Software Engineer | Canada |Remote

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, Capital

G, and Lead Edge Capital. Learn more at  and follow us on Linked In 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.

We're looking for a Staff Integrations Engineer to join our GTM Tools & Technology team — a hybrid role sitting at the intersection of Revenue Operations and internal software engineering. You'll own the architecture and delivery of integrations across our go-to-market stack while building the internal GTM tooling to help us deprecate unnecessary SaaS spend.

This is a builder role. You'll write production Python, design data models, partner closely with Revenue Operations and Finance stakeholders, and act as the technical anchor for a team that moves fast. The right person is as comfortable diagramming a CRM data flow as they are shipping an internal application from scratch. This role sits within the GTM Systems team and you will work closely with the Field Operations team and the System Administrators within GTM Systems.

• Architect and own end-to-end integrations across Salesforce, Snowflake/Big Query, Slack, Grafana, and billing & finance systems
• Define and enforce integration patterns and API standards across the GTM stack
• Lead incident response and root-cause analysis for integration failures; 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

• Design and ship internal applications that replace SaaS point‑solutions — reducing cost, consolidating workflows, and increasing team leverage
• Establish a lightweight internal development practice: code standards, CI/CD, deployment patterns, and documentation norms
• Leverage AI/LLM capabilities (APIs, agentic workflows) to accelerate internal tool development and automate repetitive operations work
• Maintain a clear deprecation roadmap tied to measurable SaaS spend reduction targets

• Set the technical direction for how GTM systems share data — defining canonical data models, source‑of‑truth ownership, and sync strategies
• Conduct design reviews and provide architectural guidance to engineers, Rev Ops analysts, and technical stakeholders
• Identify and remediate technical debt proactively; advocate for engineering rigor in a primarily non‑engineering organization

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…