Software Development Manager
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- Build the team operating system + disciplined full-lifecycle software delivery
- Drive scalable architecture + predictable, low-risk delivery across dependencies
- Own live-site reliability and scale an AI-native software development organization
Benchmark: Amazon ASBX / Aurora DSQL SDM + Google Core + Apple ASE Commerce (current Sep 2026) Market refresh: full-lifecycle service ownership, hiring/coaching, architecture and design review, code/test/release quality, delivery commitments, live-site/SLOs, product partnership and governed AI/agentic developer workflows.
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Build the team operating system + disciplined full-lifecycle software delivery
Engineering leadership, expectations + team effectiveness
Coverage: People Management / Coaching & Feedback / Engineering Leadership
SDLC quality, code review + automated testing
Coverage: Software Engineering Foundations / Testing & Quality Engineering
Drive scalable architecture + predictable, low-risk delivery across dependencies
Architecture, scalability + distributed-systems tradeoffs
Coverage: Systems Architecture & System Design / Distributed Systems
Release engineering, dependencies + delivery safety
Coverage: Release Engineering / CI-CD / Program Management
Own live-site reliability and scale an AI-native software development organization
SLOs, live-site operations + incident leadership
Coverage: Observability & SRE / Incident Response / Operational Excellence
AI-native SDLC, coding agents + developer productivity
Coverage: AI-Assisted Development / Agentic Workflows / Developer Productivity
Role-Readiness Proof / Capstone
Manage a production software area from roadmap through live-site. Define the team charter, customer/product requirements and quarterly commitments; create a 6-12 month technical roadmap and architecture/ADR package; establish code-review, test, security and CI/CD quality gates; map dependencies and release/rollback plans; instrument delivery metrics plus SLOs; run a failure drill and blameless postmortem; implement one guarded AI/coding-agent workflow for triage, test generation or CI failure analysis; then produce a hiring/coaching plan and senior-leadership review of delivery, reliability, technical debt and investment tradeoffs.
Proof Rubric
- Prove end-to-end SDM ownership: engineers grow and expectations are clear
- architecture scales and tradeoffs are documented
- code/test/release controls protect quality
- commitments and dependencies are managed with evidence
- delivery metrics and SLOs drive decisions
- incidents produce learning
- AI agents operate inside explicit permissions and human-review gates
- and customer impact, reliability, cost and team health are communicated crisply to product and senior leadership