Placement Role - DevOps / Platform Engineer with AI/ML exp - Hybrid - NY

Responsibilities

• Design, implement, and maintain CI/CD pipelines in GitLab for application, data, and AI/ML workloads
• Build automated pipeline templates and standards (Gitlab CI/CD Catalog) for different stages in the pipeline, such as model training, validation, packaging, and deployment
• Create reusable pipeline templates and platform components to standardize deployment patterns across teams
• Manage containerized workloads using Docker and Kubernetes (AKS/EKS), including building pipelines and deployment automation
• Establish monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Application Insights
• Ensure platform security, identity management, and compliance by integrating Azure RBAC, Key Vault, and policy controls into pipelines
• Collaborate with engineering and data teams to optimize performance, reduce deployment time, and improve reliability
• Support version control workflows and branching strategies using GitLab
• Troubleshoot pipeline failures, infrastructure issues, and deployment challenges across cloud environments
• Support and administer internal DevOps tool applications both hosted in AWS and SaaS
• Leverage AI tools (Claude Code, Perplexity, ChatGPT, etc.) to design, orchestrate and implement various DevOps solutions
• Help the team improve our internal infrastructure used to host DevOps applications such as Jira, Confluence, Nexus repository manager and more

Requirements

• 6+ years of experience in DevOps, platform engineering, or an equivalent role
• Strong experience with DevOps practices (pipelines, source code management, artifacts, monitoring, security scans)
• Experience building CI/CD pipelines for applications, microservices, or AI/ML systems
• Proficiency with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates
• Experience with containerization (Docker) and orchestration platforms such as Kubernetes / AKS
• Strong scripting skills using Python
• Experience implementing solutions in Azure
• Familiarity with Git workflows and version control best practices