Release/Software Engineering Lead, Salesforce

• 8+ years in software engineering, with deep experience in release engineering, build systems, CI/CD, or developer tooling at scale
• Strong coding ability in Java (or a comparable JVM/strongly-typed language) and experience with build tooling such as Gradle/Maven/Bazel
• Hands-on expertise with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, or similar) and pipeline-as-code
• Practical experience applying AI/LLM tooling to engineering workflows - coding assistants, automated review, agentic tooling, or LLM-backed automation
• A track record of leading technical initiatives and mentoring engineers without formal authority
• Experience defining process and measuring outcomes: you turn adoption goals into instrumented, data-driven results
• A bias toward automation, reliability, and measurable impact
• Building or evaluating LLM-based developer tools (prompt engineering, eval harnesses, agent frameworks, MCP)
• Cloud infrastructure and containerization (AWS/GCP, Docker, Kubernetes)
• Observability and metrics tooling for build/deploy health and developer productivity (e.g., Splunk, Grafana, ELK stack)
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably
• Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
• A related technical degree required

Desirable

• Commerce Cloud Engineering is transforming how we build and ship software by putting AI at the center of the developer workflow. We're hiring a Lead Software/Release Engineer to build the tooling, automation, and release infrastructure that make AI a first-class part of how our engineers code, review, test, and deploy
• This is a hands-on lead role. You'll write production code, set technical direction, and own the systems that move AI-native development from experiment to everyday practice across a large engineering org. Your impact is measured by how much faster, safer, and smarter the engineers around you ship
• Build and operate tooling that integrates AI/LLM capabilities into the software delivery lifecycle - code generation, automated review, test authoring, and release automation
• Design and automate CI/CD systems that incorporate AI-driven quality gates, anomaly detection, and release-risk analysis
• Own release pipelines for a large-scale enterprise platform: build, test orchestration, artifact management, deployment, and rollback
• Define the processes and guardrails for safe, effective AI adoption across engineering teams - from prompt and tooling standards to evaluation and rollout
• Instrument the developer workflow and measure AI-adoption impact with data: cycle time, quality, throughput, and developer experience
• Write and review production-grade code (Java, plus pipeline/scripting languages) that other engineers depend on daily
• Set technical direction and standards; mentor engineers and lead through influence
• Partner with platform, QE, and product teams to remove friction and accelerate AI-native delivery