What are the responsibilities and job description for the Placement Role - DevOps / Platform Engineer with AI/ML exp - Hybrid - NY position at Infinity Tech Group Inc?
W2/1099 Role: DevOps / Platform Engineer with AI/ML exp (Hybrid 3 Days Onsite/ Week)
Financial Client
Location: New York City, NY
Duration: 12 Months
Job Description:
Seeking a DevOps / Platform Engineer for a hybrid position (Tuesday-Thursday onsite) with a Major Financial Services Firm located in New York, NY. This is a contract opportunity.
We are seeking a DevOps Engineer to design, build, and maintain scalable DevOps infrastructure and CI/CD pipelines supporting AI and data-driven applications. This role will focus on DevOps, automation, and platform engineering practices to enable reliable model development, deployment, and operations across environments. The engineer will work with application teams to streamline workflows and ensure secure, production-ready deployments.
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
- Develop infrastructure-as-code (IaC) using tools such as Terraform to provision Azure resources
- Understand and implement DevOps best practices, including automated testing, artifact management, release automation, and rollback strategies
- Create reusable pipeline templates and platform components to standardize deployment patterns across teams
- Manage containerised 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
Desired skills:
- Experience with financial services environments
- Any exposure to AI technologies
- Strong communication skills with the ability to articulate thought processes and rationale for technical decisions