Engineering Manger - Dev Platform

Refinitiv; Eagan, Northern (MN, KY); Hybrid; USD 118,000 - 220,000; Full time

Benefits offered by this job

Hybrid Work Model

Flexible vacation policy

Mental Health Days

Job summary

Refinitiv is seeking an Engineering Manager to lead a platform engineering team that builds and operates core backend systems powering AI agent platforms. You will stay technically engaged while guiding roadmaps and priorities in partnership with leadership.

The role requires 6+ years in software engineering with direct leadership, strong Python or backend language skills, and expertise in distributed systems, cloud-native development, and observability. Hybrid/onsite options are available.

Qualifications

• 6+ years of professional software engineering with leadership experience.
• Experience leading a team with 1:1s, performance reviews, hiring, and career development.
• Strong Python or other backend language with distributed systems expertise.
• Hands-on experience with PostgreSQL, Redis, API design, and AWS.
• CI/CD pipeline engineering and release/deployment strategies.
• IaC practices for cloud infrastructure management.
• Observability tooling for production systems (OpenTelemetry, Datadog).
• Experience with LLM/Generative AI infrastructure is a plus.

Responsibilities

• Lead a team of platform engineers, balancing people management with technical input.
• Set team strategy and roadmap in partnership with leadership.
• Design and deliver backend/platform services powering AI agent workflows.
• Guide CI/CD and progressive-delivery infrastructure for safe shipping.
• Own cloud infrastructure provisioning and environment configuration (IaC).
• Promote scalable, reliable, and maintainable architecture across microservices.

Skills

People management

Team leadership

Python

Distributed systems

Cloud-native

Kubernetes (EKS)

CI/CD

Observability

AI/LLM infra

Tools

AWS CDK

Kubernetes (EKS)

PostgreSQL

OpenTelemetry

Datadog

Job description

About the Role

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.

What you will do

• 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.

About you

• 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 Have

• 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.

What’s in it For You?

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work‑life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real‑world solutions. Our Grow My Way programming and skills‑first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Culture

Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more.

Values

Obsess over our Customers

Compete to Win

Challenge (Y)our Thinking

Act Fast / Learn Fast

Stronger Together

Social Impact

Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Equal Employment Opportunity

To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.

Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace.

Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.

Accommodations

For applicants residing in the United States who require assistance in the recruiting process, a separate contact is provided by Human Resources.

Compensation

For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD. For Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.