Senior Software Engineer, AI Platform

The AI Platform team builds, develops, and operates the Enterprise AI Platform at Thomson Reuters - a comprehensive ecosystem of services, tools, and infrastructure that empowers both technical and non-technical users to develop, evaluate, deploy, and monitor AI solutions at scale.

We are looking for a Senior Site Reliability Engineer to take ownership of the reliability, scalability, and long-term operational architecture of the AI Platform. In this role, you will partner closely with platform and ML engineers to design and evolve infrastructure that is resilient by default, observable at every layer, and built to sustain the pace of a fast-moving GenAI platform. Beyond day-to-day operational excellence, you will be expected to make deliberate, forward-looking infrastructure decisions - establishing patterns, standards, and guardrails that scale with the platform and reduce systemic risk over time. This is a senior individual contributor role with real technical ownership and meaningful influence over how the AI Platform is built and operated at Thomson Reuters.

About the role:

• Own and drive the long-term infrastructure strategy for the AI Platform team - designing systems and standards that are built to scale, remain reliable under growth, and reduce operational burden over time.
• Own and improve the operational posture of cloud-native services including containerized workloads, serverless functions, and managed ML infrastructure.
• Instrument services with observability tooling (Datadog, CloudWatch, or equivalent) covering metrics, logs, and distributed tracing.
• Establish and enforce SLAs and error budgets; drive incident response, post-mortems, and systemic reliability improvements.
• Collaborate with platform engineering to harden infrastructure against security findings (Wiz, Snyk) and maintain compliance with organizational standards.
• Design, build, and maintain CI/CD pipelines for AI Platform services, SDKs, and infrastructure, ensuring fast and reliable delivery across environments.
• Automate toil - infrastructure provisioning, security remediation workflows, environment management, and deployment operations.
• Mentor junior team members and raise the engineering bar across DevOps practices on the team.

About you:

• Strong communication skills and the ability to work across engineering, security, and product teams and distill unclear requirements into clear engineering goals.
• 5+ years of experience in cloud and infrastructure engineering roles.
• Strong proficiency in Python and shell scripting, with hands-on experience building and deploying automation tools that eliminate toil and streamline DevOps workflows. Infrastructure-as-code experience with CloudFormation, Terraform, ARM or SAM is expected.
• Deep hands-on experience with cloud infrastructure is expected.
• Solid experience with CI/CD tooling and infrastructure deployment automation.
• Familiar with containerization (Docker, Kubernetes) and cloud-native deployment patterns.