Lead Release/Software Engineering

Posted 5 Days Ago
Be an Early Applicant
Burlington, MA, USA
In-Office
173K-260K Annually
Senior level
Cloud • Software
If you’re ready to build your future — and the future of technology — then you’re in the right place.
The Role
Hands-on lead engineer who builds and operates CI/CD, release pipelines, and developer tooling that integrate AI/LLM capabilities. Designs automation, quality gates, anomaly detection, and release-risk analysis; instruments developer workflows; writes production Java and pipeline code; sets technical direction, mentors engineers, and partners with platform, QE, and product teams to accelerate AI-native delivery.
Summary Generated by Built In

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience:

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.

You're Our Person If You Have:

  • 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.

Why This Role?

You'll be at the leading edge of how a major engineering org adopts AI - not as a side project, but as core infrastructure. We value pragmatic automation, data-driven decisions, and a high bar for reliability. If you want leadership and hands-on engineering without the tradeoff, and you want to shape how AI changes the way software gets built, this is it.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Skills Required

  • 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).
  • Experience with build tooling such as Gradle, Maven, or 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).
  • Track record of leading technical initiatives and mentoring engineers without formal authority.
  • Experience defining processes and measuring outcomes; instrumented, data-driven results (cycle time, quality, throughput, developer experience).
  • Bias toward automation, reliability, and measurable impact.
  • Experience building or evaluating LLM-based developer tools (prompt engineering, eval harnesses, agent frameworks, MCP).
  • Cloud infrastructure and containerization experience (AWS or GCP, Docker, Kubernetes).
  • Observability and metrics tooling experience for build/deploy health and developer productivity (e.g., Splunk, Grafana, ELK stack).
  • Ability to build and ship high-quality, production-grade software using modern engineering practices with AI integrated into the workflow.
  • Ability to design and orchestrate complex systems where AI agents integrate into human workflows.
  • Contribute to and maintain shared system context, including system designs, constraints, and standards for AI operation.
  • Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
  • A related technical degree.
  • Experience with Salesforce or Commerce Cloud (B2C/ECOM) platforms.
  • Experience with other cloud providers (like GCP) beyond AWS.
  • Contributions to open-source projects.
  • Certifications in AWS or related DevOps technologies.

Salesforce Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.

  • Fair & Transparent Compensation Pay is positioned as above-market in the U.S., with multiple peer-reported benchmarks converging around a similar median total compensation figure. Compensation is also framed as broadly viewed as fair in aggregate, even while acknowledging variation by role and group.
  • Parental & Family Support Parental leave is described as notably generous for U.S. caregivers, with additional supports like gradual return-to-work and doula reimbursement. Family-building programs are also emphasized through fertility/adoption/surrogacy support with sizeable reimbursement limits.
  • Wellbeing & Lifestyle Benefits Mental-health and coaching offerings are highlighted as accessible supports alongside financial-wellbeing tools. Volunteer Time Off and donation matching are presented as distinctive lifestyle-aligned benefits that add value beyond cash compensation.

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The Company
HQ: San Francisco, CA
72,000 Employees

What We Do

Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our groundbreaking suite of customizable agents and tools, Salesforce brings autonomous AI agents, unified data from any source, and best-in-class Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. Salesforce is democratizing AI agents for businesses of every size and industry so every company can embrace a workforce without limits. Our low code, open, and secure platform helps companies build and customize Salesforce fast so they can safely scale AI-powered work to every customer and employee experience and transform their business. Salesforce is proud to be the market leader, but we’re even more proud to lead in philanthropy, innovation and culture. Guided by core values of trust, customer success, innovation, equality, and sustainability, Salesforce is more than a business — we’re a platform for change.

Why Work With Us

There’s no typical day in the life of a Salesforce employee. You could be transforming our next AI innovation — or transforming your community. Closing deals — or closing your laptop for a day of Volunteer Time Off. Driving change for our customers — or driving change within one of our high-performing teams.

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