Senior Associate DevOps Engineer

Senior Associate - DevOps Engineer / DevOps Engineer

Location: Remote,New York,United States

Department: Tech Data AI Ventures

Location Designation: Hybrid - 3 days per quarter

Role Overview

The DevOps Engineer is responsible for designing, implementing, and supporting secure, scalable, and highly automated cloud infrastructure and CI/CD solutions that enable efficient software delivery across the enterprise. This role partners closely with software engineers, infrastructure teams, security, and data science teams to improve application reliability, accelerate deployment pipelines, and enable AI/ML workloads in production. The ideal candidate brings deep expertise in cloud technologies, Infrastructure as Code, container orchestration, and DevSecOps practices while driving operational excellence through automation, monitoring, and continuous improvement.

What You’ll Do

• 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.

What You’ll Bring

Required Skills

• Bachelors 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.

Preferred Skills

• 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.

Pay Transparency

Salary Range: $90,000-$128,500

Overtime eligible: Exempt

Discretionary bonus eligible: Yes

Sales bonus eligible: No