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Tech Stack
Tools & technologiesAWSAzureCloudDNSDockerJavaKubernetesLinuxNode.jsPythonSpringSpring BootSpringBoot.NET
About the role
Key responsibilities & impact- Lead delivery of reliable, scalable, mission-critical services
- Guide squads on Kubernetes and modern deployment patterns
- Partner with Fitch Ratings development squads and Operations to design and advance service builds and DevOps tooling
- Drive operational excellence across services
- Architect and govern GitHub Actions CI/CD with quality gates, canary/blue-green strategies, and AI-assisted redeploy checks
- Own Datadog observability, including SLIs/SLOs, dashboards, alerting, and Microsoft Teams integrations
- Reduce incidents through telemetry-driven automation and blameless postmortems
- Champion AI-enabled operations using AWS Bedrock, SageMaker, and Model Context Protocol for log analysis, anomaly detection, incident triage, and workflow orchestration
- Establish AI operations adoption guardrails
- Define and enforce cloud guardrails and security controls, including SCPs/IAM boundaries, OPA policies, tagging, and centralized logging with AWS Config, CloudTrail, and Security Hub
- Partner with Security and Risk on cloud governance and compliance
Requirements
What you’ll need- Canada Candidates only
- Deep, hands-on experience in SRE, DevOps, or Platform Engineering across AWS and Azure
- Strong track record operating Docker and Kubernetes in production environments
- Highly proficient in administering Linux and Windows
- Enterprise-level experience supporting IIS/.NET applications and Java Spring Boot services
- Experience building and maintaining CI/CD pipelines, primarily GitHub Actions
- DevSecOps experience integrating security scans, policy-as-code, and compliance gates
- Ability to script in Python, PowerShell, or Bash
- Experience with cloud security best practices, including IAM, secrets management, and container/image scanning
- Understanding of networking, storage, DNS, and APM/telemetry tooling
- Practical experience with agentic AI for operations, incident triage, runbooks, and change management
- Experience supporting AI/ML workloads at scale, including SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving
- Experience with policy-as-code using OPA and compliance frameworks including CIS, NIST, and ISO 27001
- Experience applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and MCP
- Hands-on Agile delivery experience and participation in stand-ups and sprint ceremonies
Benefits
Comp & perks- Remote work arrangement
- Contract opportunity for 3–6 months