Senior Platform Engineer

## Senior Platform Engineer Apply remote type:
Hybrid locations:
United States of America, Eagan, Minnesota:
United States of America, Frisco, Texas:
Canada, Toronto, Ontario:
United States of America, Ann Arbor, Michigan time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
November 25, 2026 (30+ days left to apply) job requisition :
JREQ
202895
** About the team
** Our Platform Engineering team builds and operates the core backend systems that power CoCounsel's AI agent platform — the infrastructure that lets legal AI agents run reliably  own the services that sit between product-facing chat/agent experiences and the AI runtime layer, the CI/CD and deployment infrastructure that ships them safely, and the internal developer tooling that other engineering teams build on.

We work closely with product, applied-AI, and platform teams to ship AI-driven capabilities faster and more reliably across the business.

As a
** Senior Platform Engineer**, you will design and deliver backend services with growing scope and autonomy, contribute to architectural decisions, and help raise engineering standards across the team.
** About the role
*** Design and deliver backend and platform services that power AI agent workflows — request/event ingestion, agent orchestration, document and file handling — improving reliability and delivery speed for product teams building on the platform.
* Contribute to the CI/CD and progressive-delivery infrastructure that lets both customer-facing product systems and internal developer tooling ship safely and continuously — including release-decoupling work that separates code deployment from customer-facing exposure.
* Build and maintain the cloud infrastructure the platform runs on — provisioning, capacity, and environment configuration — using Infrastructure-as-Code practices.
* Make sound architectural decisions for the services you own, with a focus on scalability, reliability, and maintainability within a microservices/event-driven system.
* Collaborate with product, applied-AI, and infrastructure teams on cross-functional initiatives, contributing to design and helping de-risk complex, multi-system projects.
* Uphold high engineering standards — code quality, automated testing, observability, CI/CD, and operational excellence — in your own work and in code review.
* Build and maintain observability into our services — metrics, logging, and tracing — that gives the team visibility into system health and speeds up incident diagnosis.
* Strengthen monitoring, incident response, and root-cause analysis for production systems running on managed cloud AI runtimes (e.g. AWS Bedrock Agent Core) and Kubernetes.
* Participate in an on-call rotation to support our customer-facing systems and critical internal tooling — treating every incident as an opportunity to protect the customer experience.
* Mentor junior and mid-level engineers, sharing knowledge and supporting their technical growth.
** About you
*** 4+ years of professional software engineering experience, including experience designing, building, and operating backend systems in production.
* Strong proficiency in Python (FastAPI or similar) or another backend language, with experience in distributed systems, microservices, and cloud-native development.
* Hands-on expertise with relational databases (PostgreSQL), caching/messaging systems (Redis), API design, and AWS, including container orchestration with Kubernetes (EKS).
* Experience with CI/CD pipeline engineering and progressive/safe delivery patterns (e.g. staged rollouts, traffic-shifted or environment-based release strategies).
* Infrastructure-as-Code practices for managing cloud infrastructure.
* Hands-on experience with observability tooling (e.g. Open Telemetry,…