[Hiring] SRE/ DevOps Engineer @TMS LLC

Role Description

The role is focused on ensuring excellence in Fitch Ratings services, with a focus on new AI development.

• Lead the delivery of reliable, scalable, mission-critical services.
• Guide squads on Kubernetes and modern deployment patterns.
• Partner closely with Fitch Ratings Development Squads and Operations to design and advance service builds, DevOps tooling, and drive operational excellence.
• Partner with Core Engineering to architect and govern GitHub Actions CI/CD with quality gates, canary/blue-green strategies, and AI-assisted redeploy checks.
• Own observability in Datadog—define SLIs/SLOs, dashboards, alerting, and MS Teams integrations—and reduce incidents via telemetry-driven automation and blameless postmortems.
• Champion AI-enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails.
• Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries, OPA policies, tagging, centralized logging with AWS Config/CloudTrail/Security Hub) in partnership with Security and Risk.

Qualifications

• Deep, hands-on experience in SRE, DevOps, or Platform Engineering across both AWS and Azure.
• Strong track record operating Docker and Kubernetes in production environments.
• Highly proficient in administering both Linux and Windows.
• Practical, enterprise-level experience supporting IIS/.NET applications as well as Java Spring Boot services.
• Experience building and maintaining CI/CD pipelines (primarily GitHub Actions) with DevSecOps principles.
• Confident scripting in Python, PowerShell, or Bash.
• Experience with cloud security best practices (IAM, secrets management, container/image scanning).
• Understanding of core infrastructure fundamentals (networking, storage, DNS) and APM/telemetry tooling.

Requirements

• Practical experience with agentic AI for operations—incident triage, runbooks, and change management.
• Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving.
• Policy-as-code (OPA) and compliance implementation across CIS, NIST, ISO 27001, with automated remediation integrated via CSPM tools (e.g., Wiz).
• Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP).
• Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies.

Benefits

• All your information will be kept confidential according to EEO guidelines.