> Markdown version of [/jobs/ext/1842182-lead-release-software-engineering](https://www.wearedevelopers.com/jobs/ext/1842182-lead-release-software-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Release/Software Engineering - **Company:** Salesforce Inc. - **Location:** Burlington, MA, United States - **Experience:** Expert - **Salary:** $172,500.0 - $260,100.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Application Release Automation, Cloud Computing, Code Generation, Continuous Integration, DevOps, Programming Tools, Github, Gradle, Java Virtual Machine (JVM), Apache Maven, Open Source Technology, Systems Development Life Cycle, Salesforce.Com, Software Engineering, Scripting, Google Cloud, Delivery Pipeline, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Containerization, Gitlab-ci, Kubernetes, Production Code, Data Analytics, Build Tools, Splunk, Docker, Elk Stack, Jenkins - **Published:** July 1, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27805081/Lead-Release-Software-Engineering-Massachusetts-Burlington-7447 ## About the Role * 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. Even Better If You Have: * Experience with Salesforce or Commerce Cloud (B2C/ECOM) platforms. * Experience with other cloud providers (like GCP). * Contributions to open-source projects. * Certifications in AWS or related DevOps technologies. ## Description 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. What You'll Actually Be Doing: * 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. ## Related Videos - [ Your Code Is the Sales Team Now](https://www.wearedevelopers.com/videos/100327-your-code-is-the-sales-team-now) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein](https://www.wearedevelopers.com/videos/1855-the-intent-engineer-closing-the-gap-between-business-engineering-manuel-klein) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)