Java DevOps Engineer - 66813

Pay Range - $60 - $63/hr

One of our clients is looking for a Java DevOps Engineer to join their etam in Dallas, TX.

IMP NOTE:-

• Looking for at least 12 years of experience.
• Prefer hybrid 2-3 days a week in Dallas but may be open to remote first as long as they live in the area and are willing to come in as needed.

Must Haves:

• 12+ years of experience they are particular on number of years
  • Should come from a Java development background, not an infrastructure background
  • At least 1 of the 2 resources needs to have strong Python experience in addition to Java ability to write Python scripts for workflow automation, automated deployments, etc.
• Experience with GitHub Actions, GitHub CI, GitOps
• Containerization & orchestration using Kubernetes, Helm Charts
• Experience configuring monitoring & observability DataDog preferred, Splunk would also be considered
• Experience with cloud migrations & deployments Azure preferred

Project:

• These teams develop and manage 500+ data APIs used by 30+ consumers across Client (any Client site, transactions, marketing, money movement, customer profiles)
• The past few years have been focused on modernizing existing APIs to prepare them for migration to Azure which is what the incoming resources will focus on
• All APIs are built in Java with GraphQL, Spring Boot, Cassandra and deployed in Kubernetes cluster, CI/CD Jenkins pipeline for deployment

These resources should come from a development background, but will be focused on deployment, containerization, and orchestration

Responsibilities:

• Build and maintain GitHub Actions workflows for continuous integration and deployment.
• Design and maintain Docker images and Kubernetes clusters, use Helm charts for application packaging and deployment, troubleshoot and optimize Kubernetes workloads.
• Develop automation scripts in Python for workflows, monitoring, and infrastructure tasks.
• Configure and maintain observability tools. Set up dashboards, alerts, and log aggregation for proactive monitoring.
• Implement security best practices in CI/CD pipelines and Kubernetes clusters.
• Participate in requirements gathering, design discussions, code reviews, etc.
• May need to lead offshore developers