Software Engineer; Developer Productivity
Job in
Vancouver, BC, Canada
Listed on 2026-07-21
Listing for:
Diligent Corporation
Full Time
position Listed on 2026-07-21
Job specializations:
-
Software Development
Software Engineer, DevOps, AI Engineer (Applied/Software), Cloud Engineer - Software
Job Description & How to Apply Below
Staff Software Engineer (Developer Productivity)
Overview
We are hiring a Staff Software Engineer with strong engineering fundamentals, hands-on experience building AI solutions, developer tooling, and automation to make AI a practical, measurable part of how teams build and ship software.
What You'll Do
- Design and build internal tools, automations, and integrations that remove friction from daily engineering work.
- Own and improve core developer workflows: local development environments, code review, testing, CI/CD, and release processes.
- Instrument developer tool chains to measure cycle time, build reliability, deployment frequency, and other engineering effectiveness signals.
- Build and maintain shared templates, plugins, CLI tools, and guardrails that make common engineering patterns repeatable and safe.
- Evaluate and integrate new tools, including AI-assisted development tools, based on measurable impact to team velocity and code quality.
- Partner with engineers, leads, and managers to identify bottlenecks and improve how teams collaborate and ship.
- Define best practices for scalable, measurable developer tooling across the SDLC.
What You'll Bring
- 5+ years of software engineering experience, operating at a senior or staff level.
- Hands-on experience building AI solutions such as agents, LLM-powered workflows, or similar, beyond isolated prototypes.
- Experience building internal developer tools, workflow automation, or platform capabilities used by multiple teams.
- A track record of operationalizing AI tools across an engineering org.
- Strong grasp of developer productivity, SDLC workflows, and engineering enablement.
- Experience with telemetry, instrumentation, or analytics for workflow behavior and adoption.
- Strong hands-on scripting and automation skills.
- Experience with CI/CD, cloud infrastructure, and modern engineering tool chains.
Nice to Have
- Hands-on experience with Claude Code, Cursor, or similar AI coding tools.
- Experience building CLIs, developer portals, reusable templates, or self-service platforms.
- Observability tooling (Datadog, Sentry, Prometheus, Grafana, Kibana, or New Relic).
- Kubernetes, AWS, Terraform, and microservice-based systems.
- Must be based in Vancouver
Compensation
$131,000 - $164,000 CAD
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