Principal Engineer
About The Position
We’re looking for a hands-on Principal-level engineer who can own technical direction across our multi-cloud Kubernetes platform. You’ll spend real time in Azure, keep AWS humming where we need it, and make sure we’re set up to support serious AI workloads. Our setup is a mix of Azure (our main cloud), active AWS workloads, on-prem Windows Servers, and databases that still matter a lot. Lately, we’ve been layering in more AI-driven pieces - everything from data pipelines and automation to clinical workflows. As we grow, we’re doubling down on real platform engineering: secure, dependable systems that keep costs reasonable while letting both classic services and new AI use cases run smoothly. This isn’t an ivory-tower architect job. You’ll design systems, write shipping code, shape our cloud +Kubernetes foundations, and guide teams on how to bring AI and automation in safely. You’ll touch infrastructure, DevOps, networking, apps—pretty much everything—and help set the engineering bar across the org.
Requirements
- BS in CS or equivalent real-world experience
- 8+ years building and running production cloud/hybrid systems
- 5+ years leading architecture across teams or large domains
- Deep Azure hands-on + strong AWS knowledge
- Proven production Kubernetes experience (not just toy clusters)
- Solid DevOps background: IaC, CI/CD, automation
- Strong networking fundamentals, especially multi-cloud/hybrid
- Real production coding in C#, JavaScript/Node, and Python
- Clear communicator—written and spoken
Nice To Haves
- Experience supporting AI/ML or data-heavy systems
- Work in regulated spaces (healthcare, finance, etc.)
Responsibilities
- Own and evolve our cloud/platform architecture on Azure and AWS, making sure it handles both traditional workloads and the AI stuff we’re ramping up
- Design, run, and tune Kubernetes clusters (AKS and EKS) that power backend services, data pipelines, ML training/inference, and more
- Build hybrid setups that tie Azure, AWS, and our on-prem Windows environments together cleanly
- Write solid production code in C#, Node.js/JavaScript, or Python for platform tools, automation, and internal services
- Help stand up infrastructure for AI: model serving, data flows, pipelines—whatever it takes to make AI practical here
- Push DevOps maturity: better CI/CD, IaC, testing, safe rollouts
- Champion reliability: define SLIs/SLOs, handle capacity, lead incidents, improve how we operate day-to-day
- Create self-service platform pieces so app and data teams aren’t constantly waiting on infra
- Work closely with security to bake in guardrails—especially around sensitive data and AI workloads
- Lead big projects from whiteboard to production and long-term stewardship
- Mentor senior engineers and tech leads; help everyone level up on architecture, code quality, and ops
- Keep an eye on cloud spend and drive meaningful cost optimizations across Azure and AWS
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Number of Employees
1,001-5,000 employees
