Burlington, Massachusetts, United States of America
17 hours ago
Senior Release/Software Engineer

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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.

We are seeking a highly skilled and experienced Senior Release/Software Engineer to join our growing engineering team. In this pivotal role, you will be instrumental in defining, optimizing, and maintaining our release processes and infrastructure. You will work closely with development, operations, and product teams to ensure efficient, reliable, and high-quality software delivery, with a particular focus on our cutting-edge AI-powered products.

This position requires onsite presence in the Burlington office.

What You'll Do:

Design and Implement Release Pipelines: Architect, implement, and maintain robust and scalable CI/CD pipelines for various applications, including those leveraging AI/ML models. Drive automation across the entire software delivery lifecycle.

Tooling and Infrastructure Management: Evaluate, select, and integrate best-of-breed tools for build, test, deployment, and monitoring. Manage and optimize our AWS cloud infrastructure related to release and deployment.

AWS Cloud Optimization: Leverage your deep expertise in AWS to optimize our cloud infrastructure for performance, cost-efficiency, and reliability, specifically for CI/CD workflows and AI-related deployments.

AI/ML Deployment Strategies: Develop and implement best practices for deploying and versioning AI/ML models, ensuring reproducibility and efficient inference. Address unique challenges associated with MLOps.

Monitoring and Alerting: Establish comprehensive monitoring and alerting for release pipelines and deployed applications to proactively identify and resolve issues.

Troubleshooting and Support: Provide expert-level support for release-related issues, working closely with development and operations teams to quickly diagnose and resolve problems.

Process Improvement: Continuously identify and implement improvements to our release processes, tools, and infrastructure, driving efficiency and reducing friction.

Mentorship and Leadership: Mentor junior engineers, share knowledge, and contribute to a culture of continuous learning and improvement within the team.

Security and Compliance: Ensure release processes adhere to security best practices and compliance requirements.

Requirements:

5+ years of experience as a Release Engineer, DevOps Engineer, or a similar role with a strong focus on release engineering.

Expert-level proficiency in CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions).

Deep hands-on experience with AWS infrastructure and services (e.g., EC2, S3, VPC, IAM, EKS/ECS, Lambda, CloudFormation, Terraform).

Proven experience with containerization technologies (Docker) and orchestration (Kubernetes).

Strong scripting skills in languages like Python, Bash, or Go.

Familiarity with AI/ML concepts and deployment challenges (e.g., model versioning, serving, MLOps pipelines). Experience with AI-specific AWS services is a significant plus.

Experience with configuration management tools (e.g., Ansible, Puppet, Chef) is a plus.

Solid understanding of software development lifecycle (SDLC) methodologies (Agile, Scrum).

Strong background in Java development.

Excellent problem-solving skills and the ability to troubleshoot complex systems.

Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams.

A proactive, ownership-driven mindset with a passion for automation and continuous improvement.

A related technical degree required.

Preferred Qualifications:

Experience with other cloud providers (like GCP).

Knowledge of monitoring and logging tools (e.g., Splunk, Grafana, ELK stack).

Contributions to open-source projects.

Certifications in AWS or related DevOps technologies.

Benefits & Perks

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

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

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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.

For Massachusetts based roles, the base salary hiring range for this position is $157,600 to $216,700.
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