Senior Platform Engineer

Thomson Reuters provides trusted content and technology solutions for professionals and institutions worldwide. The Senior Platform Engineer will design, build, and operate backend and platform services powering CoCounsel’s AI agent platform, while contributing to cloud infrastructure, CI/CD, observability, architecture, incident response, and engineering mentorship.

Responsibilities:

• 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 AgentCore) 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

Requirements:

• 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. OpenTelemetry, Datadog) for building and operating production systems
• Strong system design, debugging, and performance optimization skills, with the ability to make thoughtful trade-offs between speed, quality, and long-term scalability
• Experience operating systems built on or integrating with LLM/Generative AI infrastructure (e.g. managed agent runtimes, LLM gateways, RAG or document-retrieval pipelines) is a strong plus