Staff Software Engineer

📍 Canada

CAD 186,400-223,600 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 4 CI/CD @ 4 Data Modeling @ 7 ELT @ 7 ETL @ 7 Grafana @ 4 LLM @ 4 Leadership @ 4 Marketing @ 4 NetSuite @ 4 Observability @ 4 Python @ 4 React @ 4 Salesforce @ 4 Slack @ 4 Snowflake @ 4 Stripe @ 4 Technical Leadership @ 4 Workato @ 4 iPaaS @ 4

Details

Grafana Labs is the company behind the open observability cloud. We are a 100% remote company with a global team and an open-source legacy. This role is a remote opportunity for applicants in Canada time zones only and sits at the intersection of Revenue Operations and internal software engineering.

Responsibilities

Integrations Engineering

Architect and own end-to-end integrations across Salesforce, Snowflake/BigQuery, 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

Internal Tooling & Platform

Design and ship internal applications that replace SaaS point-solutions to reduce cost and consolidate workflows
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

Architecture & Technical Leadership

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

Requirements

8+ years of software engineering experience, with a strong focus on systems integration and/or internal platform development
Expert-level Python (production-quality code)
Deep hands-on experience with Salesforce (data model, APIs, automation)
Experience with at least one cloud data warehouse: Snowflake or BigQuery
Proven track record building internal tooling that replaced or meaningfully reduced reliance on commercial SaaS products
Strong grasp of data modeling, API design, event-driven architectures, and ETL/ELT patterns
Experience integrating billing, finance, or quote-to-cash systems (e.g., Stripe, NetSuite, Zuora, or similar)
Ability to work autonomously in ambiguous environments and to scope and drive work to completion
Strong communicator who can translate technical tradeoffs for non-technical GTM and finance stakeholders
Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar

Bonus Points

Experience with frontend frameworks & tooling (React, Slack Block Kit) to build user-facing interfaces for AI tools
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
Experience with workflow automation platforms like n8n, Workato, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
Previous experience in open source or developer-focused SaaS companies

Compensation & Rewards

Base compensation range in Canada: CAD 186,368 - CAD 223,642
Roles include Restricted Stock Units (RSUs)
Global annual leave policy: 30 days per annum (with 3 days reserved for Grafana Shutdown Days)

Additional Details

This role is remote (Canada time zones only). In-person onboarding is provided. Grafana Labs provides access to modern AI coding assistants and frontier models as part of developer productivity tooling.