Principal Platform Engineer

The Principal Platform Engineer owns the core engineering platform that every product team at RxSense builds on. As a direct report to the VP, Infrastructure Engineering, this role is accountable for the cloud infrastructure, CI/CD systems, developer tooling, and reliability practices that determine how confidently and how fast RxSense engineering can ship. This is a hands-on-keyboard, architect-level role, partnering with software engineers, AI engineers, security, and finance to build a platform that teams choose to build on rather than one they are required to use.

• →Design, build, and operate the core cloud infrastructure that supports RxSense engineering, including compute, networking, identity and access management, and container orchestration on AWS.
• →Own the CI/CD platform used across engineering teams, including build pipelines, artifact management, environment promotion, progressive rollout, and rollback.
• →Build and maintain the observability stack across the organization, including logging, metrics, distributed tracing, alerting, and the SLIs and SLOs that define reliable service.
• →Drive infrastructure as code practices across the organization and manage the Kubernetes clusters, custom controllers, and operators that back production workloads.
• →Partner with security and compliance to manage secrets, network policy, and access controls appropriate to a regulated healthcare and pharmacy benefits environment.
• →Design self-service developer tooling and platform APIs and set the abstractions that let product and AI engineering teams’ provision, deploy, and operate services without handholding.
• →Own incident response tooling, on-call practices, and reliability engineering standards, and lead or support major incident response across the platform.
• →Partner with engineering leadership and finance on infrastructure cost visibility, capacity planning, and cost optimization.
• →Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without handholding.
• →Participate in code review and promote collaboration and best practices, including simplicity, automation, sound design patterns, test coverage, and reusability.
• →Work normal day business hours in the Eastern US time zone

• BS (or higher, e.g., MS or Ph.D.) in Computer Science or a related technical field involving coding, or equivalent technical experience.
• 8+ years of platform, infrastructure, or site reliability engineering experience, with demonstrated Staff, Principal, or Architect-level scope, such as owning platform architecture end to end or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone.
• Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout.
• Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers, including production Kubernetes experience.
• Experience with GitHub and GitHub actions.
• Proven track record building internal developer platforms or tools that other engineering teams adopted by choice, not by mandate.
• Hands-on coding fluency in Python, Go, or TypeScript. This is a keyboard role, not an architecture-only role.
• Comfortable operating in a polyglot environment. The RxSense engineering stack spans Python, .NET, and TypeScript, and you will support services across all three.
• Practical experience with infrastructure as code (such as Terraform, CloudFormation, or Pulumi) and modern observability tooling (such as Prometheus, New Relic, Grafana, Datadog, or Open Telemetry).
• Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners.
• Strong written communication and a bias toward documentation, runbooks, and clear interfaces.
• Proven analytical thinking and problem-solving skills.
• Excellent communication skills, both verbal and written.

• Experience supporting infrastructure for AI or LLM-powered workloads, including GPU provisioning, model serving, or agent runtime infrastructure.
• Background in healthcare, PBM, pharmacy, or another regulated data environment.
• Kubernetes operator experience or comfort building custom controllers.
• FinOps experience, particularly attributing infrastructure spend to features, teams, or business units.
• Familiarity with distributed systems tooling such as Kafka, gRPC, or Dragonfly and Redis.
• Experience with Agile development methodologies, preferably both Scrum and Kanban.
• Experience with code scanning, security, and quality checks as part of the CICD.

Salary Range: $190,000 - $225,000