Senior Site Reliability Engineer, AI Platform

Thomson Reuters

. Own and drive the long-term infrastructure strategy for the AI Platform team .

Posted 9/18/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in cloud and infrastructure engineering, with a strong focus on designing scalable systems, automating infrastructure processes, and maintaining compliance. Proven ability to mentor team members and enhance DevOps practices while collaborating across engineering and security teams.

Highest-signal resume keywords

Cloud Infrastructure EngineeringPython ProgrammingInfrastructure-as-CodeCI/CD Pipeline DevelopmentContainerization (Docker, Kubernetes)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonShell ScriptingCloudFormationTerraformARMSAMCI/CD ToolingAutomation ToolsContainerizationCloud-Native Deployment Patterns

Soft Skills

Strong Communication SkillsCollaboration Across TeamsAbility to Distill Requirements

Tools & Technologies

DatadogCloudWatchWizSnyk

Industry Keywords

Infrastructure StrategyOperational PostureIncident ResponseSLA EnforcementDevOps Practices

Tech Stack

Tools & technologies

CloudDockerKubernetesPythonShell ScriptingTerraform

About the role

Key responsibilities & impact

Own and drive the long-term infrastructure strategy for the AI Platform team
Design scalable, reliable systems and standards that reduce operational burden
Own and improve the operational posture of containerized workloads, serverless functions, and managed ML infrastructure
Instrument services with Datadog, CloudWatch, or equivalent observability tooling for 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 address security findings using Wiz and Snyk
Maintain compliance with organizational standards
Design, build, and maintain CI/CD pipelines for AI Platform services, SDKs, and infrastructure
Automate infrastructure provisioning, security remediation workflows, environment management, and deployment operations
Mentor junior team members and improve DevOps practices across the team

Requirements

What you’ll need

5+ years of experience in cloud and infrastructure engineering roles
Strong proficiency in Python and shell scripting
Hands-on experience building and deploying automation tools
Infrastructure-as-code experience with CloudFormation, Terraform, ARM, or SAM
Deep hands-on experience with cloud infrastructure
Solid experience with CI/CD tooling and infrastructure deployment automation
Familiarity with containerization, including Docker and Kubernetes
Familiarity with cloud-native deployment patterns
Strong communication skills
Ability to work across engineering, security, and product teams
Ability to distill unclear requirements into clear engineering goals

Benefits

Comp & perks

Flexible hybrid working environment with 2–3 days a week in the office depending on the role
Work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and ESG initiatives
Career development, continuous learning, and skills development through Grow My Way programming
Flexible work arrangements
Employee inclusion, belonging, and work-life balance programs