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.
Skills Required
- Hands-on SRE, DevOps, or Platform Engineering experience across AWS and Azure
- Production experience operating Docker and Kubernetes
- Proficiency administering Linux and Windows systems
- Enterprise experience supporting IIS and .NET applications
- Enterprise experience supporting Java Spring Boot services
- Experience building and maintaining CI/CD pipelines, primarily with GitHub Actions
- Experience integrating DevSecOps security scans, policy-as-code, and compliance gates
- Proficiency scripting with Python, PowerShell, or Bash
- Experience with cloud security, IAM, secrets management, and container or image scanning
- Understanding of networking, storage, DNS, APM, and telemetry tooling
- Experience with agentic AI for operations and human-in-the-loop controls
- Experience supporting AI/ML workloads at scale, including SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes model serving
- Experience implementing OPA policy-as-code and compliance frameworks such as CIS, NIST, or ISO 27001
- Experience using AWS Bedrock, SageMaker, and Model Context Protocol for CI/CD, observability, or incident response
- Hands-on Agile delivery experience and participation in stand-ups and sprint ceremonies
What We Do
Technology Management Solutions (TMS, LLC), headquartered in Parsippany, New Jersey, is a premier IT company specializing in digital product engineering and innovative technology solutions. Since our inception in 2021, we have empowered businesses across industries—Financial Services, Retail, Medical, Entertainment, Manufacturing, and Automotive—to achieve their digital transformation goals. Our mission is to design and deliver cutting-edge solutions that drive growth, streamline operations, and enhance modern digital experiences.At TMS, we partner with our clients throughout the entire product development lifecycle, from ideation to commercialization. Our expertise spans next-generation technologies, including Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and custom software development. With tailored engagement models, we accelerate product development, ensuring faster time-to-market and measurable success.
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