DevOps Engineer with Java

Qode•Arlington, TX

6h•Hybrid

About The Position

Incedo is seeking a skilled DevOps Engineer with Java experience to support the development, deployment, and maintenance of scalable enterprise applications. The ideal candidate will possess strong expertise in DevOps practices, CI/CD automation, cloud technologies, containerization, and Java-based applications.

Requirements

7+ years of overall IT experience with at least 4+ years in DevOps.
Strong experience with Java and Spring Boot applications.
Hands-on experience with Jenkins, Git, Maven, and CI/CD pipelines.
Experience with Docker, Kubernetes, OpenShift, and container orchestration.
Strong knowledge of cloud platforms (AWS preferred).
Experience with Infrastructure as Code tools such as Terraform or CloudFormation.
Familiarity with Linux/Unix environments and shell scripting.
Experience with monitoring and logging tools such as Splunk, Grafana, ELK, or Prometheus.
Understanding of Microservices architecture and REST APIs.
Strong problem-solving and communication skills.

Nice To Haves

Experience with Telecom domain projects.
Knowledge of Ansible and configuration management tools.
Exposure to Kafka and event-driven architectures.
Experience with security and DevSecOps practices.
Familiarity with Python scripting is a plus.

Responsibilities

Design, implement, and maintain CI/CD pipelines for Java-based applications.
Collaborate with development teams to automate build, test, and deployment processes.
Support Java/Spring Boot microservices running in cloud environments.
Manage and optimize containerized applications using Docker and Kubernetes.
Deploy and maintain applications on AWS, Azure, or GCP platforms.
Monitor system performance, troubleshoot issues, and ensure high availability.
Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.
Configure and manage Jenkins, GitHub Actions, Maven, and other DevOps tools.
Support logging, monitoring, and observability using tools such as Splunk, Prometheus, Grafana, ELK, or Dynatrace.
Work closely with cross-functional teams in an Agile environment.