Senior Reliability Engineer

About the role

Fitch Solutions SRE provides Service Reliability Engineering expertise to Fitch’s development organizations. This squad joins Core Engineering and other SRE groups as part of Cloud Infrastructure & Platform Engineering (CI&PE), serving as subject matter experts in cloud technologies, systems engineering, infrastructure automation, and DevOps tooling across Fitch Group.

Responsibilities

• Lead the delivery of reliable, scalable, mission-critical services.
• Guide squads on Kubernetes and modern deployment patterns.
• Mentor associate engineers and set best practices for areas of expertise.
• Partner closely with Fitch Solutions 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.
• Influence cross-functional roadmaps, lead complex release planning, and drive strategic platform initiatives across CI&PE; serve as an escalation point and participate in the L3 on-call rotation.

Requirements

• Deep, hands-on experience in SRE, DevOps, or Platform Engineering across both AWS and Azure, with a strong track record operating Docker and Kubernetes in production environments.
• Highly proficient in administering both Linux and Windows, and have practical, enterprise-level experience supporting IIS/.NET applications as well as Java Spring Boot services.
• Experience with cloud security best practices (IAM, secrets management, container/image scanning) and understanding core infrastructure fundamentals (networking, storage, DNS) and APM/telemetry tooling.
• Practical experience with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls.
• 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.

Qualifications

Preferred qualifications include:

• Experience with AWS and Azure cloud platforms.
• Strong understanding of DevOps practices and tools.
• Experience with CI/CD pipelines and automation.
• Knowledge of Kubernetes and container orchestration.
• Experience with observability tools such as Datadog.
• Experience with AWS Bedrock and SageMaker.
• Experience with Model Context Protocol (MCP).

Skills

• Service Reliability Engineering
• DevOps
• Platform Engineering
• Kubernetes
• CI/CD
• Observability
• AWS
• Azure
• Agile
• AI/ML

Benefits

Fitch offers a comprehensive benefits package including:

• Retirement planning and tuition reimbursement programs
• Comprehensive healthcare offerings
• Family-friendly policies, including a generous global parental leave plan
• Employee Resource Groups
• Volunteer days and matched funding for donations

Pay

Expected base pay rates for the role will be between $135,000 and $145,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors.

Schedule

Hybrid work environment with 2 to 3 days a week in the office required based on your line of business and location.