Staff Frontend Engineer - Grafana DataViz

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Frontend Engineer - Grafana DataViz based in the United States.

This is a senior technical leadership role focused on building and evolving data visualization experiences for a widely used observability platform. You’ll work within the DataViz squad to make complex data easier to explore, understand, and act on. The role combines hands-on engineering with mentorship, architectural thinking, and cross-team collaboration. You’ll lead multi-quarter initiatives from problem discovery through rollout while keeping user feedback and measurable outcomes at the center. The environment is fully remote and globally distributed, with a strong emphasis on autonomy, transparency, open source, and asynchronous collaboration. You’ll also have access to modern AI-assisted development tools to accelerate prototyping, testing, refactoring, documentation, and engineering workflows.

• Lead multi-quarter technical initiatives from problem framing and solution design through implementation, rollout, and measurement.
• Gather and incorporate user feedback to validate product decisions and assess the impact of delivered solutions.
• Design, build, and evolve high-quality frontend data visualization experiences.
• Contribute to the development of visualization capabilities that make complex datasets easier to configure, explore, and understand.
• Work primarily with TypeScript, React, uPlot, and Apache ECharts to deliver production-grade visualization functionality.
• Help evolve and modernize existing visualization experiences, including tables, gauges, and other visualization components.
• Drive improvements to software quality, reliability, testing strategies, and visual regression coverage.
• Help reduce technical dependencies and improve the ability to release core visualization functionality independently.
• Mentor engineers through code reviews, design discussions, pairing sessions, and guidance on complex technical challenges.
• Raise engineering standards through thoughtful technical design, maintainable code, documentation, and knowledge sharing.
• Participate in on-call responsibilities for the software and services you help build.
• Contribute to incident response, troubleshooting, and post-incident learning to improve system reliability.
• Provide technical support during customer escalations and help identify recurring areas of friction.
• Represent the DataViz squad in cross-team discussions and communicate technical priorities and roadmap considerations.
• Write technical design proposals, lead demonstrations, and help align stakeholders around engineering initiatives.
• Collaborate with other frontend squads and engineering teams to solve complex technical problems and drive innovation.
• Use AI-assisted development tools pragmatically for prototyping, test generation, refactoring, documentation, and incident follow-ups while maintaining strong engineering and review standards.
• Contribute to the open-source community and help strengthen collaboration with users and contributors.

Requirements:

• Demonstrated experience providing technical leadership on complex software engineering initiatives.
• Strong experience mentoring engineers and serving as a technical force multiplier within an engineering team.
• Ability to communicate clearly and collaborate effectively in fully remote and asynchronous environments.
• Strong frontend engineering experience with modern production software systems.
• Professional experience with TypeScript and React.
• Experience working with data visualization technologies, visualization libraries, or complex frontend interfaces.
• Familiarity with technologies such as uPlot, Apache ECharts, or comparable visualization frameworks is valuable.
• Experience taking ownership of software in production, including participating in on-call rotations and responding to incidents.
• Strong understanding of software reliability, testing, quality practices, and production support.
• Ability to break complex engineering challenges into manageable feedback loops, deliver practical solutions, and iterate based on results.
• Strong problem-solving skills and the ability to work independently with minimal supervision.
• A user-focused and pragmatic approach to engineering, with an emphasis on delivering solutions that work effectively in real-world environments.
• Familiarity with AI technologies and development frameworks, combined with a practical approach to applying AI in production engineering workflows.
• Intellectual curiosity, transparency, initiative, and a strong collaborative mindset.
• Interest in open-source software and willingness to engage with users and contributors.
• Experience with observability concepts such as metrics, logs, and traces is a plus.
• Familiarity with Grafana, Prometheus, Loki, Tempo, or other observability platforms is a plus.
• Previous experience using Grafana or related observability tools in an on-call role or personal homelab is a plus.
• Open-source contributions or project maintainership experience is a plus.
• Experience working within a fully remote, globally distributed engineering organization is a plus.

Benefits:

• Remote position for candidates in the United States and Canada, with a preference for EST/CST time zones.
• Canada compensation range of CAD $186,368–$223,642, with actual compensation varying according to level, experience, and skills.
• Restricted Stock Units (RSUs) included with all roles, providing team members with ownership in the organization’s success.
• 100% remote working environment with a globally distributed team across 40+ countries.
• High-autonomy environment built around transparency, trust, collaboration, and meaningful work.
• Career development opportunities within a scaling, innovation-focused organization.
• Access to modern AI coding assistants and a company-funded usage budget for development workflows.
• Access to advanced AI models and tools to support engineering productivity.
• Global annual leave policy of 30 days per year, including 3 designated shutdown days, subject to local legislation.
• In-person onboarding designed to help new team members build relationships and understand the organization’s culture and ways of working.
• Opportunities to work on open-source projects and collaborate with a global community of users and contributors.
• Supportive, low-ego culture emphasizing outcomes, shared purpose, and professional growth.
• Transparent communication, including open decision-making and regular organizational updates.
• Benefits and compensation are country-specific and may vary depending on the candidate’s location and applicable local policies.