Senior Fullstack Engineer - Grafana Data Source Plugins | NASA | (Remote, Canada)
Grafana Labs is hiring a Senior Fullstack Engineer - Grafana Data Source Plugins | NASA | (Remote, Canada) for a remote role open to applicants in Canada. It pays $164k-$197k a year and Level rates it ; you can apply on Level.
AI in this role
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're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role.
Senior Full-Stack Software Engineer, Grafana Data Source Plugins
The Opportunity:
As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide.
Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools.
What You’ll Be Doing:
- Some data source plugins we own:
- Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse. The full catalog is listed here.
- A typical “day in the life” could include:
- Building or improving Grafana plugins to integrate third party services or databases into Grafana
- Supporting the operations and reliability of our plugins in Grafana Cloud
- Coming up with suggestions for process improvements
- Integrating data sources with agentic workflows such as Grafana Assistant
- Providing technical support in customer escalations
- Working closely with the rest of the Grafana Division
What Makes You a Great Fit:
- You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects.
- You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward.
- You are a motivated self starter with a bias towards action, and willing to take on any challenge
- You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs.
- You are an excellent communicator and you enjoy collaboration
- You are comfortable working in a remote-first company
Requirements:
- Solid experience with Golang & Typescript
- Experience with Kubernetes & microservices
- Experience writing clean, robust, and performant software that is easily maintained by others
- Experience participating in an on-call rotation and performing operations/SRE tasks
Bonus Points For:
- You have been a user of Grafana and Grafana Data Sources
- You have expertise in one of the underlying databases we support
- You have strong experience working with a Product Manager or external stakeholders
In the United States, the Base compensation range for this role is CAD $164,490 - $197,389. 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.How we rate this
Senior Fullstack Engineer - Grafana Data Source Plugins | NASA | (Remote, Canada) at Grafana Labs rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $164k
- Typical software engineer job
- $168k
This posting starts close to the typical software engineer job. See software engineer jobs
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- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Anthropic in your day-to-day work.
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- List these exact terms on your resume: AI agents and Anthropic. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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