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- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
You will lead the delivery of reliable, scalable, mission-critical services while guiding squads on Kubernetes and modern deployment patterns. Additionally, you will partner with development teams to architect CI/CD pipelines and implement observability and security guardrails.
Job details
Job Description Role: SRE/ DevOps Engineer Duration: 3-6 months Contract Location: Canada- Remote About the Team 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.
What you’ll do
You will lead the delivery of reliable, scalable, mission-critical services while guiding squads on Kubernetes and modern deployment patterns. Additionally, you will partner with development teams to architect CI/CD pipelines and implement observability and security guardrails.
Requirements
Candidates must have deep, hands-on experience in SRE, DevOps, or Platform Engineering across AWS and Azure environments. Proficiency in Linux, Windows, and scripting languages like Python or Bash is required, along with experience in CI/CD pipeline maintenance.
Listed skills
- Microsoft Azure · Preferred
- Kubernetes · Preferred
- CI/CD · Preferred
- Docker · Preferred
- Amazon Web Services · Preferred
- Windows · Preferred
- Linux · Preferred
- Terraform · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- SRE
- DevOps
- Kubernetes
- AWS
- Azure
- GitHub Actions
- Python
- PowerShell
- Bash
- Docker
- Linux
- Windows
- Datadog
- Terraform
- CI/CD
- AWS SageMaker
- DevSecOps
- Agentic AI
- Infrastructure Automation
- Observability
- Workflow Management
- Artificial Intelligence Development
- AWS Bedrock
- Microsoft Teams
- Compliance Implementation
- Quality Gate
- Model Context Protocol (MCP)
- .NET Framework
- Agile Methodology
- Artificial Intelligence
- Amazon Web Services
- Anomaly Detection
- Systems Engineering
- Automation
- Microsoft Azure
- Bash (Scripting Language)
- Dashboard
- Management
- Cloud Security
- Cloud Infrastructure
- Security Controls
- Incident Response
- Github
- Scalability
- ISO/IEC 27001
- Spring Framework
- Python (Programming Language)
- Log Analysis
- Machine Learning
- Node.js (Javascript Library)
Job areas
- Technology
- Software
- Engineering
- Data & Analytics
- Security & Safety
- DevOps Engineer
- Site Reliability Engineer
- Software and Applications Developers and Analysts Not Elsewhere Classified
- Computer and Information Research Scientists