Senior Platform Engineer — AI-Driven Backend & AWS

ComPsych Corporation; Oregon; Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Full benefits package

Job summary

ComPsych Corporation is modernizing its backend foundations by building shared platform capabilities, cloud-native services, and AWS infrastructure to support millions of users. You’ll own architecture and delivery of reusable backend services and integrations used by application teams, with a focus on reliability, security, and scalability.

We emphasize agentic AI for platform work, rigorous testing, and safe migrations while maintaining compatibility and observability.

Qualifications

• Deep server-side engineering experience in Java, Python, C#, Kotlin, or Go.
• Strong distributed systems fundamentals — API contracts, asynchronous messaging, concurrency, idempotency, consistency.
• Hands-on AWS experience designing and operating production workloads including compute, networking, storage, databases, messaging, IAM.
• Experience building shared backend foundations with compatibility, configuration, documentation, and adoption.

Responsibilities

• Own the architecture and delivery of reusable backend services and integrations for application teams.
• Design and implement platform capabilities with clear interfaces and operational contracts.
• Engineer for reuse, testability, and security across the platform.
• Review agent and human work with rigor and respond to incidents to ensure reliability.

Skills

Java

Python

C#

Kotlin

Go

AWS

Containers

CI/CD

Terraform

Tools

AWS

Docker

Kubernetes

Terraform

Job description

ComPsych Corporation is modernizing its backend foundations by building shared platform capabilities, cloud-native services, and AWS infrastructure to support millions of users. You’ll own architecture and delivery of reusable backend services and integrations used by application teams, with a focus on reliability, security, and scalability.

We emphasize agentic AI for platform work, rigorous testing, and safe migrations while maintaining compatibility and observability.