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Key skills for this role
Define, track, and drive engineering quality SLAs including unit test coverage targets, code review compliance, and PLC (Product Lifecycle) alignment across firmware releases.
Own and communicate release signal health including tracking schedule, cross-team dependencies, identifying regressions early, and maintaining backlog status to provide leadership with accurate, real-time release readiness assessments
Coordinate release activities across multiple firmware and platform teams, aligning incremental work with release achievements to ensure consistency and predictability.
Assess release-readiness status, anticipate risk, and develop mitigation strategies; raise critical blockers and drive resolution across collaborator teams.
Drive Engineering and QA teams on test plans, execution, reviews, failure analysis, and assessment of overall quality and release risk.
Build and maintain quality dashboards surfacing CI/CD pipeline health, coverage trends, review cycle times, defect escape rates, and SLA consistency to enable data-driven engineering decisions.
Identify quality failures, lead retrospective analysis, and drive improvement action plans in partnership with engineering management
Lead and improve software branching strategies including feature, release, and hotfix branches to ensure smooth integration, version control, and timely delivery across repositories
Champion AI tool adoption and enablement throughout Core and Platform teams, finding ways where AI-assisted development, code review, testing, and documentation tools can accelerate engineering velocity
Bachelor’s degree in engineering, Computer Science, or similar field or equivalent experience
10+ years of hands-on experience with software/firmware program or release management in tech or related fields
Thorough knowledge of software engineering and product lifecycle principles including branching strategies, CI/CD pipelines, and quality gating processes
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Demonstrated ability to define and drive quality metrics and SLAs; experience with test coverage, code review processes, and defect tracking
Strong analytical skills with experience building dashboards and using data to drive engineering decisions
Excellent communication and technical presentation skills; ability to synthesize complex status and surface key issues to senior leadership
Enthusiastic and passionate about process improvement with a track record of implementing systematic solutions in dynamic environments
Experience with BMC firmware, server management stacks, or datacenter infrastructure software in the enterprise or cloud space
Hands-on experience evaluating or deploying AI-assisted development tools (e.g., GitHub Copilot, AI code review, AI test generation) at an engineering team level
Familiarity with PLC (Product Lifecycle) processes and multi-functional alignment between hardware and software organizations
Proficiency in scripting languages (Python, Bash) or tooling to automate program management workflows and dashboards
Experience with OSS compliance, vulnerability resolution, or security-focused release validation processes
Computing platform company for AI and accelerated graphics.
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