Senior Platform Engineer - US Remote

Perfect Serve is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in 1997 and has grown steadily since then, with a notable jump after several major acquisitions were announced in 2019. Perfect Serve now has 400+ employees, 30,000+ customers — spanning medical practices, hospitals, and health systems — and $100 million+ in annual revenue.

Perfect Serve’s mission is to accelerate speed to care by optimizing provider schedules and routing communications — including messages, pages, calls, and alerts — to the right place at the right time in any care setting. By facilitating real-time information sharing, building better schedules, and automating important clinical workflows, we believe we can help our customers advance patient care and improve the well-being of their clinicians.

• In 2026, Perfect Serve was named highest in execution and furthest in vision in the Gartner Magic Quadrant™ for Clinical Communication and Collaboration — the clear segment leader.
• Perfect Serve also received two Best in KLAS awards in 2026 — one for physician scheduling and another for ambulatory clinical communications. That makes for 11 Best in KLAS awards over the past 9 years.

At Perfect Serve, you'll have a unique opportunity to join a collaborative team with decades of experience that finds new ways to delight our customers every day. This involves consistent efforts to stay on the cutting edge of product development, which includes everything from implementing AI in new and existing solutions to brainstorming with customers about novel workflows. But you don't have to be in product to make in impact — everybody at Perfect Serve contributes to important work that moves the business forward.

If you're looking for a well-established, tech-forward company full of smart people doing meaningful work, you've found the right place!

We are building a new data platform, and it needs to run somewhere — safely, repeatably, and in a regulated environment.

This is the infrastructure seat on a small data platform team. You will own the AWS footprint, the deployment path, and the access model that lets a data pipeline read from production systems safely. We hold a high bar here — declarative, version-controlled infrastructure and tightly scoped production access — and you will be designing within that model from day one.

Plenty of platform roles are about keeping existing infrastructure running. This one is about building the path that lets a new platform touch production data at all — in an environment with protected health information, multiple tenants, and systems clinicians rely on overnight.

That constraint is the interesting part. "Give the pipeline database access" is easy anywhere without rules. Doing it with least-privilege credentials, a fully auditable deployment path, and no manual escape hatches is an actual engineering problem, and it is the one you would own.

You will also be doing it at the start, when the decisions are still open — rather than inheriting someone's access model and being asked to defend it.

• Own the AWS infrastructure for the data platform, defined as code
• Build and maintain the deployment path, using Git Ops and continuous delivery
• Design least-privilege access to production data sources — credentials, network routes, and permissions that hold up to scrutiny
• Stand up observability for the platform so reliability is built in rather than added later
• Administer the Kubernetes workloads the platform runs on
• Partner with our security team, which matters here given protected health information and multiple tenants
• Automate the operational work rather than performing it by…