Cloud-Native Platform Engineer — AI Infra Leader

Thomson Reuters Corp.

Frisco (TX)

Hybrid

USD 102,000 - 190,000

Full time

9 days ago

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Benefits offered by this job

Hybrid work options
Flexible vacation policy
Mental health days
Tuition reimbursement
Employee stock purchase plan

Job summary

Thomson Reuters Corp. in Frisco, TX, seeks a Staff Platform Engineer for Materia AI to design and evolve cloud-native platforms powering AI workloads.

You will lead architecture, mentor engineers, and build scalable, secure infrastructure across multi-cloud environments using Kubernetes, Terraform, and CI/CD pipelines. You’ll collaborate with AI/ML teams, product managers, and SREs to deliver reliable services, implement monitoring with DataDog, and advance platform security and observability

Qualifications

  • 8+ years in backend/platform engineering or SRE roles.
  • Experience building cloud-native platforms and scalable services.
  • Strong understanding of DNS/TLS, networking, and security.

Responsibilities

  • Lead design and evolution of cloud-native platforms powering AI workloads.
  • Build scalable, reliable, and secure infrastructure across multi-cloud setups.
  • Mentor engineers, set engineering standards, and manage CI/CD pipelines.
  • Collaborate with AI/ML teams, product managers, and SREs to deliver products.

Skills

8+ years exp
Backend development
Cloud-native
Kubernetes
Go/Python/Rust
SRE
DNS/TLS troubleshooting

Education

Bachelor's degree in CS/CE or equivalent

Tools

Kubernetes
ECS
Terraform
CUE
GitHub Actions
Playwright
Snyk
DataDog

Job description

Thomson Reuters Corp. in Frisco, TX, seeks a Staff Platform Engineer for Materia AI to design and evolve cloud-native platforms powering AI workloads.

You will lead architecture, mentor engineers, and build scalable, secure infrastructure across multi-cloud environments using Kubernetes, Terraform, and CI/CD pipelines. You’ll collaborate with AI/ML teams, product managers, and SREs to deliver reliable services, implement monitoring with DataDog, and advance platform security and observability

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