Software Guidance & Assistance, Inc., (SGA), is searching for a
Senior Engineer / Technical Lead for a
contract assignment with one of our premier SaaS clients in San Jose, CA. This is a fully onsite role.
Help us prove - not just assume - that AI makes engineering faster and better.
AI is widely adopted across our engineering teams. Now we're building the systems to measure its real impact on speed, quality, and reliability - with guardrails.
We're hiring a Senior Engineer or Technical Lead to build and scale our AI Developer Productivity program. This role sits at the intersection of engineering, data, developer experience, and AI tooling.
If you care about engineering excellence, measurable impact, and building systems that improve how teams ship software - this role is for you.
Responsibilities: - Build Our AI Productivity Measurement System
- Instrument and track AI tool adoption (Cursor, Claude Code)
- Measure suggestion acceptance and AI-assisted PR trends
- Connect AI usage to real delivery outcomes
- Improve Engineering Flow & Predictability
- Implement DORA metrics (deployment frequency, lead time, change failure rate, recovery time)
- Build GitHub-based insights:
- PR cycle time (p50/p75)
- Review SLAs
- Throughput & WIP aging
- Publish weekly scorecards and identify bottlenecks
- Protect Quality While Increasing Speed
- Enforce coverage standards (target: 80%)
- Monitor E2E health (Playwright pass rate, flakiness, time-to-fix)
- Track rework signals (churn, reverts, hotfixes)
- Ensure velocity gains don't hide reliability regressions
- Build the Data & Automation Layer
- Standardize PR templates and labels (risk, AI usage, rollout plans)
- Automate ingestion from GitHub, CI/CD, and AI tools
- Deliver a unified dashboard (team-level metrics only - no individual ranking)
- Establish privacy-conscious governance standards
- What Success Looks Like Within 6-12 months:
- PR cycle time improves measurably
- Rework and defect rates remain flat or decline
- Reliability metrics do not regress as throughput increases
- AI adoption clearly correlates with delivery improvements
- Engineering leaders rely on your dashboards for decision-making
Required Skills: - 6+ years of software engineering experience (platform or backend preferred)
- Experience with GitHub APIs, CI/CD systems, and engineering analytics
- Familiarity with DORA/Four Keys metrics
- Experience with automated testing frameworks (Playwright preferred)
- Strong systems thinking - able to balance speed, reliability, and sustainability
- Comfortable working across engineering, platform, and leadership stakeholders
Highly Preferred Skills: - Experience with AI developer tools
- Experience building internal analytics or developer platforms
- Background in developer experience (DevEx) or engineering enablement
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
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SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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