Grafana Labs

Technology

StaffSoftwareEngineer

$220–350k ~AI est. United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Software Engineer at Grafana Labs. Skills: Systems integration, Internal tooling, Python, Salesforce. Drive improvements to observability. Drive improvements to alerting”

Industry & Context.

Technology
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

8+ years software engineering experience, Expert-level Python, Expert-level Java, Expert-level JavaScript, Deep hands-on Salesforce experience, Experience with at least one cloud data warehouse, Proven track record building internal tooling, Solid grasp of data modeling, Solid grasp of API design, Solid grasp of event-driven architectures, Solid grasp of ETL/ELT patterns, Experience integrating billing systems, Experience integrating finance systems, Experience integrating quote-to-cash systems, Demonstrated ability to work autonomously, Ability to scope own work, Ability to drive work to completion, Communicator who can translate technical tradeoffs

Nice to Have

Frontend frameworks experience, Frontend tooling experience, Vector databases experience, Retrieval pipelines experience, Automating sales workflows experience, Automating customer success workflows experience, Automating marketing workflows experience, Workflow automation platforms experience, Model Context Protocol familiarity, Observability tools for AI systems experience

What You'll Do.

Drive improvements to observability

Drive improvements to alerting

Partner with Revenue Operations

Translate business requirements

Evaluate third-party connectors

Evaluate iPaaS tooling

Rationalize third-party connectors

Rationalize middleware

Rationalize iPaaS tooling

Advocate for engineering rigor

Use modern AI coding assistants

Prototype development

Handle incident follow-ups

How You'll Work.

Team & Collaboration

Non-engineering organization; GTM stakeholders; Finance stakeholders

Communication Scope

Translate technical tradeoffs

Full Job Description

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J. P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we are interested in applicants in Canada time zones only at this time. The Opportunity We're looking for a Staff Integrations Engineer to join our GTM Tools drive improvements to observability and alerting Partner with Revenue Operations to translate business requirements into reliable, scalable technical solutions Evaluate and rationalize third-party connectors, middleware, and iPaaS tooling against build-vs-buy criteria Internal Tooling advocate for engineering rigor in a primarily non-engineering organization We invest heavily in developer produ

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