Software Development Engineer in Test

What You'll Do

• Implement strategies that improve release integrity — from automation in CI/CD pipelines to validation processes that increase confidence in deployments.
• Validate spatial algorithms, data accuracy, and system performance within our mapping platform.
• Instrument quality health metrics and dashboards that give teams clear visibility into product stability, release readiness, and test effectiveness.
• Drive internal tooling initiatives that improve the developer experience and enable teams to test, measure, and ship with higher confidence.
• Partner across engineering, infrastructure, and product to identify opportunities for system-level quality improvements and advocate for automation-first approaches.
• Use data and experimentation to continuously refine our approach to quality and ensure we’re focusing on the most impactful areas.
• Work with fellow engineers to develop first class quality measures that align with overall quality strategy, with a focus on monitoring and observability.

Requirements

• Understanding of modern quality engineering best practices, with the judgment to know when to apply or adapt them pragmatically.
• Strong technical foundation in release management, automation frameworks, and CI/CD systems, with experience improving release reliability through data-driven quality initiatives.
• 2+ years of experience building and maintaining test automation at multiple layers (integration, end-to-end) for complex applications, using modern languages such as C++/C#, GD Script, or Python.
• Proven experience using shift-left quality practices that improve code quality, deployment confidence, and developer velocity.
• Hands-on experience with performance, resilience, and security testing, including integration of those checks into CI/CD pipelines and observability systems.
• Experience building internal tools or developer utilities that enhance testability, observability, and overall release integrity.
• Algorithmic Validation: Testing route optimization, geofencing, spatial clustering, and topology rules to ensure accuracy in applications like navigation or logistics.
• Strong understanding of API quality, including contract validation and dependency testing in distributed systems.
• Demonstrated ability to produce quality, ownership and best practices across teams.
• Solid collaboration and communication skills, with the ability to promote a culture of quality and continuous improvement.

Nice to Haves

• Experience maintaining or building declarative CI/CD pipelines (e.g., Azure Pipelines, GitHub Actions).
• Familiarity with visual regression testing, performance tooling (k6, JMeter, Artillery), or distributed system fault injection.
• Containerization and orchestration experience (Docker, Kubernetes).
• Familiarity with observability stacks like Grafana, Kibana, or Prometheus.