Software Engineer - Engineering Productivity
Core
Building automated safety nets, internal processes, and quality telemetry to increase deployment velocity and drive code-related incidents to zero for a primary care AI tool.
Role type
Senior Individual Contributor Developer Reliability Engineer (Engineering Productivity)
Builds
Automated CI/CD pipeline gates, load testing frameworks, synthetic data injection systems, and AI-supported automation stacks.
Domain
Healthcare technology / Cloud infrastructure / DevOps
Deliverable
infrastructure
Required skills
Backend systems engineering, distributed systems architecture, Infrastructure as Code (IaC), public cloud platforms (GCP/AWS), Generative AI tooling and validation, performance engineering, quality metrics definition (DORA, SLOs)
Preferred skills
Product-oriented mindset, cross-functional stakeholder management, AI agent integration strategies
Technologies
Python, Go, GCP, AWS, CI/CD pipelines, Synthetic data, Generative AI assistants (Gemini, Claude, Cursor, Codex)
Responsibilities
Design and champion internal Quality Programmes; Define and enforce hard metrics (DORA, SLIs/SLOs); Architect Shift-Left Pipeline Gates; Build Real-World Load Testing; Engineer Synthetic Data & Production Canaries; Leverage Generative AI Tooling; Drive Tooling Consolidation
Seniority
Senior, hands-on IC
