Job Title: DevOps Engineer with Java
Location: Dallas, TX / Basking Ridge, NJ (Hybrid/Onsite)
Job Summary
Incedo is seeking a skilled DevOps Engineer with Java experience to support the development, deployment, monitoring, and maintenance of scalable enterprise applications. The ideal candidate will possess strong expertise in DevOps practices, CI/CD automation, cloud technologies, containerization, Kafka-based application monitoring, and Java-based applications.
Key Responsibilities
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Design, implement, and maintain CI/CD pipelines for Java-based applications.
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Collaborate with development teams to automate build, test, and deployment processes.
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Support Java/Spring Boot microservices running in cloud environments.
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Manage and optimize containerized applications using Docker, Kubernetes, and OpenShift.
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Deploy and maintain applications on AWS, Azure, or GCP platforms.
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Monitor system performance, troubleshoot issues, and ensure high availability.
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Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.
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Configure and manage Jenkins, GitHub Actions, Maven, and other DevOps tools.
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Support logging, monitoring, and observability using tools such as Splunk, Prometheus, Grafana, ELK, or Dynatrace.
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Monitor Kafka clusters, topics, consumer groups, and application performance metrics.
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Develop and maintain OpenShift YAML configurations for deployments, services, routes, and application scaling.
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Create and maintain Grafana dashboards for file-processing monitoring and operational metrics.
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Support regression testing and validation for applications processing CSV, JSON, and XML files.
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Work with Kafka-integrated applications and validate end-to-end data flow, messaging, and architecture.
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Collaborate with business and technical teams to support Telecom domain applications and workflows.
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Work closely with cross-functional teams in an Agile environment.
Required Skills
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7+ years of overall IT experience with at least 4+ years in DevOps.
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Strong experience with Java and Spring Boot applications.
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Hands-on experience with Jenkins, Git, Maven, and CI/CD pipelines.
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Experience with Docker, Kubernetes, OpenShift, and container orchestration.
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Strong knowledge of cloud platforms (AWS preferred).
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Experience with Infrastructure as Code tools such as Terraform or CloudFormation.
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Familiarity with Linux/Unix environments and shell scripting.
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Experience with monitoring and logging tools such as Splunk, Grafana, ELK, or Prometheus.
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Strong understanding of Microservices architecture and REST APIs.
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Hands-on experience with Kafka metrics monitoring, Kafka ecosystem components, and event-driven architectures.
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Experience creating and managing OpenShift YAML files for application deployments and configurations.
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Experience building Grafana dashboards and monitoring file-processing workflows.
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Strong knowledge of regression testing for CSV, JSON, and XML file-processing applications.
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Experience validating Kafka-integrated application flows, messaging architecture, and end-to-end data processing.
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Telecom domain knowledge with understanding of telecom systems and architecture.
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Strong problem-solving and communication skills.
Preferred Skills
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Experience with Telecom domain projects.
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Knowledge of Ansible and configuration management tools.
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Experience with Kafka administration, monitoring, and troubleshooting.
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Experience with security and DevSecOps practices.
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Familiarity with Python scripting is a plus.
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Exposure to enterprise-scale event-driven and distributed architectures.
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Keywords
Java, Spring Boot, DevOps, Jenkins, Docker, Kubernetes, OpenShift, OpenShift YAML, AWS, Terraform, CI/CD, Maven, Git, Linux, Splunk, Prometheus, Grafana, Kafka, Kafka Monitoring, File Processing, CSV, JSON, XML, Regression Testing, Telecom Domain, Microservices, Event-Driven Architecture.
