Engineering Manger - Dev Platform

Thomson ReutersEagan, MN
Hybrid

About The Position

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 at scale. We 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 an Engineering Manager, you will lead a team of platform engineers, owning both their technical output and their growth — staying close enough to the architecture and code to make sound calls, while driving the team's roadmap and priorities in partnership with engineering leadership.

Requirements

  • 6+ years of professional software engineering experience, including prior technical leadership or people-management experience, with a track record designing, building, and operating large-scale backend systems in production.
  • Demonstrated experience leading a team directly — 1:1s, performance reviews, hiring, career development — while staying credible at the code/architecture level.
  • Strong proficiency in Python (FastAPI or similar) or another backend language, with deep 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, and release engineering (decoupling deployment from release exposure).
  • Infrastructure-as-Code practices for managing cloud infrastructure.
  • Experience with observability tooling (e.g. OpenTelemetry, Datadog) for building and operating production systems.
  • Experience operating systems built on or integrating with LLM/Generative AI infrastructure is a strong plus.
  • Demonstrated strength in system design, debugging, and performance optimization, with the ability to make thoughtful trade-offs between speed, quality, and long-term scalability.

Nice To Haves

  • Proven ability to influence technical direction without direct authority, and to communicate clearly with technical and non-technical audiences and leadership.
  • Hands-on experience with AWS CDK specifically is a nice-to-have.

Responsibilities

  • Own people-management responsibilities for a team of platform engineers — hiring, performance management, career development, and workload/priority balancing — while remaining technically engaged in architecture and code-level decisions.
  • Set and communicate team-level technical strategy and roadmap in partnership with engineering leadership, translating business priorities into an execution plan.
  • Guide the design and delivery of backend and platform services that power AI agent workflows — request/event ingestion, agent orchestration, document and file handling — ensuring reliability and delivery speed for product teams building on the platform.
  • Steer the evolution of 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.
  • Ensure the team owns and evolves the cloud infrastructure the platform runs on — provisioning, capacity planning, and environment configuration — using Infrastructure-as-Code practices.
  • Champion sound backend architecture with a focus on scalability, reliability, and maintainability across a microservices/event-driven system, influencing long-term platform direction.
  • Drive cross-functional technical initiatives with product, applied-AI, and infrastructure teams, aligning priorities and de-risking complex, multi-system projects from design through production.
  • Raise the bar on engineering practices — code quality, automated testing, observability, CI/CD, and operational excellence — across the platform stack.
  • Champion observability across the platform — metrics, logging, and tracing — ensuring your team and downstream teams have the visibility needed to operate complex systems with confidence.
  • Ensure strong operational posture for the team's services — monitoring, incident response, and root-cause analysis for production systems running on managed cloud AI runtimes (e.g. AWS Bedrock AgentCore) and Kubernetes.
  • Ensure the team maintains a healthy on-call rotation supporting our customer-facing systems and critical internal tooling, and participate in it yourself — treating every incident as an opportunity to protect the customer experience.
  • Grow technical leadership within the team, fostering a culture of learning, ownership, and continuous improvement.

Benefits

  • Hybrid Work Model
  • Flexibility & Work-Life Balance
  • Work from anywhere for up to 8 weeks per year
  • Career Development and Growth
  • Grow My Way programming
  • Flexible vacation
  • Two company-wide Mental Health Days off
  • Access to the Headspace app
  • Retirement savings
  • Tuition reimbursement
  • Employee incentive programs
  • Resources for mental, physical, and financial wellbeing
  • Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
  • Two paid volunteer days off annually
  • Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Market competitive health, dental, vision, disability, and life insurance programs
  • Competitive 401k plan with company match
  • Competitive vacation, sick and safe paid time off
  • Paid holidays
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident and sickness insurance paid 100% by the employee
  • Optional life and AD&D insurance paid 100% by the employee
  • Flexible Spending and Health Savings Accounts
  • Fitness reimbursement
  • Access to Employee Assistance Program
  • Group Legal Identity Theft Protection benefit paid 100% by employee
  • Access to 529 Plan
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Access to Employee Stock Purchase Plan
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service