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Senior Software Engineer, Card Authorization

Remote

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury Flex and Novo rely on Lithic's developer-friendly APIs direct network connections and flawless reconciliation to launch and scale card programs in weeks not years. We're building a future where access to better financial products materially improves people's lives free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision including Bessemer Venture Partners Index Ventures Spark Capital Stripes and Mastercard along with many others. We're a team of 170+ across 26 states and 7 countries headquartered in New York City. We are hiring a Senior Software Engineer for Lithic’s Card Authorization team which owns the real-time systems that make every card authorization decision correct reliable and fast. The team also owns related fraud tooling including Lithic’s Rules Engine and 3D Secure integration. You’ll own high-impact projects end-to-end solve distributed-systems problems at scale and help build the tools customers use to control fraud and payment risk. Job responsibilities Write reliable secure scalable code for Lithic’s real-time authorization and fraud-prevention systems with minimal tech debt Build customer-facing features such as rules improvements velocity controls 3DS flows fraud tooling and transaction monitoring. Own projects from planning to launch. Improve the reliability of systems in team’s scope and participate in the team on-call rotation Lead efforts to improve systems and processes within the team Qualifications 4+ years building production backend systems. Full stack experience is a plus. Experience in or desire to learn Rust ability to understand Lithic’s system written in other programming languages (Python Java) Interest and experience in leveraging AI tools to enhance productivity Ability to navigate ambiguity align diverse perspectives and drive toward practical solutions Experience or interest in payments fintech fraud prevention. Comfort with designing systems from scratch and owning the product development process end-to-end Strong written communication skills and experience working in a remote async-first team that’s spread across time zones The annual US salary range for this role is $160000 to $200000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications. This is a remote position. However candidates must be located in the United States Canada (Ontario or British Columbia) Netherlands Poland or Czech Republic. We do not offer visa sponsorship or assistance. Crack the code A hidden code is tucked into this application. Find it and enter it below to continue. 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 Benefits for Full-Time US Employees Unlimited PTO 12-weeks fully paid parental leave 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) Work From Anywhere work from anywhere in the world 4-weeks each year 3% cashback on card purchases with your complimentary Privacy.com employee account Health vision and dental insurance HSA Contribution Match 401(k) match Voluntary Life Insurance and STD/LTD NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days and you'll choose a third day that works for your schedule and team needs. In-office employees receive Commuter benefit Catered lunch every Tuesday and Thursday

Senior DevOps Engineer I

American Fork, Utah, United States

ABOUT LVT LVT is redefining how businesses operate in the physical world moving beyond traditional security solutions to deliver AI-driven actionable intelligence that makes sites smarter safer and more secure. Since pioneering our first mobile solar-powered units our commitment to scrappy hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety compliance and operations. This is your chance to join a cutting-edge team that isn't just watching the world change but actively building the technology that is changing it. We’re a team that’s focused on growth and innovation and we’re proud that our crew products and leadership are being recognized for it. A Top-Tier Growth Company Named one of the Financial Times’ Fastest Growing Companies 2025 and 10 on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership Our CEO Ryan Porter was named an EY Entrepreneur of the Year 2025 and our CTO Steve Lindsey was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE As a Senior DevOps Engineer at LVT you will play a pivotal role in designing scaling and securing the cloud infrastructure and platform engineering solutions that power our next-generation Agentic AI platform and massive IoT edge fleet. Reporting to the Senior Engineering Manager of DevOps you will collaborate with cross-functional software and hardware engineering teams to drive automation robust GitOps workflows and resilient systems design. Your expertise will directly enhance the operational reliability security and velocity of our global intelligent site technology. This role is based out of our headquarters in American Fork Utah. It will operate on a hybrid schedule initially with the expectation of transitioning to a full in-person in-office model. ROLE RESPONSIBILITIES Infrastructure Architecture Own architect and continuously optimize cloud infrastructure using Infrastructure as Code across multi-region production environments to support LVT’s massive scaling needs. Orchestration & Containerization Manage upgrade and optimize high-availability Kubernetes clusters focusing on seamless workload performance advanced networking and secure configurations. Deployment Automation Drive the continuous adoption and maturation of GitOps practices to build robust secure and highly predictable deployment pipelines. Cloud Operations Design and maintain scalable cloud architectures managing core services networking and identity access management while actively leading cost optimization and resource efficiency strategies. Security & Zero-Trust Compliance Ensure rigorous security boundaries and secrets compliance across all infrastructure layers by implementing zero-trust access frameworks and modern secrets management systems. Edge & IoT Enablement Support the operational health connectivity and deployment workflows of our global IoT and edge fleet technology partnering with teams to implement high-throughput messaging infrastructures. System Observability Develop implement and maintain advanced observability monitoring and alerting frameworks to ensure real-time system health visibility and rapid incident resolution. Technical Documentation & Culture Establish thorough systems documentation architectural diagrams and runbooks while actively championing an asynchronous collaborative engineering workflow within the DevOps organization. OUR IDEAL CANDIDATE Production Experience Brings 5+ years of proven DevOps platform or cloud infrastructure engineering experience within high-availability production environments. Kubernetes Mastery Possesses deep hands-on experience managing Kubernetes workloads networking RBAC storage and upgrades with a strong preference for Amazon EKS. Infrastructure as Code Expert Demonstrates advanced Terraform and Terragrunt skills with the capability to confidently own and refactor complex infrastructure module hierarchies. GitOps Delivery Experienced with declarative continuous delivery methodologies and GitOps tooling with a strong preference for ArgoCD. AWS Ecosystem Fluency Exhibits deep technical knowledge of core AWS environments including VPC design IAM EKS ALB/NLB S3 CloudWatch and rigorous cloud cost management. Systems Fundamentals Highly comfortable with Linux systems administration advanced shell scripting and deep debugging at the operating system level. Identity & Secrets Management Proven experience managing secrets securely with a strong preference for HashiCorp Vault alongside exposure to zero-trust access platforms like Teleport Boundary or BeyondCorp. Collaboration & Communication Strong written communicator who excels at documenting complex systems authoring practical runbooks and executing within async-first workflows. Advanced Domain Expertise (Plus) Experience or exposure to IoT/edge fleet management and MQTT brokers observability platforms like Datadog or Coralogix AWS GovCloud/FedRAMP compliance contexts or overlay networking like NetFoundry and OpenZiti. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew’s health families and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include but not limited to Comprehensive health dental and vision coverage retirement benefits (401k match up to 4%) and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race color religion sex sexual orientation gender identity national origin veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process and/or to perform essential job functions please reach out to your recruiter.

ML & Agentic Systems Engineer [IC4]

Remote

Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation but the infrastructure to understand oversee and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems precise context for their agents and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm we provide the context layer teams need to take control of their codebase. With Code Search Deep Search MCP and Agentic Batch Changes we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence and the ability to make changes across hundreds of repositories at once. Companies like Stripe Reddit and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z Sequoia and Redpoint and proud to operate as a globally distributed team that values high agency direct communication and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence join us. Hours & location 🌎 While we hire almost anywhere in the world we have a preference for someone to reside in the following locations for this role. However if you feel qualified we welcome you to apply regardless of location. No matter what working hours must overlap with EST for at least 20 hours/week. Preferred locations Europe North America Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer Deep Search our agentic multi-step answer engine across an enterprise's entire lineup of codebases Query Assist turning natural language queries into Sourcegraph query syntax Smart Hovers concisely summarizing symbols right where devs need it guided diff review and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering a blend of software engineering machine learning and statistics. Agent engineering tells us which model to use and when how to retrieve and pack context how to measure answer quality where to fine-tune or distill a smaller model to cut costs and latency and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding you'll be the technical owner of it setting the tam’s direction for models evaluations and agentic systems making our products measurably better faster and cheaper and raising the team's fluency in building with models. This is a staff-level role we're hiring a technical leader not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest most ambiguous problems in this space set standards others follow and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic large-scale systems and AI into experiences never seen before. Concretely you'll own work like Agentic systems. You'll design and harden the multi-step tool-using agent loops behind current and new agentic experiences turning research and experiments into reliable observable and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep when to use targeted smoke tests and metrics and how to avoid noise dressed up as rigor so we can move fast with confidence. Models selection upgrading and training. You'll decide which models we run where drive upgrades and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval ranking context windows citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features and profile distill cache and right-size models so we can ship ambitious features sustainably. You'll do this on a small senior-leaning team that ships quickly owns a lot of product surface and has streamlined product management engineers here talk to customers frame the problem and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally and land your first improvements to a model prompt retrieval path or eval. Build a clear picture of where the AI engineering pain is and the product surfaces most constrained by them. Get to know the team and our customers and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months you will… Own a meaningful agentic slice of the product end-to-end driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly the evals dashboards and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them reviewing their code and modeling good agent engineering instincts. 📅 Within six months you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates and increasingly the wider department defer to on model eval and agent-design decisions. Have measurably moved the products better answer quality lower cost/latency or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents bringing conviction backed by evidence about which bets are worth making and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning evaluation and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product build the production systems around them steer technical direction and be a force multiplier for a talented product-minded team. You're equally comfortable reasoning about an eval harness a fine-tuning run a retrieval pipeline and the multi-step agent loop that ties them together and you make everyone around you better at all of it. You operate at staff scope you own the most ambiguous highest-risk problems in your domain go into whatever codebase a problem requires set standards and patterns others adopt and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation production rollout and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval how you chose baselines and metrics what error analysis revealed and how production evidence affected the next version. You build agents fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable observable and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets meaningful baselines useful error taxonomies and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep where lightweight smoke tests or qualitative review are enough and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality latency and cost tradeoffs and use the appropriate combination of model selection prompting retrieval caching distillation and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea a few customer quotes and a Slack thread you come back with a plan a prototype milestones and a point of view on tradeoffs without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC you go into whatever part of the codebase a problem requires recognize issues beyond your immediate area and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems providing substantive design and code reviews and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads you turn raw signals into requirements scopes and milestones and you push back when feedback would lead the product astray. You're pragmatic not a perfectionist. You ship the smallest correct thing prefer robust solutions over complicated ones and keep a high-quality bar with simplicity. On the engineering fundamentals You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend TypeScript on the frontend GraphQL Postgres Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools and you understand and own every line it submits. You're comfortable in an async-first multi-service fast-paced remote environment. Nice-to-haves You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly what worked what didn't what you'd do differently. You've fine-tuned distilled or trained models to meet cost latency or quality targets in production. Experience with retrieval ranking embeddings or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation We pay above-market salaries because we want to hire exceptional people who can focus on building great products not worrying about paying bills. As an open and transparent company our compensation philosophy and pay bands are visible to every Sourcegraph teammate and we strive to make our approach equitable explainable and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process we'll discuss the range applicable to you based on job level relevant skills experience qualifications and location zone. The starting salary for the IC4 pay band in each zone is Zone 2 $176000 USD Zone 3 $132000 USD Zone 4 $88000 USD 📈 In addition to competitive cash compensation we offer meaningful equity (because when Sourcegraph succeeds we want you to succeed too) and generous perks & benefits Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street after all! We expect the interview process to take 4.75 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [45m] Hiring Manager Screen Resume Deep Dive 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team including cross-functional partners… [60m] Technical Interview [60m] Technical Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Director of Engineering, Security Factory

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity improve operational efficiency reduce security and compliance risk and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better more secure software faster. The same principles built into our products are reflected in how our team works we embrace AI as a core productivity multiplier with all team members expected to incorporate AI into their daily workflows to drive efficiency innovation and impact. GitLab is where careers accelerate innovation flourishes and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with and do not endorse products or services of GitLab. An overview of this role As Director of Engineering Security Factory you will lead the engineering organization responsible for GitLab’s customer-facing security capabilities across our AI-powered DevSecOps platform. You’ll help shape how customers detect prioritize and remediate vulnerabilities across modern software workflows by guiding teams that build proprietary scanners AI-driven detection engines agentic remediation flows and supporting security foundations. Reporting to the VP of Engineering Sec section you’ll set the engineering vision and roadmap for a distributed group of nine teams including engineering managers and create the conditions for strong delivery sound technical direction and healthy team growth. Some Examples Of Our Projects Advanced proprietary scanners for Static Application Security Testing Software Composition Analysis Secret Detection and related AI and machine learning detection engines Agentic security flows for autofix and guided remediation plus research that strengthens AI security threat intelligence vulnerability management and security foundations What you’ll do Set the engineering vision and multi-quarter roadmap across teams working on proprietary scanners AI-driven security workflows research functions vulnerability management and security foundations. Lead a distributed engineering organization of managers and individual contributors with a focus on team performance engagement and career development. Drive architectural decisions for AI and machine learning detection engines agentic remediation flows and scalable scanning infrastructure. Partner with product management to define priorities shape requirements and deliver security capabilities for customers in regulated and security-conscious environments. Own the engineering delivery of GitLab’s proprietary application security scanners agentic remediation workflows and AI Security Research efforts. Represent the Security Factory stage in cross-functional planning executive reviews security disclosures and customer conversations. Establish engineering standards for delivery observability incident response scanner quality and code quality. Contribute to GitLab’s transparent async-first way of working through issues merge requests and the GitLab handbook. What you’ll bring Experience leading engineering organizations with multiple teams and managers in a distributed environment. Strong understanding of application security fundamentals including Static Application Security Testing Software Composition Analysis secret detection vulnerability management workflows and software supply chain security. Experience building detection analysis or scanning systems in a software as a service or DevSecOps environment including trade-offs across precision recall latency and scale. Direct experience shipping a customer-facing AI or machine learning product feature tied to detection or remediation quality outcomes. Ability to partner closely with product management on roadmap planning prioritization and requirements in a product-led context. Strong written communication skills and comfort leading through clear documentation in a remote async-first organization. Collaborative leadership style that supports teams gives direct feedback and aligns with GitLab’s values. Familiarity with agentic AI systems AI agent orchestration threat intelligence research or open source security tooling is useful and we welcome candidates with adjacent or transferable experience. About The Team The Security Factory group builds the customer-facing security capabilities of GitLab’s AI-powered DevSecOps platform. The organization includes nine teams working across proprietary scanners AI-driven detection agentic remediation research vulnerability management and security foundations and it collaborates asynchronously across regions with product management and other cross-functional partners. The team is focused on improving detection quality scaling security workflows for enterprise use and strengthening how GitLab helps customers secure the software supply chain. For more on how this team works see the Sec Engineering Handbook page. How GitLab Supports Full-Time Employees Benefits to support your health finances and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience many successful candidates do not meet every single requirement. Additionally studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role please apply and allow our recruiters to assess your application. Country Hiring Guidelines GitLab hires new team members in countries around the world. All of our roles are remote however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment employment career development and advancement promotion and retirement are based solely on merit regardless of race color religion ancestry sex (including pregnancy lactation sexual orientation gender identity or gender expression) national origin age citizenship marital status mental or physical disability genetic information (including family medical history) discharge status from the military protected veteran status (which includes disabled veterans recently separated veterans active duty wartime or campaign badge veterans and Armed Forces service medal veterans) or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation please let us know during the recruiting process.

Senior Project Manager

Sarajevo, Federation of Bosnia and Herzegovina, Bosnia And Herzegovina

Senior Project Manager 📍 Remote Full-time placement 4+ hrs daily US overlap About the Company An established US SaaS company in the event management space in market for over 15 years. Their platform powers conferences festivals university programs and professional development events for major universities school districts and global nonprofits. The product spans a web platform plus native iOS and Android apps. They are now modernizing a long-lived codebase while layering AI across their core services from schedule building and conflict detection to event analytics. The Role You own delivery across two programs running at the same time rebuilding parts of an established platform and shipping the AI capabilities built on top of it. You are the person keeping sequencing scope and release risk under control across backend infrastructure mobile and design in a small senior team without a PMO layer. Responsibilities Own the delivery plan for the platform modernization program sequencing migration work so feature delivery continues on the same codebase Run delivery for AI features across the product from scoping and acceptance criteria through evaluation and release Coordinate a small cross-functional team across backend infrastructure native mobile and product design Manage release windows around event seasonality freeze periods staged rollouts and rollback plans for customers running live events Own mobile release cycles through App Store and Play Store review including phased rollout and version support Turn leadership priorities into scoped estimated work and push back when scope and capacity do not match Build the documentation layer that reduces key-person dependency decision records runbooks and clear ownership Requirements 6+ years in project or delivery management for software products including 2+ years on a platform or infrastructure-heavy program Track record on a migration or modernization program delivered alongside live feature work on the same codebase Experience delivering customer-facing AI or LLM features including how output quality was evaluated before release Strong technical literacy you can read tickets question an estimate and understand data model or API consequences without a translator Experience managing native iOS and Android release cycles Excellent written English and an async-first working style Minimum 4 hours of daily overlap with US business hours Nice to Have Domain exposure to events ticketing scheduling or EdTech Experience with PHP-based platforms or teams migrating off one Familiarity with privacy requirements for education and public sector customers (FERPA GDPR) Experience embedded with a nearshore or distributed engineering team What's on Offer Fully remote based in the Balkans Long-term full-time placement embedded with the client's product team Direct line to founders and real authority over sequencing and process A program with visible stakes the platform runs events that cannot go down Compensation at senior Balkan market level discussed openly on the first call

Junior Fullstack Engineer Intern

Remote Malaysia

About ORA At ORA we believe that healthcare should be accessible convenient and deeply personal. We are building a modern digital experience that enables patients to access care on their terms delivering high-quality specialised treatments for chronic conditions. As a vertically integrated telehealth platform founded in 2020 ORA is Southeast Asia’s fastest-growing digital health provider. We operate a shared core technology and services layer that powers our demographic-focused digital clinics across Singapore Malaysia and the Philippines with additional regional markets launching soon. Our growing portfolio of healthcare brands includes andSons (men’s health) OVA (women’s health) and Modern Molecules (online dermatology). We are backed by a $10M Series A funding round the largest investment for any digital health organisation in Southeast Asia and we are expanding rapidly to unlock our next phase of growth. Who This Role Is Best For You are comfortable working across the frontend and backend enjoys improving existing products and can work independently in a remote environment. This role is suited to someone who wants to build practical experience across our stack while helping optimise and maintain product features allowing our senior engineers to focus on core development. Responsibilities Product Optimisation Pick up and complete product optimisation tickets from the engineering backlog including UI fixes small feature enhancements API/backend changes conversion and funnel improvements and performance or quality cleanup. Fullstack Development Implement changes across the stack working with React Next.js and TypeScript on the frontend as well as Node.js APIs and PHP on the backend. A/B Testing & Growth Experiments Support A/B tests and growth experiments end to end by building variants making necessary backend changes setting up tracking and assisting with the interpretation of results. Bug Fixing & Troubleshooting Investigate and resolve bugs and product issues reported by Product Support or QA tracing issues across the frontend and backend where necessary. Code Quality & Reviews Write clean well-structured PRs and respond constructively to code review feedback. Product & Design Collaboration Work closely with Product and Design to understand requirements translate small briefs into working solutions and deliver changes with minimal supervision. Async-First Teamwork Work within the engineering team’s normal workflow including daily standups async communication and ticket management through Linear. Ship changes through GitHub PR and review. Delivery & Ownership Take ownership of assigned tickets seek guidance from senior engineers early when needed and prioritise delivering practical improvements within the same week rather than allowing small tasks to extend across multiple weeks. Qualifications and Requirements This internship is suited for students or recent graduates who want hands-on experience in healthcare operations product or startups. Currently pursuing or recently completed a degree in computer science software engineering or a related field (or equivalent self-taught experience with a strong portfolio/GitHub) Based in Malaysia and available for a 3–6 month remote contract. Strong fundamentals in JavaScript/TypeScript and React with basic backend/API experience using Node.js or similar technologies. Comfortable navigating and working within an existing codebase rather than only building projects from scratch. Has shipped a real project whether through freelance work an internship open-source contributions or personal development. Clear written communication skills with the ability to explain bugs changes and blockers without unnecessary back-and-forth. Comfortable using AI-assisted “vibe coding” tools such as Cursor GitHub Copilot or Claude Code to accelerate development and ship features efficiently. Nice to have Experience with Next.js and relational databases such as PostgreSQL or MySQL familiarity with Git workflows and PR-based collaboration and an interest in healthcare telehealth or consumer products. Our Commitment to Inclusivity and Accessibility At ORA we believe that diverse perspectives build stronger healthcare outcomes. We are committed to creating an inclusive work environment where all individuals are treated with respect fairness and dignity. We welcome applications from qualified candidates of all backgrounds. We are also dedicated to providing a fair and accessible recruitment process. If you require any reasonable adjustments or support during the application or interviewing stages please let us know so that we can accommodate your needs. Are you ready to power the future of digital health? Apply today to join the ORA team. Pay Up to RM1000.00 per month Application Question(s) Do you live in Malaysia? Location Remote (Preferred) Work Location Remote

ML & Agentic Systems Engineer [IC4]

Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation but the infrastructure to understand oversee and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems precise context for their agents and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm we provide the context layer teams need to take control of their codebase. With Code Search Deep Search MCP and Agentic Batch Changes we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence and the ability to make changes across hundreds of repositories at once. Companies like Stripe Reddit and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z Sequoia and Redpoint and proud to operate as a globally distributed team that values high agency direct communication and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence join us. Hours & location 🌎 While we hire almost anywhere in the world we have a preference for someone to reside in the following locations for this role. However if you feel qualified we welcome you to apply regardless of location. No matter what working hours must overlap with EST for at least 20 hours/week. Preferred locations Europe North America Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer Deep Search our agentic multi-step answer engine across an enterprise's entire lineup of codebases Query Assist turning natural language queries into Sourcegraph query syntax Smart Hovers concisely summarizing symbols right where devs need it guided diff review and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering a blend of software engineering machine learning and statistics. Agent engineering tells us which model to use and when how to retrieve and pack context how to measure answer quality where to fine-tune or distill a smaller model to cut costs and latency and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding you'll be the technical owner of it setting the tam’s direction for models evaluations and agentic systems making our products measurably better faster and cheaper and raising the team's fluency in building with models. This is a staff-level role we're hiring a technical leader not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest most ambiguous problems in this space set standards others follow and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic large-scale systems and AI into experiences never seen before. Concretely you'll own work like Agentic systems. You'll design and harden the multi-step tool-using agent loops behind current and new agentic experiences turning research and experiments into reliable observable and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep when to use targeted smoke tests and metrics and how to avoid noise dressed up as rigor so we can move fast with confidence. Models selection upgrading and training. You'll decide which models we run where drive upgrades and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval ranking context windows citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features and profile distill cache and right-size models so we can ship ambitious features sustainably. You'll do this on a small senior-leaning team that ships quickly owns a lot of product surface and has streamlined product management engineers here talk to customers frame the problem and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally and land your first improvements to a model prompt retrieval path or eval. Build a clear picture of where the AI engineering pain is and the product surfaces most constrained by them. Get to know the team and our customers and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months you will… Own a meaningful agentic slice of the product end-to-end driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly the evals dashboards and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them reviewing their code and modeling good agent engineering instincts. 📅 Within six months you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates and increasingly the wider department defer to on model eval and agent-design decisions. Have measurably moved the products better answer quality lower cost/latency or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents bringing conviction backed by evidence about which bets are worth making and pulling other engineers up to execute on them. About You You are a staff engineer and technical leader with hard-won skills across production machine learning evaluation and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product build the production systems around them steer technical direction and be a force multiplier for a talented product-minded team. You're equally comfortable reasoning about an eval harness a fine-tuning run a retrieval pipeline and the multi-step agent loop that ties them together and you make everyone around you better at all of it. You operate at staff scope you own the most ambiguous highest-risk problems in your domain go into whatever codebase a problem requires set standards and patterns others adopt and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation production rollout and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval how you chose baselines and metrics what error analysis revealed and how production evidence affected the next version. You build agents fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable observable and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets meaningful baselines useful error taxonomies and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep where lightweight smoke tests or qualitative review are enough and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality latency and cost tradeoffs and use the appropriate combination of model selection prompting retrieval caching distillation and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea a few customer quotes and a Slack thread you come back with a plan a prototype milestones and a point of view on tradeoffs without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC you go into whatever part of the codebase a problem requires recognize issues beyond your immediate area and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems providing substantive design and code reviews and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads you turn raw signals into requirements scopes and milestones and you push back when feedback would lead the product astray. You're pragmatic not a perfectionist. You ship the smallest correct thing prefer robust solutions over complicated ones and keep a high-quality bar with simplicity. On the engineering fundamentals You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend TypeScript on the frontend GraphQL Postgres Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools and you understand and own every line it submits. You're comfortable in an async-first multi-service fast-paced remote environment. Nice-to-haves You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly what worked what didn't what you'd do differently. You've fine-tuned distilled or trained models to meet cost latency or quality targets in production. Experience with retrieval ranking embeddings or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products not worrying about paying bills. As an open and transparent company our compensation philosophy and pay bands are visible to every Sourcegraph teammate and we strive to make our approach equitable explainable and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process we'll discuss the range applicable to you based on job level relevant skills experience qualifications and location zone. 💰 The starting salary for the IC4 pay band in each zone is Zone 2 $176000 USD Zone 3 $132000 USD Zone 4 $88000 USD 📈 In addition to competitive cash compensation we offer meaningful equity (because when Sourcegraph succeeds we want you to succeed too) and generous perks & benefits. Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street after all! We expect the interview process to take 4.75 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [45m] Hiring Manager Screen / Resume Deep Dive 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team including cross-functional partners… [60m] Technical Interview [60m] Technical Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook. We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

GTM Intern

"Location Remote (Work from anywhere just get things done 🌍) Type Full-time Internship Duration 3–6 months (with a high-conviction path to a full-time offer ) About FlocCare Healthcare communication is broken. We’re fixing it. FlocCare is a fast-growing Gen AI-native startup on a mission to completely disrupt how healthcare providers generate and distribute content. Our platform gives healthcare organizations the resources they need to hyper-personalize patient education and scale it globally. We’re moving fast shipping daily and looking for builders to join the rocket ship. The Role As our Product Growth Intern (aka Growth Hacker) you won’t just be executing you’ll be owning critical pieces of our go-to-market engine. You’ll sit at the intersection of product marketing and sales running experiments driving our Product-Led Growth (PLG) motion and obsessing over the user journey to help us hit our next big ARR milestones. What You’ll Own (Your Impact) Growth Hacking Run scrappy experiments analyze user behavior data and optimize our funnels to crush KPIs (activation retention and viral loops). Cross-Functional Jamming Partner directly with our product and GTM teams to uncover insights and shape our feature roadmap. Growth Marketing Spin up zero-to-one digital campaigns across SEO email and social that actually convert. Talk to Users Jump on Zoom for onboarding product demos and customer success. You’ll be the voice of FlocCare turning users into raving evangelists. GTM Hustle Build killer sales collateral pitch decks and outreach sequences that cut through the noise. Who You Are (The DNA we’re looking for) You’re a Builder Currently studying Marketing Business or just building cool side-projects on the internet. Data-Obsessed You eat spreadsheets for breakfast and love using data to prove a hypothesis. Customer-Obsessed Incredible written and verbal communication skills. You know how to talk to people and find their pain points. Scrappy & Autonomous We’re an async-first globally distributed team. You don’t wait for permission to make an impact. AI-Pilled You’re genuinely obsessed with the massive unlock that Gen AI brings to legacy industries like healthcare. Bonus Points (Nice to haves) You know your way around a modern growth stack (HubSpot Google Analytics Mixpanel etc.). Previous stint at an early-stage startup or a growth marketing role. You know what ""CAC"" ""LTV"" and the ""Aha! moment"" actually mean. Basic understanding of healthcare compliance (or a willingness to learn fast). Why FlocCare? Get on the Rocket Ship 🚀 This isn't just an internship it's a 3-6 month interview for a full-time role as we scale. Zero Red Tape True ownership from Day 1. Have a good idea? Ship it. Mentorship Learn directly from seasoned product marketing and AI operators who have built and scaled products before. Async-First Culture We care about output not hours. Work when and where you are most productive. (Pro-tip Want to stand out? Send us a 60-second Loom video telling us why you're the perfect fit instead of a traditional cover letter.)"

Software Engineer/Tech Lead - Code Plane [IC5]

"Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation but the infrastructure to understand oversee and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems precise context for their agents and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm we provide the context layer teams need to take control of their codebase. With Code Search Deep Search MCP and Agentic Batch Changes we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence and the ability to make changes across hundreds of repositories at once. Companies like Stripe Reddit and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z Sequoia and Redpoint and proud to operate as a globally distributed team that values high agency direct communication and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence join us. Hours & location 🌎 While we hire almost anywhere in the world we have a preference for someone to reside in the following locations for this role. However if you feel qualified we welcome you to apply regardless of location. No matter what working hours must overlap with CEST for at least 20 hours/week. Preferred locations Europe East Coast USA Why this job is exciting The Code Plane team owns the Sourcegraph products that help developers - and the agents working on their behalf - take action on code at scale across the world's largest codebases. Think “data plane” and “control plane” for enterprise code the surfaces where intent becomes code changes across hundreds (or more!) of repositories. This is a team that builds products that use AI and products for AI. The roadmap the architecture and the day-to-day technical decisions all hinge on a solid experience with and a clear-eyed view of what AI models and agents are good at where they fail and how to design products around them. A strong handle on and opinion of AI formed from real-world hands-on use not just observation is a hard requirement for this role. If you're excited to ship for the AI agent ecosystem rather than simply watch from the sidelines you'll find a lot to love here. We're hiring you to be the technical leader around whom this team rallies. Our product surfaces are evolving drastically as agents reshape how software is built and we are adjusting our engineering teams to match. It is an exciting time and a rare chance to be a strong leader shaping dev tools for the agentic age of coding. Code Plane owns high-stakes fast-moving products at the center of that shift and needs a tech lead who will set technical and product direction drive the roadmap from issue to shipped and keep the team unblocked and moving. You'll work directly with customers design partners and cross-functional partners to translate real customer needs into a concrete plan the team can build on own and follow. The team's surface areas include Batch Changes - our battle-tested execution layer for massive cross-repo changes helps developers automate large-scale code changes across all of an enterprise's repositories keeping code up-to-date fixing critical security issues and paying down tech debt with every change tracked through checks and code review until it merges. Teams at Stripe Uber and Dropbox and others use it to drive migrations refactors and security fixes. Agentic Batch Changes. The frontier agent for code changes at scale. Building on the foundation of Batch Changes an outer-loop agent writes code-modification programs and orchestrates coding agents to roll out changes across the world’s largest codebases complete with CI feedback loops and post-publish remediation. Anything a single coding agent can do in one repository Agentic Batch Changes drives across all of them at once from thousands of repositories to the largest monorepos. Code Monitors and Code Insights - our ""signals over code"" products. Code Monitors notify and alert based on detected changes in critical code. A leaked secret a deprecated library an anti-pattern creeping back in can all turn into alerts. Code Insights turns a codebase into data to back up business decisions and customizable dashboards surfacing critical info about repos so devs can track what matters over time - migration progress dependency adoption vulnerability mitigation code health - with data-driven answers. The src CLI tool - the command-line surface that humans and the agents they employ use to automate Sourcegraph in their workflows. With a natural scriptable surface it's quickly becoming the connective tissue between Sourcegraph and the agent ecosystem. The features your team ships are used directly by developers and by agents working on their behalf and you'll partner closely with Product Design Customer Engineering and adjacent engineering teams to turn customer pain into shipped product. 📅 Within one month you will… Build relationships across your team and familiarize yourself with its surface area - Batch Changes Agentic Batch Changes Code Monitors Code Insights src CLI - by running them as a user and an agent would and form a point of view on the most important product and technical bets to make next. Meet your cross-functional partners in Product Design Solutions Engineering and adjacent engineering teams and start translating customer feedback into a concrete view of what the team should ship. Join the team's on-call support rotation. 📅 Within three months you will… Own a meaningful slice of Agentic Batch Changes end-to-end and ship critical pieces yourself. Be the technical lead for the team's roadmap scoping and sequencing projects across the team's product surfaces setting clear expectations for ownership and clarifying priorities. Strengthen the team practices that make their work reliable how we design review test and deliver. Mentor teammates and continue to build high-trust relationships. 📅 Within six months you will… Be the recognized technical visionary for Code Plane to your teammates and increasingly the wider department defer to on architecture quality and product trade-offs in this space. Be known across the company as the person who deeply understands what customers and agent ecosystems need from Code Plane and where Sourcegraph should invest next. Be setting the direction of the team's roadmap with conviction backed by evidence and mobilizing other engineers to execute on it. About You You are a technical leader and software engineer whom people want to follow. You set technical direction make the hard architecture and tradeoff calls and keep the team unblocked and moving. You think in terms of customers and outcomes not tickets. You're at home translating fuzzy product input into a clear roadmap scoping with Product and Design and making calls about what to cut so the team can ship. You’re tackling our hardest technical problems hands-on and also guiding your team to grow. You have a point of view on coding agents - what they're good at where they fail and how products can make them dramatically more useful - and you're excited to ship for that ecosystem. You actively contribute to a collaborative respectful async-first culture. You communicate thoughtfully and proactively you keep stakeholders informed without being asked and you're not afraid to push back — or to change your mind when someone has a better idea. 8+ years of professional software engineering experience A strong technical background with the ability to provide technical guidance on architecture code quality and trade-offs. Proven experience on teams that build end-user product features — ideally developer tools agent/AI products CLIs or other technical product surfaces. Experience partnering closely with Product and Design to take features from idea to shipped and incorporating customer feedback into the roadmap. Customer-facing experience discovery calls design partnerships incorporating feedback loops into a roadmap. Experience shipping products consumed by or built for AI agents (MCP servers agent SDKs agentic dev tooling agent-friendly CLIs). Hands-on experience using and reasoning about coding agents (Amp Claude Code Cursor or similar) with strong opinions about what good looks like when humans and agents share a workflow. Async-first communication skills and experience working in a globally distributed remote team. Nice to haves Fluency with the stack the Code Plane team works in Go TypeScript/React (and ideally SvelteKit) GraphQL APIs PostgreSQL Docker/Kubernetes and a multi-service environment. Experience with developer tools code intelligence code search or large-scale code transformation/refactoring products. Experience with monitoring alerting or ""signals over code"" products (e.g. security scanners lint platforms code-quality tools). Experience designing and shipping CLIs that are pleasant for both humans and agents to use. Experience as a Team or Tech Lead on a software engineering team. Level 📊 This job is an IC5. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products not worrying about paying bills. As an open and transparent company our compensation philosophy and pay bands are visible to every Sourcegraph teammate and we strive to make our approach equitable explainable and competitive. Your base salary is determined by the IC5 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process we'll discuss the range applicable to you based on job level relevant skills experience qualifications and location zone. 💰 The starting salary for the IC5 pay band in each zone is Zone 1 $240000 USD Zone 2 $192000 USD Zone 3 $144000 USD Zone 4 $96000 USD 📈 In addition to competitive cash compensation we offer meaningful equity (because when Sourcegraph succeeds we want you to succeed too) and generous perks & benefits. Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street after all! We expect the interview process to take 4.75 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [45m] Hiring Manager Screen / Resume Deep Dive 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team including cross-functional partners… [60m] Technical Interview [60m] Technical Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook. We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees."

Information Technology Manager

RemoteLegalStaff exists because there are incredibly talented legal professionals all over the world who've never had a shot at the U.S. legal market. We place and fully manage remote legal staff for U.S. law firms hiring from Latin America the Philippines South Africa and beyond. We're growing fast and we don't just place people and disappear. We train them manage them go to bat for them and help them build real careers. Our internal team is the engine behind all of it. You won't be a cog here. You'll be the reason someone on the other side of the world lands an opportunity that changes their trajectory. Are you interested in becoming part of this amazing team? Click apply! About the role RemoteLegalStaff is a fast-growing legal staffing company supporting ~400 globally distributed staff and over 250 clients with an internal team of 70+. As our first IT Manager you'll take full ownership of our IT function from fixing our Google Workspace environment to building the policies systems and support structures a company of our size needs to run securely and efficiently because our current size is just the beginning and we're ready to scale. This is a hands-on role. You won't be managing a team on day one you'll be doing the work. The right person has built IT infrastructure from scratch before thrives in ambiguity and understands that in a remote legal environment reliability and trust are non-negotiable. What you'll own Take over all IT responsibilities from our owners and become the single owner of the IT function Audit all existing tools accounts licenses and configurations document what exists and what's missing Build an IT roadmap and 90-day priority plan Create and maintain IT policies acceptable-use guidelines and a self-service knowledge base Fully own our Google Workspace environment Enforce MFA security defaults and data sharing controls Manage user accounts license assignments access provisioning and deprovisioning across all platforms Maintain an accurate inventory of users roles access levels and licenses Audit all SaaS subscriptions and rationalize unnecessary or duplicate tools Manage vendor relationships renewals and negotiations Track license utilization so we only pay for what we use Select implement and manage an IT ticketing / service desk platform Build self-service resources to reduce repetitive support requests over time Implement and enforce security fundamentals MFA password management role-based access controls Conduct periodic access reviews and proactively identify security gaps As the organization grows recruit onboard and manage one or more IT Support Specialists Build a small scalable IT support function for a growing global team Support our marketing team with the technical side of domain and subdomain setups and web development What we're looking for Essential 4–6 years of IT experience including at least 2 years in a hands-on senior sysadmin or IT management role Google Workspace Admin experience managing for 100+ users non-negotiable Experience with an IT service desk platform (Freshdesk Zendesk Jira Service Management or similar) Experience managing a SaaS tool portfolio across multiple platforms Working knowledge of SSO SAML MFA enforcement and role-based access control Excellent written and verbal English you'll support both internal staff and external clients directly Able to work independently and proactively in a fully remote async-first environment Strong customer service instincts your audience is entirely non-technical Preferred Experience as a company's first IT hire or building IT from scratch Slack administration and integrations Background in legal professional services or staffing environments Experience supporting globally distributed teams across multiple time zones Basic automation skills (Zapier Make or similar) What success looks like Beyond the technical skills success would mean someone who can demonstrate having a service and client-centered approach to IT Management who can audit and identify main gaps and separate the critical ones from the nice-to-haves. By day 90 you should've already identified all or our digital ecosystem run a full diagnosis and proposed immediate and mid-term solutions. You'll have identified the structure you'll need on the team (both in people and in systems) to provide support everywhere it's needed. What we offer Fully remote position with a flexible work schedule Competitive base salary Annual performance bonus Anniversary loyalty bonuses Company-sponsored health insurance Generous PTO that increases with tenure (up to 30 days per year) Birthday PTO day 7 U.S. paid holidays 5 paid sick days per year Bereavement leave Additional unpaid personal leave is available Home office stipend for equipment and workspace upgrades Computer replacement stipend Monthly internet allowance (increases with tenure) Professional development and training programs Education support for high performers A collaborative supportive team culture where people are genuinely invested in each other's success A fast-moving environment where your work has real visibility and direct impact Clear path to growth we promote from within and reward people who perform How to apply? Hit Apply and you'll be redirected to our application form. Follow all instructions carefully How our hiring process works We are a fully remote company and our hiring process reflects that. The first stages are completely asynchronous no surprise calls no scheduling pressure. You will complete a short written application and if selected move through an async assessment at your own pace. Candidates who advance through the initial stages will then be invited to schedule a live interview. We communicate clearly at every step and respect your time throughout!

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