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Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, 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 would be interested in applications from the UK, Ireland, Spain and Germany. About Grafana Cloud Observability Grafana Cloud is our fully managed observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to use the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining and scaling their own observability stack. Within the Observability department, we build products that help customers understand and troubleshoot their applications and infrastructure. We work closely with product management, design and other engineering squads to provide seamless and highly curated experiences for our customers. The squad: Database Observability We build and evolve Grafana Cloud Database Observability. We want to help users understand the health and performance of their databases, identify slow queries and troubleshoot issues through clear, actionable insights. As a frontend engineer on the squad, you’ll build experiences that make complex database telemetry easy to explore and understand. You’ll work closely with backend engineers, product management and design to take ideas from early exploration through to production and improve them based on customer feedback. Our frontend stack is primarily TypeScript and React, interacting with backends written in Go. Your primary focus will be frontend engineering, with opportunities to work across the stack, contributing to APIs and backend functionality to deliver complete customer experiences. Frontend engineers at Grafana also have opportunities to contribute to open source communities. The opportunity: Own technical projects from problem framing through rollout, including getting user feedback and measuring whether what you shipped actually worked. Collaborate with Product Management, Product Design and backend engineers to build intuitive user experiences using clean, reusable components, contributing to supporting APIs and backend functionality where needed. Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the software you help build, contributing to incident response and learning from incidents. Provide technical support in customer escalations and help us identify areas of high friction to address. Collaborate with other squads on shared dependencies, contribute to design proposals, and share the team’s work through demos and technical discussions. 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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Strong frontend engineering experience, with experience across the stack. You have experience building and maintaining production web applications with React and TypeScript, and are comfortable contributing to backend services and APIs. You value maintainability, readability, automated testing and secure development practices. Technical ownership. You have solid experience delivering complex projects, mentoring other engineers and helping teammates work more effectively. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions , building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset. You use AI coding tools thoughtfully to improve productivity and quality, validate their output, and share useful practices with teammates. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus Points for Open-source contribution or maintainership, and comfort engaging a community in the open. An active interest in observability (metrics, logs and traces) and experience with tools like Grafana, Prometheus or other observability platforms. Experience with databases, SQL or database performance monitoring. Experience building backend services in Go. Experience as an on-call user of Grafana, Prometheus, Loki or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. Compensation & Rewards: In the UK, the base compensation range for this role is £94 ,000 - £118,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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 .

Location: Berlin Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next. Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built. This role is ideally based in Amsterdam or Berlin, but we are also open to great candidates remotely in Europe. Key Responsibilities: - Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud. - Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances. - Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end. - Push the state of the art in embedded database performance, distributed execution, and DuckDB internals. - Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation. - Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most. - Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems. - Mentor teammates and help raise the bar for engineering practices across the team. - Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next. WHAT YOU BRING - You've built and shipped complex backend systems, and you know what great looks like. - You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.) - A good foundation in query engines, execution plans, indexing, and performance optimization techniques. - Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at. - You've worked with cloud infrastructure, networking, and building low-latency distributed systems. - You can scope and lead projects that span multiple collaborators and cross-functional dependencies. - You take pride in clear thinking, careful design, and thoughtful tradeoffs. - You're comfortable mentoring peers and helping build a collaborative, high-agency environment. - You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs. WHAT WE PROVIDE - The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases. - Competitive salary and stock options so you have a stake in our flock’s success. - Flexible time off – take the time you need to recharge, explore, or just have a lazy day by the pond. - A good pension plan - Legendary company events – we bring the whole flock together once a year for unforgettable team gatherings a year to keep our bonds strong. - Hybrid work environment – Spend three days a week in the office collaborating with the flock, and work from wherever you’re most productive the rest of the time—whether that’s your home office, a coffee shop, or a peaceful lakeside retreat. We have to warn you though, most of us like the office so much we come anyway. It’s on the river Ij, with a great lunch every day. PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next. Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built. This role is ideally based in New York City but also open to great candidates remotely on the East Coast. Key Responsibilities: - Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud. - Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances. - Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end. - Push the state of the art in embedded database performance, distributed execution, and DuckDB internals. - Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation. - Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most. - Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems. - Mentor teammates and help raise the bar for engineering practices across the team. - Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next. WHAT YOU BRING - You've built and shipped complex backend systems, and you know what great looks like. - You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.) - A good foundation in query engines, execution plans, indexing, and performance optimization techniques. - Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at. - You've worked with cloud infrastructure, networking, and building low-latency distributed systems. - You can scope and lead projects that span multiple collaborators and cross-functional dependencies. - You take pride in clear thinking, careful design, and thoughtful tradeoffs. - You're comfortable mentoring peers and helping build a collaborative, high-agency environment. - You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs. WHAT WE PROVIDE - The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases. - Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success. - Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 80% coverage for dependents (because we care about your whole nest). - Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond. - 401k plan – because even ducks need to plan for the future. - Legendary company events – we bring the flock together twice a year for unforgettable team gatherings a year to keep our bonds strong. - Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Title: Staff Database Reliability Engineer Reports to: Engineering Manager Location: Remote US Compensation Range: $215,000 to $245,000 base plus bonus and equity What You’ll Do: Huntress is growing our SRE Engineering team and is looking for an experienced engineer who is passionate about stability, resilience, and scalability. You’ll be joining a high-performing team responsible for proactively building, monitoring, and implementing the databases that are a core part of the Huntress Security Platform and supporting our millions of installed endpoint agents. Responsibilities: Continuously review and fine-tune critical PostgreSQL configuration parameters (e.g., shared_buffers, work_mem, autovacuum settings) to maximize resource utilization and match the current workload profile. Forecast future resource needs based on application growth and agent usage trends, and propose scaling solutions. Design, implement, and manage comprehensive monitoring dashboards and alerting systems to track key performance indicators (KPIs) like latency, throughput, connection count, and cache hit ratio. Design, implement, and maintain optimal indexing strategies to support application requirements, and systematically identify and remove redundant or underutilized indexes that degrade write performance. Implement and manage advanced scaling techniques such as database partitioning for large tables and, where necessary, coordinate efforts for database sharding. Partner with SRE team to optimize PostgreSQL deployments in AWS/Azure, ensuring efficient use of cloud-specific storage and networking. Provide technical guidance to application teams on their query/schema/index designs. What You Bring To The Team: 5+ years experience with scaling, configuration, maintenance and management of PostgreSQL clusters in production environments. Expertise in designing, implementing, and supporting replication (e.g., streaming replication, logical replication), failover mechanisms, and robust backup/recovery strategies Deep understanding of PostgreSQL's core architecture, including the WAL, transaction management, locking mechanisms, and the role of background processes like autovacuum. Extensive hands-on experience managing and maintaining large-scale (Terabyte-level or high-transaction volume) PostgreSQL databases in a live, 24/7 production environment. Experience with observability tools like DataDog, NewRelic, etc. (any tooling is fine) Deep experience of tuning critical performance parameters Bonus points if you have : Understanding of NoSQL data models (e.g., document schemas for MongoDB, key-value structures for Redis, or column families for Cassandra) to optimize for specific access patterns Understanding of when to use an RDB and when not to Experience with IaC (infrastructure as code) What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Remote, Any, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Fivetran Fivetran is the global leader in automated data movement, helping organizations centralize data from hundreds of sources into the destinations that power their analytics and AI. Our Databases product area is core to that mission: we build the connectors and underlying engine that reliably, securely, and efficiently move data out of the systems enterprises run their business on, and into the modern destinations they analyze it in. About the Role Fivetran's Databases portfolio spans source connectors for the OLTP and legacy systems enterprises depend on — Oracle, SQL Server, MySQL, PostgreSQL, DB2, SAP, and more — as well as the destination connectors (Snowflake, BigQuery, Databricks, Redshift, and others) that land that data for analytics and AI use cases. Underneath both sides sits a shared core data processing engine that captures, transforms, and loads data reliably at scale across Fivetran’s 700+ connectors. We're hiring a Product Manager to help define what's next for the portfolio. This is a technically-oriented, high-leverage role for someone who wants to own roadmap decisions that sit close to the metal — replication mechanics, schema handling, CDC — while still being fluent in the business case (ARR, customer focus, competitive dynamics) that justifies the investment. You'll partner closely with the engineering teams building and improving connectors, work with the sales and marketing teams to launch new features and drive adoption, and with company leadership to influence product strategy. What You'll Do Identify and prioritize the highest-impact opportunities for new Fivetran database source connectors and destination connectors, grounded in customer demand, competitive gaps, and revenue potential. Partner with engineering leadership on platform features to shape the roadmap for how data is captured, transformed, and loaded reliably at scale across every connector that depends on it. Write and evangelize clear PRDs that translate customer and market signals into specs engineering can build against with minimal back-and-forth. Own roadmaps end-to-end: discovery, prioritization, spec, build partnership, launch, and post-launch iteration. Deeply analyze market and customer behavioral data to drive evidence-based product investments. Engage directly with customers, prospects, and field teams (Sales, Solutions Engineering, Support) to validate problems and de-risk investments before committing engineering resources. Represent the Databases product area in cross-functional planning. What We're Looking For 5+ years of product management experience with significant exposure to data infrastructure, databases, ETL/ELT systems Comfort operating at technical depth (schema design, replication mechanics, CDC, data types) and business altitude (ARR, TAM, competitive positioning) in the same day. A track record of owning outcomes for complex, engineering-heavy roadmaps Strong written and verbal communication skills: PRDs, feature briefs, and roadmap narratives that engineering and executives can act on without additional translation. Bonus: direct experience with database internals, log-based CDC, or building/operating a data replication or processing engine. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $243,936 — $304,920 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Amman, Jordan We are looking for a Marketing Database & Research Coordinator who will manage, maintain, and enrich our marketing database, ensuring data accuracy, consistency, effective segmentation, and campaign targeting. The role also involves conducting regional market research, identifying relevant industry events, assessing market opportunities, tracking trends, and monitoring developments across different markets. Responsibilities Database Management Define and enforce data standards across the database, including naming conventions, field formats, job title and industry classifications, country and city values, and phone and email formats. Standardize incoming records so every entry follows the same structure, whatever its source. Find and merge duplicate records, and resolve conflicting information between entries. Maintain data entry guidelines and ensure consistency. Acquiring New Contacts Find and add new contacts and accounts that match the company's target profiles by industry, company size, seniority, and region. Source contacts through company websites, industry directories, association member lists, event attendee and exhibitor lists, and enrichment platforms. Capture and process leads from events, webinars, campaigns, and inbound channels, and validate them before they enter the marketing database. Build targeted contact lists by region and segment to support campaigns and sales outreach. Track contact acquisition against targets for each region. Keeping Data Up to Date Verify and refresh existing records on a regular schedule, updating job changes, company changes, new decision-makers, and contact details. Detect and fix outdated, bounced, or invalid contacts, and archive records that are no longer relevant. Enrich incomplete records with missing fields such as title, department, company size, and location. Run periodic data health audits and report on completeness, accuracy, and freshness. Monitor news and announcements such as mergers, acquisitions, leadership changes, and closures, and reflect them in the database. Regional Events Research Research and maintain a regional calendar of relevant industry events, including conferences, exhibitions, trade shows, summits, and networking forums. Evaluate each event's relevance using audience profile, attendee seniority, exhibitors, sponsors, past attendance, and cost. Recommend events to attend, sponsor, or exhibit at, with a short rationale for each. Collect speaker, exhibitor, and attendee information from events to feed new contacts into the database. Monitoring Regional Developments Continuously monitor developments in each region that could affect the business, including regulatory changes, government initiatives, economic conditions, major projects, tenders, and industry shifts. Set up news alerts and tracking sources for each region. Flag significant developments to relevant stakeholders promptly, with a short assessment of likely impact. Requirements A bachelor's degree in Business, Marketing, Economics, Information Systems, or a related field. 1-2 years of experience in database management, lead research, or market research. Advanced Excel skills, including lookups, pivot tables, data validation, conditional formatting, and Power Query. Hands-on CRM experience including imports, deduplication, and data maintenance. Proficiency with contact sourcing and enrichment tools. Experience with market research sources, industry reports, and government and trade publications. Experience with a reporting or BI tool is a plus. Exceptional attention to detail and a disciplined approach to data consistency. Strong research skills and the ability to judge whether a source is reliable. Strong organization and the ability to manage recurring tasks across several regions. Awareness of data privacy regulations such as GDPR and local data protection laws. Professional fluency in English.

You will own the reliability, performance, and cost efficiency of the PostgreSQL data platform behind our flagship CMS — primarily Amazon Aurora PostgreSQL — along with the infrastructure and automation around it. This is a reliability engineering role,.

Location: Brussels, Belgium We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines. Requirements University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT; Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects; Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices; Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset; Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel; Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads; Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset; Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing; Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning; Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark; Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Brussels, Belgium We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines. Requirements University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT; Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects; Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices; Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset; Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel; Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads; Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset; Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing; Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning; Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark; Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Remote - US - UT MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. The Opportunity MariaDB Cloud is a fully managed database platform running on Kubernetes across AWS and Google Cloud. We are expanding into U.S. government cloud regions, and we're looking for a Site Reliability Engineer in the United States to help us build, deploy, and operate this new environment. You won't be starting from a blank page. Our global platform engineering team designs, builds, and validates infrastructure and automation in fully representative staging environments. Your role is to bring that work into our U.S. government cloud environments, own its production reliability, and be the engineering voice on the ground, feeding operational reality back into the platform's design. Responsibilities Deploy and operate Kubernetes-based infrastructure in AWS GovCloud (US) and Google Cloud, using Terraform/Terragrunt and GitOps pipelines developed jointly with our global SRE team. Own production reliability for the U.S. government cloud environment: monitoring, alerting, capacity, incident response, and post-incident improvement. Run and maintain the platform's supporting services - observability (Prometheus, Grafana), logging, secrets management, messaging, and CI/CD tooling — on top of Kubernetes. Participate in the implementation of security hardening and compliance requirements for federal environments (e.g., FedRAMP), working alongside our security and compliance teams. Improve automation relentlessly: if a task needs to be done twice, you'll turn it into code. Take part in an on-call rotation for the environments you operate. Qualifications 10+ years of SRE, DevOps, or infrastructure engineering experience, including operating production Kubernetes. Strong Infrastructure-as-Code skills (Terraform; Terragrunt a plus) and experience with GitOps-driven deployment workflows. Solid Linux, networking, and TLS fundamentals. Experience with observability tooling (Prometheus, Grafana, or similar) and log pipelines. Scripting or programming proficiency (Go, Python, or Bash). Clear written communication - runbooks, incident reports, and change documentation matter in this environment. Eligibility: This position requires U.S. citizenship and residency in the United States due to federal government cloud access requirements (AWS GovCloud). Bonus Experience and Skills You'll be the founding U.S. engineer for a new environment — high ownership and visibility, with the backing of an experienced global team rather than a solo burden. Everything is built as code and validated before it reaches you; your job is production excellence, not firefighting someone's snowflake infrastructure. Direct influence on how a managed database platform meets federal requirements — a skill set in growing demand. Location US Remote - Prefer Salt Lake City, Utah  - Hybrid Role What’s in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. This is a permanent salaried full-time employee role (Not a contract or freelance position). You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. Compensation The annual anticipated U.S. base salary range for this full-time position is USD $150,000.00 -$205,000.00. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than the job description as posted. Salary is one component of MariaDB’s total rewards package, additional benefits include health insurance, life, and disability insurance, funds toward professional development resources, Flexible Paid Time Off (FPTO), 401(k), paid holidays, and parental leave, just to name a few! Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Strong SQL, performance tuning, indexing, partitioning ⚡. 6–7+ years with relational databases.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, 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 position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. 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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $167,143 - $200,572. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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 .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, 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 position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. 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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $170,247 - $204,297. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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 .

Задачи: — Организация, очистка и поддержание в порядке Excel-таблиц и баз данных — Выявление дублирующихся записей, проблем с форматированием и несоответствий данных — Подготовка, проверка и валидация информации для загрузки в CRM — Помощь с картографированием территорий, зонами поездок и организацией географических данных — Анализ рейтингов советников, информации по территориям и других операционных данных — Генерация отчетов CRM и поддержание точных записей — Отслеживание проектов, сроков и назначенных задач — Поддержание точной документации, связанной с выставлением счетов — Защита конфиденциальной информации и обеспечение целостности данных — Изучение новых систем и поддержка дополнительных проектов с базами данных по мере необходимости Требования: — Внимательность к деталям и стремление к точности — Опыт работы с Microsoft Excel и организацией данных — Готовность изучать новое программное обеспечение и работать с несколькими приложениями — Сильные организационные и аналитические навыки — Способность самостоятельно управлять заданиями с коммуникацией о прогрессе и вопросах — Надежность, профессионализм и умение управлять временем — Опыт работы с Microsoft Office, Google Docs/Sheets и Outlook — Среднее образование или GED и минимум один год соответствующего опыта или обучения; предпочтительно два и более года — Опыт работы с CRM-системами, поддержкой баз данных или анализом данных приветствуется, но знание конкретных систем не обязательно Условия: — Полностью удаленная, частичная занятость — Оплата от $20 до $23 в час в зависимости от опыта и местоположения — Обучение предоставляется — Работа под руководством директора по базам данных и IT — Требуется надежное интернет-соединение, тихое рабочее место дома и совместимый компьютер с Windows — Прием на работу возможен только в определенных штатах США: AL, AZ, FL, GA, ID, KY, LA, MI, MO, NC, OH, OR, SC, TN, TX, UT, WY — Продолжение работы после переезда зависит от нового местоположения и не гарантируется

В обязанности входит контроль за запросами MongoDB, индексами и общей производительностью базы данных, а также анализ и оптимизация запросов и стратегий индексирования для повышения эффективности системы. Требуется кандидат с опытом работы в роли разработчика баз данных не менее трех лет и глубокими знаниями MongoDB, включая администрирование, настройку репликации и оптимизацию производительности.

Location: Riyadh, Saudi Arabia We are looking for an experienced ServiceNow Technical Architect with strong hands-on experience in database migration projects , specifically involving Oracle databases . The ideal candidate should have personally participated in or led an end-to-end Oracle database migration , preferably involving migration from Oracle to another database platform, including RaptorDB / self-hosted database environments . Key Responsibilities Lead the technical architecture and execution of Oracle database migration projects . Design migration strategies, architecture, data mapping, transformation, validation, and reconciliation. Assess existing Oracle database environments, schemas, tables, dependencies, and data structures. Plan and execute migration activities from Oracle to RaptorDB or other target databases . Ensure data integrity, completeness, performance, and security throughout the migration. Coordinate with ServiceNow, database, infrastructure, application, and integration teams. Troubleshoot migration issues and develop solutions for data compatibility and performance challenges. Manage migration testing, validation, cutover, and post-migration support. Prepare technical documentation, migration plans, architecture diagrams, and rollback strategies. Requirements Required Experience 8+ years of IT experience , with strong experience as a ServiceNow Technical Architect / Senior Technical Consultant . Strong ServiceNow technical architecture and integration experience. Proven hands-on experience with Oracle database migration projects. Must have worked on at least one end-to-end Oracle migration project , not just Oracle administration or support. Experience with database-to-database migration , preferably Oracle → RaptorDB / self-hosted database . Strong knowledge of Oracle databases, SQL, schemas, data structures, dependencies, and migration challenges. Experience with data migration, ETL/data transformation, validation, reconciliation, and performance optimization. Experience working with APIs, integrations, middleware, and ServiceNow data/integration architecture. Strong troubleshooting and technical problem-solving skills. Excellent communication and stakeholder-management skills.

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. Relocation allowance + bonus for European and UK Candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Remote Opportunity for US and Canadian citizens. Relocation allowance + bonus for European and UK Candidates. About the Role We are seeking an experienced Satellite Database Systems Engineer to support the development, integration, and maintenance of satellite mission databases for advanced LEO and MEO communication systems. In this role, you will work closely with flight software, mission operations, and systems engineering teams to ensure the accuracy, reliability, and integrity of satellite telemetry and command databases. The ideal candidate has extensive experience with satellite database systems, mission control environments, and flight operations for commercial or government space programs. Key Responsibilities Design, develop, and maintain satellite telemetry and command databases for mission operations. Support the integration of satellite databases with mission control systems and flight software. Develop and manage MIB (Management Information Base) telemetry and command databases. Validate database configurations to ensure accuracy and operational readiness. Collaborate with systems engineering, flight software, and mission operations teams throughout the project lifecycle. Support database testing, troubleshooting, and performance optimization. Maintain technical documentation, database configurations, and operational procedures. Contribute to the successful deployment and operation of LEO/MEO satellite communication missions. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Aerospace Engineering , or a related technical field. 10+ years of relevant experience. Experience working with MIB telemetry and command databases for satellite mission operations. Familiarity with satellite telemetry ground systems, mission control software, and flight software integration. Experience supporting Satellite Database development for LEO and/or MEO communication constellations . Strong understanding of satellite mission operations, telemetry processing, and command database management. Preferred Qualifications Experience supporting commercial or government satellite mission operations. Experience with satellite ground systems integration and mission control platforms. Familiarity with systems engineering processes for space missions. Strong analytical, troubleshooting, and cross-functional collaboration skills.

Задачи: — Отвечать за надёжность, производительность и масштабирование production PostgreSQL-кластеров в 24/7 среде — Влиять на архитектуру и развитие database-инфраструктуры — Заниматься reliability engineering, performance tuning и автоматизацией Требования: — 5+ лет hands-on опыта с PostgreSQL в production — Глубокое понимание PostgreSQL: WAL, VACUUM/autovacuum, locking, memory management — Опыт performance tuning: execution plans, индексы, оптимизация запросов, partitioning — Опыт HA/DR: replication, failover, backup/recovery, Patroni или аналоги — Опыт работы с Linux + Python для автоматизации — Опыт работы с high-load / highly available 24/7 системами — Английский Upper-Intermediate+