DevOps / ML Ops Engineer automating build and deployment of data and ML services with a focus on regulatory compliance. Working with MUFG to ensure secure and efficient operations.
Responsibilities
Automating, orchestrating, and optimizing the build, test, and deployment of data and machine learning services
Design, implement, and manage CI/CD pipelines
Leverage Infrastructure as Code (IaC) and artifact management systems
Implement blue-green and canary deployment strategies
Develop robust monitoring solutions for logs, metrics, and distributed traces
Establish and maintain Service Level Objectives (SLOs)
Create and maintain incident response playbooks
Manage comprehensive evidence capture, approval tracking, and change controls
Requirements
4+ years of experience in DevOps or SRE roles, ideally within financial services or other regulated industries.
Expertise in scripting languages, Infrastructure as Code, and cloud/platform automation tools.
Strong understanding of security best practices and regulatory controls.
Proven experience implementing CI/CD pipelines with segregation of duties and CAB integration (preferred).
Hands-on experience supporting regulated incident management and rollback processes (preferred).
Knowledge of financial data privacy, security standards, and risk management frameworks (preferred).
Benefits
Comprehensive health and wellness benefits
Retirement plans
Educational assistance and training programs
Income replacement for qualified employees with disabilities
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