SRE/ DevOps Engineer

Technology Management Solutions LLC; Toronto; Sur place; CAD 120 000 - 170 000; Plein temps

Résumé du poste

Fitch Group is seeking an experienced SRE/Platform Engineer to lead reliable, scalable services across AWS/Azure. You will guide squads on Kubernetes and modern deployment patterns, architect CI/CD with GitHub Actions and AI‑assisted checks, and own Datadog observability and security practices.

Ideally you have hands‑on Linux/Windows admin skills, IIS/.NET and Java Spring Boot experience, and a track record delivering DevSecOps pipelines with strong security integrations.

Qualifications

• Deep, hands-on experience in SRE/DevOps/Platform Engineering across AWS and Azure.
• Proficient in administering Linux and Windows; experience with IIS/.NET and Java Spring Boot.
• Experienced in building and maintaining CI/CD pipelines with security gates and code scanning.
• Solid knowledge of cloud security (IAM, secrets management) and container imaging security.

Responsabilités

• Lead the delivery of reliable, scalable, mission-critical services. Guide squads on Kubernetes and modern deployment patterns.
• Partner with Fitch Development and Operations to design service builds, DevOps tooling, and operational excellence.
• Architect and govern GitHub Actions CI/CD with quality gates, canary/blue‑green, and AI-assisted redeploy checks.
• Own observability in Datadog—define SLIs/SLOs, dashboards, alerts, and integrations; reduce incidents via telemetry automation.

Connaissances

Kubernetes experience

Docker in production

SRE/DevOps

CI/CD pipelines

Python

PowerShell/Bash

Cloud platforms (AWS/Azure)

IIS/.NET & Java Spring Boot

Datadog observability

GitHub Actions

Security practices in cloud

Outils

GitHub Actions

Datadog

AWS

Azure

Kubernetes

Description du poste

Fitch Group 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. The role itself will be dedicated to ensuring excellence in Fitch Ratings services, with focus on new AI development.

How You’ll Make an Impact:

• You’ll lead the delivery of reliable, scalable, mission-critical services. You’ll 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.

You May be a Good Fit if:

• You have 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.
• You’re 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.
• You have built and maintained CI/CD pipelines (primarily GitHub Actions) with DevSecOps principles baked in—integrating security scans, policy-as-code, and compliance gates—and script confidently in Python, PowerShell, or Bash.
• You have experience with cloud security best practices (IAM, secrets management, container/image scanning) and understand core infrastructure fundamentals (networking, storage, DNS) and APM/telemetry tooling.

What Would Make You Stand Out:

• 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.

Additional Information

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