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Thomson Reuters
Thomson Reuters
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Thomson Reuters develops trusted content, data, and technology for professionals working in legal services, tax and accounting, international trade, risk management, insurance, consulting, and global news. Its portfolio includes legal research platforms, tax and accounting software, compliance and regulatory tools, and Reuters media services. By combining specialist expertise with investments in generative AI, Thomson Reuters helps law firms, corporations, tax professionals, and media organizations manage complex information, streamline workflows, and make better-informed decisions.
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Staff Platform Engineer, AI Infrastructure - Thomson Reuters Hybrid

Lead platform engineering for Thomson Reuters’ generative AI tax and accounting products. Build secure, scalable cloud infrastructure, delivery pipelines, observability, and developer enablement systems.

USUnited StatesMIMichiganMNMinnesotaTXTexas
$102,200 – $189,800 / year
HybridFull-timeLeadEnglish RequiredPlatform Engineer
AWSCloudDNSGoGoogle Cloud PlatformKubernetesPostgresPythonRustTerraform

Description

  • Architect and evolve cloud-native platform capabilities
  • Shape technical strategy and promote engineering excellence
  • Deliver scalable, reliable, secure, and cost-efficient infrastructure for product teams
  • Productionize backend services that support generative AI agents and orchestration
  • Partner with AI/ML engineers, frontend developers, product managers, and SREs
  • Develop AI-native solutions for tax, accounting, and audit professionals
  • Create and maintain golden-path implementations for automated build, test, and deployment workflows
  • Build and operate CI/CD pipelines with GitHub Actions, Playwright, and Snyk
  • Develop Go CLI tools and services that improve developer workflows
  • Define and advance DORA metrics, including deployment frequency and change failure rate
  • Lead production infrastructure implementation across Kubernetes, Vercel, AWS, GCP, and AI platforms
  • Implement platform security controls through multi-cloud strategies and CNCF technologies
  • Build monitoring, logging, and alerting with Datadog and LLM observability tools
  • Establish processes and documentation for more than 150 product managers, researchers, and engineers
  • Coordinate product, engineering, and operations teams around business goals
  • Coach colleagues and guide architectural decisions
  • Encourage experimentation and ongoing improvement in AI technologies and methods
  • Track industry developments and promote relevant cloud, platform engineering, and SRE practices

Requirements

  • At least 8 years of experience in backend, platform, production, or site reliability engineering
  • Experience building, deploying, and operating backend services with client interfaces for product and engineering teams
  • Advanced troubleshooting skills across DNS, TCP, IP, and TLS protocols
  • Extensive practical experience with cloud-native services
  • Proficiency with container registries, Kubernetes or ECS, object storage, managed PostgreSQL, serverless functions, networking, IAM, infrastructure as code, secrets management, and pub/sub systems
  • Strong communication skills with technical and non-technical stakeholders
  • Bachelor’s degree in computer science, computer engineering, a related discipline, or equivalent experience
  • Preferred: Proficiency in Go, Python, Rust, or another systems programming language
  • Preferred: Experience with Terraform and CUE
  • Preferred: Experience building AI-driven systems and agent architectures, using LLM evaluation tools and AI APIs such as OpenAI and Anthropic
  • Preferred: End-to-end ownership of SOC 2-compliant systems
  • Preferred: Familiarity with vector databases, embeddings, or search-based AI
  • Preferred: Clear perspectives on infrastructure architecture, end-to-end testing, automation, middleware, and RPC or REST API patterns

Benefits

  • Hybrid working arrangement
  • Flexible work options, including up to 8 weeks of working from anywhere each year
  • Flexible vacation policy
  • Two company-wide mental health days
  • Access to the Headspace app
  • Retirement savings program
  • Tuition reimbursement
  • Employee incentive programs
  • Resources supporting mental, physical, and financial wellbeing
  • Two paid volunteer days each year
  • Opportunities to participate in pro bono consulting projects
  • Opportunities to contribute to environmental, social, and governance initiatives
  • Health, dental, vision, disability, and life insurance
  • 401(k) plan with company matching
  • Paid vacation, sick leave, and safe time off
  • Paid company holidays
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident, and sickness insurance
  • Optional life and accidental death and dismemberment insurance
  • Flexible Spending Accounts and Health Savings Accounts
  • Fitness reimbursement
  • Employee Assistance Program
  • Group legal and identity theft protection benefit
  • Access to a 529 plan
  • Commuter benefits
  • Adoption and surrogacy assistance
  • Employee Stock Purchase Plan
  • Possible annual bonus eligibility based on enterprise and individual performance

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