Staff Platform Engineer - Materia AI

Thomson Reuters•Frisco, NY

11h•Hybrid

About The Position

Thomson Reuters is hiring a Staff Platform Engineer for the CoCounsel for Tax and Accounting team, which evolved from the acquisition of Materia. The role combines startup-style innovation with enterprise practices to build cloud-native platforms and AI-native products for tax, accounting, and audit professionals. The engineer will help shape technical strategy and lead the design, development, and evolution of scalable, reliable, secure, and cost-effective infrastructure. This is a hands-on technical leadership position involving architectural influence, mentoring, and engineering best practices. The role focuses on launching and supporting backend services for generative AI agents and orchestration systems, while building robust developer experiences in collaboration with AI/ML engineers, frontend developers, product managers, and SREs. It includes creating reusable development workflows, improving delivery performance, operating production infrastructure across cloud and AI platforms, and establishing processes and documentation for a team of more than 150 product managers, researchers, and engineers. The position is hybrid for office-based roles. Eligible office locations include New York City, San Francisco, Los Angeles, Irvine, McLean, and Washington, DC. The position may be eligible for an annual bonus. The base compensation range is $158,000–$293,000 for the listed high-cost locations and $137,100–$254,700 for other eligible US locations.

Requirements

At least 8 years of experience in backend development, platform engineering, production engineering, or site reliability engineering.
Experience developing, deploying, and maintaining a backend service and associated client interface for product and engineering staff building customer-facing products.
Deep experience troubleshooting DNS, TCP, IP, and TLS protocols.
Extensive hands-on experience with cloud-native services, including container registries, Kubernetes or ECS orchestration, object storage, managed PostgreSQL, serverless functions, networking such as VPCs or service mesh, identity and access management, infrastructure as code, secrets management, and pub/sub messaging systems.
Excellent communication skills, including the ability to explain complex technical concepts clearly to technical and non-technical stakeholders.
Bachelor’s degree in computer science, computer engineering, or a related field, or equivalent experience.
Ability to build high-quality, reliable platform systems and work in a fast-paced, evolving environment.
Curiosity about emerging agentic software paradigms.

Nice To Haves

Fluency in Go, Python, Rust, or another systems-level language.
Experience with configuration management tools such as Terraform and CUE.
Experience with AI-driven systems, agent-based architectures, LLM evaluation tools, and AI APIs from providers such as OpenAI and Anthropic.
Experience owning SOC 2-compliant systems end to end.
Knowledge of vector databases, embeddings, or search-based AI.
Strong opinions on infrastructure design, end-to-end testing strategies, automation, middleware, and RPC/REST API design patterns.

Responsibilities

Contribute to the technical strategy and lead the design, development, and evolution of next-generation cloud-native platforms.
Launch backend services into production that power generative AI agents and orchestration systems, ensuring they are secure, performant, reliable, and adaptable.
Collaborate with AI/ML engineers, frontend developers, product managers, and SREs to build robust services and developer experiences.
Build and maintain reusable “golden path” reference implementations for automated build, test, and deployment workflows.
Design, implement, and manage reference CI/CD pipelines using tools such as GitHub Actions, Playwright, and Snyk.
Develop Go command-line tools and services that improve developer workflows from local development through production deployment.
Establish, measure, and continuously improve DORA metrics, including deployment frequency and change failure rate.
Lead the design and implementation of scalable, resilient, secure, and cost-effective production infrastructure using Kubernetes, Vercel, AWS, GCP, and AI platforms.
Establish and enforce platform security best practices using multi-cloud strategies, CNCF solutions, cloud-native security tools, and Thomson Reuters internal infrastructure.
Design and implement monitoring, logging, and alerting solutions using tools such as Datadog and LLM observability tools.
Set up processes and documentation to support a team of more than 150 product managers, researchers, and engineers.
Align with product, development, and operations teams on business objectives.
Mentor team members, champion engineering best practices, and foster experimentation and continuous improvement.
Monitor industry trends and emerging technologies in cloud computing, platform engineering, and site reliability engineering, and advocate for adoption where appropriate.

Benefits

Flexible hybrid working environment for office-based roles.
Work-from-anywhere flexibility for up to 8 weeks per year.
Flexible vacation and paid time off, including sick and safe paid time off and paid holidays.
Two company-wide Mental Health Days off annually.
Access to the Headspace app and Employee Assistance Program.
Retirement savings plan with company match.
Tuition reimbursement.
Employee incentive programs and possible annual bonus.
Health insurance, dental insurance, vision insurance, disability insurance, and life insurance.
Parental leave and sabbatical leave.
Two paid volunteer days off annually.
Flexible Spending Accounts and Health Savings Accounts.
Fitness reimbursement.
Commuter benefits.
Adoption and surrogacy assistance.
Employee Stock Purchase Plan.
Optional hospital, accident, sickness, life, and AD&D insurance.
Access to a 529 Plan.
Resources and programs supporting mental, physical, and financial wellbeing.