Grafana Labs the company behind the open observability cloud is founded on the principles of open source open standards open ecosystems and open culture. Grafana Cloud our fully managed observability platform is flexible and built for scale. With Grafana Cloud's actually useful AI organizations can see understand and act on all their disparate data to move at the speed of their ambitions. Today more than 35 million users and 7000+ customers – including Anthropic Bloomberg NVIDIA Microsoft and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems resolve incidents quickly and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1600+ team members across 40+ countries and we’re backed by leading investors including Lightspeed Venture Partners Sequoia Capital GIC Coatue J.P. Morgan CapitalG and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different an open-source legacy a global collaborative culture and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency autonomy and trust fuel everything we do. You may not meet every requirement and that’s okay. If this role excites you we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK Sweden Spain Germany or Ireland. ### About the role We are looking for a Staff Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir Loki Tempo and Pyroscope. We provide these databases as a SaaS product from AWS GCP and Azure across all regions. The SRE team is embedded within the Mimir Loki and Tempo squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. In this role you will Partner closely with product engineering squads (embedded model) Own production reliability for high-SLA and complex customer environments Design and implement automation to scale our reliability practices Ensuring our customers meet our SLO targets Define and evolve per-tenant SLOs and reliability models Proactively reduce SLO burn to prevent repeat incidents Serving as a primary escalation point and on-call for relevant incidents Lead customer-impacting incident response and post-incident reviews Contribute to design docs and code reviews Influence feature design to ensure production scalability and operability Build automation to eliminate toil where needed Improve alert quality and reduce noisy escalations We seek a staff software engineer operating at the intersection of customer needs production systems and product engineering. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools within security guidelines) backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development faster prototyping test generation refactors documentation and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g. GPT-Codex 5/3 Claude Opus 4.6 Gemini 3 Pro). ### What we seek 8+ years engineering experience 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience. Strong Kubernetes experience in AWS GCP or Azure and familiarity with infrastructure-as-code tooling (Helm Terraform Jsonnet etc.). Strong experience with technical leadership leading a team through projects mentoring other engineers on the team and serving as a force-multiplier Experience operating multi-tenant systems in production Strong experience designing and implementing SLOs Experience with one or more programming languages (e.g. Go Python Java etc) Experience with Linux operating systems internals and some knowledge of networking cloud storage and scaling. Excellent problem-solving and troubleshooting skills. Experience with calmly and actively participating in blame-free Incident Response following up on actions and writing high quality PIRs (Post Incident Reviews a.k.a. post-mortem documents) Ability to reason about performance scaling and failure modes Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction. Ability to partner deeply with product engineering teams We highly value those who are intellectually curious who default to transparency possess a high bias towards action and who are also kind (this is important!) ### Your day-to-day will include Regular 11s to with your manager and colleagues Reviewing and creating SLOs proactively investigating ways in which we can further reduce budget burn for those SLOs which can be self-directed or as the result of learnings from incidents and may include improvements to monitoring automation increasing self-healing auto-scaling etc. Improve observability of customers within their environments Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle. Collaborating with our Engineering Leaders to help define and influence product strategy roadmaps and technical designs Participate in PR review and collaborating with other engineers on their Design Docs Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality Participate in Incident Response when applicable including investigation through to resolution PIR and communication with customers via Bridge calls where necessary In Ireland the Base compensation range for this role is €117600 - €141120. Actual compensation may vary based on level experience and skillset as assessed in the interview process. Benefits include equity bonus (if applicable) and other benefits listed here.#LI-Remote #LI-Remote Compensation ranges are country specific. If you are applying for this role from a different location than listed above your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs 100% Remote Global Culture - As a remote-only company we bring together talent from around the world united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved visible and human. Passionate People – Join a team of smart supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. We will comply with local legislation where applicable. Equal Opportunity Employer Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race colour nationality origin caste sex gender reassignment identity or expression sexual orientation age religion or belief disability veteran status genetic information pregnancy maternity marital family or carer status or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job check out our privacy policy.

We are looking for a Part-Time Customer Support Representative to join our team. In this role you will play a key part in delivering an outstanding customer experience by responding to inquiries resolving issues and building positive relationships with our customers. The ideal candidate is fluent in Italian (C1 level) has excellent communication skills and enjoys helping people in a fast-paced environment. Requirements Fluency in Italian (C1 level) both written and spoken. Previous experience in customer support customer service or a related role is preferred. Excellent written and verbal communication skills. Strong problem-solving abilities and attention to detail. Ability to work independently while collaborating effectively with a team. Comfortable working in a fast-paced customer-focused environment. Availability to work part-time shifts scheduled between 0900 and 2300 Monday through Saturday. Key Responsibilities Respond promptly and professionally to customer inquiries via email and chat. Provide accurate information regarding products orders delivery status and other customer-related topics. Resolve customer concerns efficiently aiming for first-contact resolution whenever possible. Escalate complex issues to the appropriate teams and collaborate to ensure timely resolution. Contribute to the continuous improvement of customer support processes and best practices. Stay up to date on product updates promotions and company policies to provide accurate support. Nice to Have Experience or familiarity with the e-commerce or delivery services industry. Work Conditions Employment Type Part-time. Schedule Shifts scheduled between 0900 and 2300 Monday through Saturday (7−8-hour shifts). Monthly Hours 80 hours per month. Compensation USD 5.17 per hour during the 2-month probation period. USD 5.74 per hour after successfully completing the probation period. Job Type Part-time Pay €5.00 - €6.00 per hour Work Location Remote

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks while you provide critical thinking domain expertise and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer you ll handle data scraping tasks requiring technical precision for web extraction and processing utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities Own end-to-end data extraction workflows across complex websites ensuring complete coverage accuracy and reliable delivery of structured datasets. Leverage internal tools (Apify OpenRouter) alongside custom workflows to accelerate data collection validation and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks cross-source consistency controls adherence to formatting specifications and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization monitor failures and maintain stability against minor site structure changes. Requirements At least 5+ years of relevant experience in data engineering web scraping automation or software development (required). Bachelor’s or Master’s Degree in Engineering Applied Mathematics Computer Science or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting automation and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems work confidently with LLMs and systematically collect structure and validate data from diverse sources. A methodical detail-oriented approach and the ability to work independently are essential. Strong experience in Python web scraping (BeautifulSoup Selenium or similar) including dynamic content (JS AJAX infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies archived pages inconsistent HTML) Solid background in data cleaning normalization and validation delivering structured datasets (CSV JSON Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain OpenRouter or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency Upper-intermediate (B2) or above (required) Project time expectations For this project tasks are estimated to require around 10–20 hours per week during active phases based on project requirements. This is an estimate not a guaranteed workload and applies only while the project is active. Compensation On this project contributors can earn up to $25 per hour equivalent depending on their level and pace of contribution. Compensation varies across projects depending on scope complexity and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks while you provide critical thinking domain expertise and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer you ll handle data scraping tasks requiring technical precision for web extraction and processing utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities Own end-to-end data extraction workflows across complex websites ensuring complete coverage accuracy and reliable delivery of structured datasets. Leverage internal tools (Apify OpenRouter) alongside custom workflows to accelerate data collection validation and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks cross-source consistency controls adherence to formatting specifications and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization monitor failures and maintain stability against minor site structure changes. Requirements At least 5+ years of relevant experience in data engineering web scraping automation or software development (required). Bachelor’s or Master’s Degree in Engineering Applied Mathematics Computer Science or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting automation and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems work confidently with LLMs and systematically collect structure and validate data from diverse sources. A methodical detail-oriented approach and the ability to work independently are essential. Strong experience in Python web scraping (BeautifulSoup Selenium or similar) including dynamic content (JS AJAX infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies archived pages inconsistent HTML) Solid background in data cleaning normalization and validation delivering structured datasets (CSV JSON Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain OpenRouter or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency Upper-intermediate (B2) or above (required) Project time expectations For this project tasks are estimated to require around 10–20 hours per week during active phases based on project requirements. This is an estimate not a guaranteed workload and applies only while the project is active. Compensation On this project contributors can earn up to $45 per hour equivalent depending on their level and pace of contribution. Compensation varies across projects depending on scope complexity and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks while you provide critical thinking domain expertise and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer you ll handle data scraping tasks requiring technical precision for web extraction and processing utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities Own end-to-end data extraction workflows across complex websites ensuring complete coverage accuracy and reliable delivery of structured datasets. Leverage internal tools (Apify OpenRouter) alongside custom workflows to accelerate data collection validation and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks cross-source consistency controls adherence to formatting specifications and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization monitor failures and maintain stability against minor site structure changes. Requirements At least 5+ years of relevant experience in data engineering web scraping automation or software development (required). Bachelor’s or Master’s Degree in Engineering Applied Mathematics Computer Science or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting automation and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems work confidently with LLMs and systematically collect structure and validate data from diverse sources. A methodical detail-oriented approach and the ability to work independently are essential. Strong experience in Python web scraping (BeautifulSoup Selenium or similar) including dynamic content (JS AJAX infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies archived pages inconsistent HTML) Solid background in data cleaning normalization and validation delivering structured datasets (CSV JSON Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain OpenRouter or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency Upper-intermediate (B2) or above (required) Project time expectations For this project tasks are estimated to require around 10–20 hours per week during active phases based on project requirements. This is an estimate not a guaranteed workload and applies only while the project is active. Compensation On this project contributors can earn up to $40 per hour equivalent depending on their level and pace of contribution. Compensation varies across projects depending on scope complexity and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.