SRE/DevOps Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead the delivery of dependable, scalable, and mission-critical services.

• Provide guidance to squads on Kubernetes and contemporary deployment patterns.

• Collaborate with Fitch Ratings development squads and Operations to design and enhance service builds and DevOps tooling.

• Promote operational excellence throughout services.

• Architect and oversee GitHub Actions CI/CD with quality gates, canary/blue-green strategies, and AI-assisted redeployment checks.

• Manage Datadog observability, encompassing SLIs/SLOs, dashboards, alerting, and Microsoft Teams integrations.

• Mitigate incidents through telemetry-driven automation and blameless postmortems.

• Advocate for AI-enabled operations utilizing AWS Bedrock, SageMaker, and Model Context Protocol for log analysis, anomaly detection, incident triage, and workflow orchestration.

• Set up 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.

• Collaborate with Security and Risk on cloud governance and compliance.

⛳️ Requirements

• Candidates must be located in Canada.

• Extensive hands-on experience in SRE, DevOps, or Platform Engineering within AWS and Azure environments.

• Proven track record of operating Docker and Kubernetes in production settings.

• Highly skilled in managing Linux and Windows systems.

• Enterprise-level experience in supporting IIS/.NET applications and Java Spring Boot services.

• Proficient in building and maintaining CI/CD pipelines, primarily using GitHub Actions.

• Experience in DevSecOps, integrating security scans, policy-as-code, and compliance gates.

• Ability to script in Python, PowerShell, or Bash.

• Familiarity with cloud security best practices, including IAM, secrets management, and container/image scanning.

• Understanding of networking, storage, DNS, and APM/telemetry tools.

• Practical experience with agentic AI for operations, incident triage, runbooks, and change management.

• Experience in supporting AI/ML workloads at scale, including SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving.

• Experience with policy-as-code utilizing OPA and compliance frameworks such as CIS, NIST, and ISO 27001.

• Experience implementing AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and MCP.

• Hands-on Agile delivery experience with participation in stand-ups and sprint ceremonies.

🏝️ Benefits

• Remote work arrangement.

• Contract opportunity for 3–6 months.