Staff Platform Engineer - Materia AI

Thomson Reuters•Frisco, TX

12d•$102,200 - $189,800•Hybrid

About The Position

Are you excited about building cloud-native platforms that power Agentic workloads? Join a dynamic and highly skilled team at Thomson Reuters, where we combine the agility and innovation of a startup with the stability and resources of a global leader. As a Platform Engineer, you will contribute to leading the design, development, and evolution of our next-generation cloud-native platforms. You will contribute to technical strategy, champion engineering excellence, and build highly scalable, reliable, and secure infrastructure that empowers our product development teams. You will be a hands-on technical leader, influencing architectural decisions, mentoring team members, and championing best practices in a dynamic and fast-paced environment.

Requirements

8+ years of experience in backend development, platform engineering, production engineering, or site reliability engineering (SRE).
Experience developing, deploying, and maintaining a backend service and associated client interface for the benefit of other product and engineering staff developing products for customers.
Deep experience troubleshooting low level DNS, TCP, IP, and TLS protocols.
Creative problem solver who enjoys exploring new technologies.
Extensive hands-on experience with cloud-native services, including deep proficiency with container registries, orchestration (Kubernetes/ECS), object storage (buckets), managed PostgreSQL, serverless functions, networking (VPCs/service mesh), identity and access management, infrastructure-as-code, secrets management, and pub/sub messaging systems.
Excellent communication skills, capable of articulating complex technical concepts clearly and concisely to both technical and non-technical stakeholders.
Eager to explore and understand emerging agentic software paradigms.
Dedicated to building high-quality, reliable platform systems.
Comfortable working in a fast-paced, evolving environment.
Bachelor’s degree in computer science, computer engineering, related field, or equivalent experience

Nice To Haves

Fluent 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 like 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 designs patterns.

Responsibilities

Be part of a team that maintains the innovation velocity of a startup while leveraging the operational maturity of a global enterprise. You'll work with top AI and software development experts, building intelligent and scalable systems for accounting professionals. This role is for the CoCounsel for Tax and Accounting team, evolved from the acquisition of Materia, now integrating best-in-class enterprise practices with rapid innovation cycles.
Launch backend services into production that power generative AI agents and orchestration systems. This role requires both creativity and rigor to ensure our AI-driven solutions are secure, performant, reliable, and adaptable to real-world use cases.
Work closely with AI/ML engineers, frontend developers, product managers, and SREs to build robust services and developer experiences. Help to build out AI native products for tax, accounting, and audit professionals.
Build and maintain "golden path" reference implementations for automated build, test, and deploy workflows that development teams can adopt and customize.
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 streamline and empower developer workflows, from local development to production deployment.
Establish, measure, and continuously improve DORA metrics, for example deployment frequency, change failure rate to optimize the velocity and quality of product delivery.
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 and open-source CNCF solutions, integrating with cloud-native security tools and Thomson Reuters internal infrastructure.
Design and implement comprehensive monitoring, logging, and alerting solutions using tools such as DataDog and LLM observability tools.
Set up the necessary processes and documentation to support a team of 150+ product managers, researchers, and engineers.
Align with product, development, and operations teams on business objectives.
Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies.
Stay abreast of industry trends, emerging technologies, and best practices in cloud computing, platform engineering, and site reliability engineering, advocating for their adoption where appropriate.