Senior Associate - DevOps Engineer / DevOps Engineer Job Details | New York Life Insurance Co

New York Life is a technology-, data-, and AI-enabled mutual insurance company focused on delivering meaningful solutions. The Senior Associate DevOps Engineer will design, implement, and support secure, scalable cloud infrastructure and CI/CD solutions while enabling reliable software delivery and AI/ML workloads. The role partners with engineering, infrastructure, security, and data science teams to drive automation, observability, and continuous improvement.

Responsibilities:

• Design, implement, and optimize secure CI/CD pipelines using Harness and related DevOps tooling to improve deployment speed, quality, and reliability across multiple development teams
• Build, provision, and maintain cloud infrastructure using Terraform and AWS services while implementing Infrastructure as Code best practices to support scalable, resilient, and repeatable environments
• Develop and support containerized application platforms using Docker and Kubernetes (EKS), ensuring high availability, performance, and operational excellence across production environments
• Implement enterprise observability solutions by integrating monitoring, logging, and tracing tools such as New Relic, Prometheus, and Grafana to proactively identify, troubleshoot, and resolve system issues
• Automate operational processes using Python, Bash, PowerShell, and other scripting languages while integrating security controls, AI-enabled DevOps capabilities, and DevSecOps practices throughout the software delivery lifecycle

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience
• 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related cloud engineering role supporting enterprise applications
• Strong hands-on experience designing and managing AWS cloud environments, including services such as EC2, S3, IAM, KMS, CloudWatch, CloudTrail, Lambda, VPC, Security Groups, Route 53, ELB, EKS, ECR, Inspector, and AWS RDS
• Demonstrated expertise with Infrastructure as Code using Terraform, containerization using Docker, Kubernetes orchestration, and modern CI/CD platforms including Harness, Jenkins, Git, SonarQube, and JFrog Artifactory
• Experience developing automation using Python, Bash, PowerShell, Groovy, or Java, with the ability to build self-service DevOps capabilities and automate infrastructure provisioning and deployment workflows
• Strong analytical, troubleshooting, collaboration, and communication skills with experience working across development, operations, infrastructure, security, and data science teams
• Experience supporting AI/ML operational workloads, including deployment of machine learning models and familiarity with Generative AI, LLMs, and AI-assisted DevOps tools such as Harness AI
• Professional certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Azure DevOps Engineer Expert
• Experience with enterprise database platforms including PostgreSQL, Oracle, and AWS RDS, as well as distributed systems observability using Prometheus, Grafana, and New Relic
• Experience supporting legacy application modernization, including integration with Java, .NET, Angular, COBOL, and Mainframe technologies