Principal Platform Engineer

Our Platform Engineering team builds and evolves the internal platforms that power software development across InterSystems. We develop build systems, developer tools, cloud-native infrastructure, automation, and AI-enabled engineering capabilities that help teams deliver software faster, more securely, and more reliably.

As a Principal Platform Engineer, you will serve as a hands-on technical leader, solving complex engineering challenges, shaping technical direction, and leading initiatives that improve developer productivity, platform reliability, and software delivery across the company., * Provide technical leadership and architectural direction across Platform Engineering.

• Design and enhance internal platforms, developer tools, build systems, CI/CD pipelines, release automation, and software factory capabilities.
• Identify opportunities to simplify and automate how software is built, tested, and delivered.
• Help ensure our platforms are scalable, reliable, secure, and maintainable.
• Evaluate new technologies and introduce them where they can make a meaningful impact.
• Collaborate with teams across the organization, mentor engineers, and help guide technical decisions.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Eight or more years of experience in software engineering, platform engineering, infrastructure engineering, DevOps, or a related discipline.
• Experience leading complex technical initiatives involving multiple systems or teams.
• Experience in areas such as cloud infrastructure, CI/CD platforms, build systems, developer tooling, automation, Infrastructure as Code, containers, and observability.
• Strong software engineering and automation skills using languages such as Python, Go, Java, JavaScript, Bash, or similar technologies.
• Strong understanding of system architecture, reliability, security, scalability, and maintainability.
• Experience using AI tools to improve software development and engineering workflows.
• Ability to identify where AI can meaningfully enhance developer productivity and software delivery while understanding its limitations and risks., * Experience building internal developer platforms that support software development and delivery.
• Experience with DevSecOps practices, including application security, software supply chain security, and secure development pipelines.
• Experience with AI coding assistants or agentic development tools such as Claude Code, GitHub Copilot, Tabnine, or similar technologies.
• Experience integrating AI capabilities into developer platforms, engineering tools, or automated workflows.

InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.

Other compensation may include a discretionary annual variable target incentive.

The company also provides generous employee benefits including:

• Medical, vision, and dental insurance
• Short-term and long-term disability, and life insurance
• 401(k) Profit Sharing Contribution
• Paid Time Off and Holidays
• Parental Leave
• Tuition reimbursement

The estimated base compensation range for this role is:

$110,000 - $164,000 USD

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

AI Disclaimer

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.