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Java DevOps Engineer — Dallas, TX — Hybrid
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2025-12-31
Listing for:
PRIMUS Global Services Inc.
Full Time, Part Time
position Listed on 2025-12-31
Job specializations:
-
IT/Tech
Cloud Computing, Data Engineer
Job Description & How to Apply Below
Java Dev Ops Engineer – 66813
Pay Range – $60 – $63/hr
One of our clients is looking for a Java Dev Ops 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.
- 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 Git Hub Actions, Git Hub CI, Git Ops
- Containerization & orchestration using Kubernetes, Helm Charts
- Experience configuring monitoring & observability Data Dog preferred, Splunk would also be considered
- Experience with cloud migrations & deployments Azure preferred
- 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 Graph
QL, 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 Git Hub 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
For immediate consideration:
Pavan
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