PRIMUS Global Services Inc.
Java DevOps Engineer — Dallas, TX — Hybrid — 66813
PRIMUS Global Services Inc., Dallas, Texas, United States, 75215
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
For immediate consideration: Pavan
#J-18808-Ljbffr
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
For immediate consideration: Pavan
#J-18808-Ljbffr