Staff Platform Engineer

Thomson Reuters

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

Posted 9/21/2026full-timeUnited StatesLead💰 $102,200 - $189,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud-native platforms, backend services, and CI/CD pipelines while ensuring security and scalability. Proficient in collaborating with cross-functional teams and mentoring team members to drive engineering excellence and innovation in AI technologies.

Highest-signal resume keywords

Cloud-Native ServicesKubernetesCI/CD PipelinesGo ProgrammingInfrastructure Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentPlatform EngineeringProduction EngineeringSite Reliability EngineeringTroubleshooting DNSTCP/IP ProtocolsInfrastructure-as-CodeSecrets ManagementAutomationMiddleware

Soft Skills

Excellent Communication Skills

Tools & Technologies

GitHub ActionsPlaywrightSnykDatadogAWSGCPTerraformCUEOpenAIAnthropic

Certifications & Qualifications

Bachelor’s Degree in Computer Science

Industry Keywords

AI-Driven SystemsAgent-Based ArchitecturesSOC 2 ComplianceVector DatabasesEmbeddings

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 to streamline developer workflows
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 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 150+ product managers, researchers, and engineers
Align product, development, and operations teams on business objectives
Mentor team members and influence architectural decisions
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 low level 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, identity and access management, infrastructure-as-code, secrets management, and pub/sub messaging systems
Excellent communication skills for technical and non-technical stakeholders
Bachelor’s degree in computer science, computer engineering, related field, or equivalent experience
Preferred: Fluency in Go, Python, Rust, or another systems-level language
Preferred: Experience with Terraform and CUE
Preferred: Experience with AI-driven systems, agent-based architectures, LLM evaluation tools, and AI APIs such as OpenAI and Anthropic
Preferred: Experience owning SOC 2 compliant systems end to end
Preferred: Knowledge of vector databases, embeddings, or search-based AI
Preferred: Strong opinions on infrastructure design, end-to-end testing strategies, automation, middleware, and RPC/REST API design patterns

Benefits

Comp & perks

Hybrid work model
Flexible work arrangements, including 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
Pro-bono consulting project opportunities
Environmental, Social, and Governance (ESG) initiative opportunities
Health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays
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
Potential eligibility for an annual bonus based on enterprise and individual performance