Staff Platform Engineer

Thomson Reuters

. Design, develop, and evolve next-generation cloud-native platforms .

Posted 10/16/2026full-timeUnited StatesLead💰 $137,100 - $254,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend development and platform engineering, with a strong focus on cloud-native services, CI/CD pipeline management, and AI-driven systems. Proficient in designing secure, scalable infrastructure and collaborating across multidisciplinary teams to achieve business objectives.

Highest-signal resume keywords

Backend DevelopmentCloud-Native ServicesCI/CD Pipeline ManagementKubernetes Infrastructure DesignAI-Driven Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go ProgrammingPython ProgrammingRust ProgrammingInfrastructure-As-CodeEnd-To-End Testing StrategiesTroubleshooting DNSTCP/IP ProtocolsTLS ProtocolsConfiguration ManagementVector Databases

Soft Skills

Excellent Communication SkillsEagerness To Explore Emerging Technologies

Tools & Technologies

GitHub ActionsDataDogTerraformCUEAWSGCPKubernetesVercelSnykAI APIs

Certifications & Qualifications

Bachelor's Degree In Computer Science

Industry Keywords

Site Reliability EngineeringProduction EngineeringPlatform EngineeringSOC 2 ComplianceAI Technologies

Tech Stack

Tools & technologies

AWSCloudDNSGoogle Cloud PlatformKubernetesPostgresPythonRustTerraformGo

About the role

Key responsibilities & impact

Design, develop, and evolve next-generation cloud-native platforms
Contribute to technical strategy and champion engineering excellence
Build scalable, reliable, secure, and cost-effective infrastructure for product development teams
Launch backend services powering generative AI agents and orchestration systems into production
Collaborate with AI/ML engineers, frontend developers, product managers, and SREs
Build AI-native products for tax, accounting, and audit professionals
Build and maintain golden-path reference implementations for automated build, test, and deploy workflows
Design, implement, and manage CI/CD pipelines using GitHub Actions, Playwright, and Snyk
Develop Go command-line tools and services supporting workflows from local development through production deployment
Establish and improve DORA metrics, including deployment frequency and change failure rate
Lead production infrastructure design and implementation using Kubernetes, Vercel, AWS, GCP, and AI platforms
Establish and enforce platform security best practices using multi-cloud strategies and CNCF solutions
Design and implement monitoring, logging, and alerting using DataDog and LLM observability tools
Set up processes and documentation supporting a team of 150+ product managers, researchers, and engineers
Align with product, development, and operations teams on business objectives
Foster experimentation and continuous improvement in AI technologies and methodologies
Monitor industry trends and advocate for relevant cloud, platform engineering, and SRE practices

Requirements

What you’ll need

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 product and engineering staff
Deep experience troubleshooting DNS, TCP, IP, and TLS protocols
Extensive hands-on experience with cloud-native services
Proficiency with container registries, Kubernetes/ECS, object storage, managed PostgreSQL, serverless functions, networking, VPCs/service mesh, identity and access management, infrastructure-as-code, secrets management, and pub/sub messaging systems
Bachelor's degree in computer science, computer engineering, related field, or equivalent experience
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 such as OpenAI and Anthropic
Experience owning SOC 2 compliant systems end to end
Knowledge of vector databases, embeddings, or search-based AI
Experience with end-to-end testing strategies, automation, middleware, and RPC/REST API design patterns
Excellent communication skills
Eagerness to explore emerging agentic software paradigms
Ability to work in a fast-paced, evolving environment

Benefits

Comp & perks

Flexible hybrid working environment
Work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Headspace app access
Retirement savings
Tuition reimbursement
Employee incentive programs
Mental, physical, and financial wellbeing resources
Two paid volunteer days off annually
Health, dental, vision, disability, and life insurance programs
Competitive 401(k) plan with company match
Sick and safe paid time off
Paid holidays, including two company mental health days off
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Employee Assistance Program
Group Legal Identity Theft Protection benefit
529 Plan access
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
Annual bonus eligibility based on enterprise and individual performance