# Staff Platform Engineer- Materia AI

**Company**: Thomson Reuters
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $158,000 USD - $293,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/United-States-of-America-New-York-New-York/Staff-Platform-Engineer---Materia-AI_JREQ203820?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f63ac9e1-023

## Description

As a Staff Platform Engineer- Materia AI at Thomson Reuters, you will contribute to leading the design, development, and evolution of next-generation cloud-native platforms.

Key Responsibilities:

- Innovate with startup speed and enterprise scale, building intelligent and scalable systems for accounting professionals.

- Deliver AI-driven systems, launching backend services into production that power generative AI agents and orchestration systems.

- Collaborate across functions with AI/ML engineers, frontend developers, product managers, and SREs to build robust services and developer experiences.

- Develop and maintain "golden path" reference implementations for automated build, test, and deploy 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 streamline and empower developer workflows.

- Establish, measure, and continuously improve DORA metrics 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.

- Design and implement comprehensive monitoring, logging, and alerting solutions using tools such as DataDog and LLM observability tools.

- Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies.

Required Qualifications:

- 8+ years of experience in backend development, platform engineering, production engineering, or site reliability engineering (SRE).

- Experience developing, deploying, and maintaining backend services and associated client interfaces.

- Deep experience troubleshooting low-level DNS, TCP, IP, and TLS protocols.

- Extensive hands-on experience with cloud-native services, including container registries, orchestration, object storage, managed PostgreSQL, serverless functions, networking, 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.

- 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, or a related field.

Preferred qualifications:

- 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.

- Experience owning SOC 2 compliant systems end-to-end.

- Knowledge of vector databases, embeddings, or search-based AI.

What’s in it For You?

- Hybrid work model with flexible working environment.

- Flexibility and work-life balance with supportive workplace policies.

- Career development and growth opportunities with a culture of continuous learning.

- Industry-competitive benefits, including comprehensive benefit plans, retirement savings, tuition reimbursement, and employee incentive programs.

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

## Skills

### Required
- cloud-native services
- container registries
- orchestration
- object storage
- managed PostgreSQL
- serverless functions
- networking
- identity and access management
- infrastructure-as-code
- secrets management
- pub/sub messaging systems
- Go
- Python
- Rust
- Kubernetes
- Vercel
- AWS
- GCP
- DataDog
- LLM observability tools

### Nice to have
- configuration management tools
- Terraform
- CUE
- AI-driven systems
- agent-based architectures
- LLM evaluation tools
- AI APIs
- vector databases
- embeddings
- search-based AI

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Source: [Apply at thomsonreuters.wd5.myworkdayjobs.com](https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/United-States-of-America-New-York-New-York/Staff-Platform-Engineer---Materia-AI_JREQ203820?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)