Senior Platform Engineer, Delivery & Reliability

Key Responsibilities

• Own the Delivery Platform as an Internal Product
• Treat the delivery and reliability platform as a product used by software, hardware, QA, application engineering, support, and AI-assisted workflows.
• Define the roadmap, standards, paved roads, and platform patterns that reduce engineering friction, release risk, and operational failure.
• Design the Trusted Path from Code to Customer
• Own the workflows that move changes from source control through build, test, artifact generation, signing, packaging, release approval, deployment, installation, update, and monitoring.
• Ensure delivery paths are automated, traceable, reproducible, governed, and easier to use than risky manual alternatives.
• Improve Release Readiness and Quality Signals
• Partner with engineering and QA to define what must be true before software is considered releasable.
• Build release gates, dashboards, and validation workflows that provide evidence of build health, test results, artifact readiness, release risk, installer/update quality, and deployment status.
• Govern AI-Assisted Delivery Safely
• Establish guardrails for AI-generated code, tests, scripts, workflow changes, documentation, release preparation, and autonomous delivery agents.
• Define the approval, audit, rollback, policy-as-code, and human-in-the-loop controls required for AI to accelerate delivery without increasing downstream risk.
• Connect Delivery to Reliability
• Connect build, test, release, deployment, observability, and incident response into one feedback loop.
• Use operational signals, incidents, health checks, alerts, SLOs, error budgets, and post-incident findings to improve release gates, recovery paths, automation, and system reliability.
• Enable Hardware/Software Delivery at Scale
• Build delivery automation that supports software, firmware, hardware builds, device updates, installers, test rigs, and field-deployed systems.
• Reduce fragile handoffs between software, hardware, QA, application engineering, and field support so what is built, tested, packaged, shipped, and installed is correct and supportable.

Core Outcomes

• Faster Flow from Code to Validated Release
• Higher Release Confidence
• Safer Human and AI-Assisted Engineering
• Reliable Hardware/Software Handoffs
• Better Operational Reliability
• Greater Developer Productivity

Required Qualifications

• 5+ years of professional experience in platform engineering, software engineering, DevOps, release engineering, SRE, infrastructure automation, build engineering, or related roles.
• Strong experience designing and operating CI/CD systems, preferably using GitHub Actions.
• Experience building or maintaining delivery automation across build, test, artifact generation, packaging, release, deployment, or installation workflows.
• Strong scripting or programming experience with tools such as PowerShell, Bash, Python, C#, JavaScript/TypeScript, or similar.
• Experience with source control workflows, pull requests, branch protection, repository standards, and release controls.
• Experience improving developer productivity through reusable workflows, templates, automation, documentation, or self-service tooling.
• Understanding of automated testing and how quality signals fit into release pipelines.
• Familiarity with observability, monitoring, alerting, incident response, and operational reliability practices.
• Ability to work across engineering, QA, hardware, application, support, and product teams.
• Strong written communication skills for standards, runbooks, technical proposals, and platform documentation.

Preferred Qualifications

• Experience with hardware/software products, embedded systems, firmware, device updates, installers, or field-deployed software.
• Experience with Windows application build and installer workflows.
• Experience with code signing, certificates, secure release processes, and software supply chain controls.
• Experience with cloud platforms such as Azure, AWS, or similar.
• Experience with infrastructure as code, containerization, virtual machines, or test environment automation.
• Experience with artifact repositories, package registries, release manifests, update servers, or deployment metadata.
• Experience defining or operating SLIs, SLOs, error budgets, incident response processes, or post-incident reviews.
• Experience creating internal developer platforms, golden paths, paved roads, or platform-as-a-product practices.
• Experience integrating AI-assisted development, test generation, workflow automation, or developer productivity tooling into the SDLC.