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.