Senior Site Reliability Engineer

The AI Platform team at Thomson Reuters builds, develops, and operates the Enterprise AI Platform, 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.

As a Senior Site Reliability Engineer, you will take ownership of the reliability, scalability, and long-term operational architecture of the AI Platform. 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.

Responsibilities:

• 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 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 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.

Requirements:

• Strong communication skills and the ability to work across engineering, security, and product teams.
• 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.
• Deep hands-on experience with cloud infrastructure.
• Solid experience with CI/CD tooling and infrastructure deployment automation.
• Familiar with containerization and cloud-native deployment patterns.

Benefits:

• Hybrid Work Model: flexible hybrid working environment.
• Flexibility & Work-Life Balance: supportive workplace policies.
• Career Development and Growth: culture of continuous learning and skill development.
• Industry Competitive Benefits: comprehensive benefit plans.
• Culture: award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
• Social Impact: opportunities to make an impact in the community.