Jobs and Careers

Principal Software Engineer, Platform Engineering

United Statesfull_timeVerifiedPosted 8 Jul 2026

💰 $256,500/yr($142,500/yr – $256,500/yr)

About the role

The Role:

Joining Moderna offers the unique opportunity to be part of a pioneering team that's revolutionizing medicine through mRNA technology, with a diverse pipeline of development programs across various diseases.

Moderna is looking for a hands-on, impact-driven Principal Software Engineer, Platform Engineering to help define, build and evolve reusable platform capabilities that enable application teams to develop, deploy, and operate software safely and effectively. This is a senior individual contributor role that combines deep technical execution with cross-functional technical leadership across developers ("Builders"), Cybersecurity, Architecture, AI platform teams, and broader teams to provide scalable, secure, and user-focused capabilities that make the right path the easiest path for Moderna’s engineering teams.

The initial focus for this role will be advancing AI runtime safety and AI gateway capabilities, including reusable integration patterns, policy enforcement, telemetry, secure development workflows, and operational tooling, and paved-road controls for governed AI assisted development. Over time, this role will influence and contribute across the broader Builder Tools & Platforms portfolio, including developer tooling, secure software delivery, internal frameworks, platform automation, and paved-road engineering standards.

This role is well suited for a principal engineer who thrives in ambiguous, high-impact problem spaces and can move fluidly from strategy and architecture to hands-on implementation, cloud infrastructure, CI/CD, production operations, developer enablement, and secure software delivery. You will help translate emerging enterprise needs into reliable, reusable, and well-governed platform capabilities for Moderna’s engineering teams.

Here’s What You’ll Do

Design and build secure platform capabilities using Python/TypeScript, GitHub Actions, Pulumi, Docker, AWS, and relevant internal or vendor APIs.
Lead the design and evolution of AI runtime safety and AI gateway patterns, including policy enforcement, access controls, telemetry, auditability and operational controls.
Build and guide implementation of governed AI-assisted development workflows by packaging approved tools, creating reusable integration patterns, improving developer experience, and embedding security and compliance expectations into paved-road delivery workflows.
Partner with Cybersecurity, Architecture, AI platform teams, and engineering leaders to align on platform standards, adoption strategy, risk posture, and implementation tradeoffs.
Create and drive adoption of templates, reference implementations, documentation, examples, and paved-road patterns that help application teams adopt secure development and AI-assisted workflows.
Improve developer experience by identifying systemic friction, reducing setup time, eliminating manual toil, standardizing common workflows, and making secure patterns easy to adopt.
Establish and mature operational practices for owned capabilities, including monitoring, alerting, dashboards, runbooks, support models, service ownership, and lifecycle management.
Identify recurring developer pain points and influence roadmap by proposing improvements to shared frameworks, templates, platform tooling, and paved paths.
Lead integration of secure software delivery controls into development workflows, including CI/CD guardrails, policy checks, artifact controls, and developer remediation patterns.
Contribute hands-on across Builder Tools & Platforms priorities as team needs evolve, including developer tooling, platform automation, secure delivery patterns, internal frameworks, and operational support.
Mentor and coach engineers, raise engineering standards, review design and implementations, and help teams make durable technical decisions across platform and applications boundaries