Job Title : DevOps Engineer (with Java Troubleshooting Expertise)
Location : Remote
Job Type : Full-time
Salary : $55K–$63K yearly.
About Us :
We are a cutting-edge technology company looking for a DevOps Engineer with strong Java troubleshooting experience to join our dynamic team. You will be responsible for managing Jenkins pipelines, ensuring smooth CI / CD workflows, and diving into Java application-level debugging in a fast-paced environment.
As a key member of our team, you will collaborate with engineers to ensure high-quality software delivery and seamless troubleshooting for Java applications.
Key Responsibilities :
- Debug Java applications at the code and JVM level, diagnosing memory leaks, performance bottlenecks, and optimizing performance.
- Work closely with developers to resolve Java application issues , including database query slowness , OutOfMemoryError , and CPU spikes .
- Conduct root cause analysis for application-level issues in production environments .
- Build and maintain Jenkins pipelines for automated testing, deployment, and integration.
- Troubleshoot pipeline failures, dependencies, and environment issues.
- Ensure continuous delivery and integration across multiple environments.
- Manage cloud resources (AWS, GCP, or Azure), ensuring efficient use of cloud technologies like Docker , Kubernetes , and Terraform .
- Handle containerized environments and Kubernetes deployments.
- Perform proactive infrastructure monitoring and troubleshoot issues using Jenkins , Docker , and Kubernetes .
- Work with cross-functional teams to troubleshoot Java application issues and ensure smooth DevOps workflows.
- Provide guidance on best practices for DevOps and Java application deployment.
Key Requirements :
- Strong experience in Java troubleshooting and performance optimization .
- Proficient in JVM tuning , diagnosing memory leaks , and managing thread contention .
- Strong experience in Java application debugging in Jenkins pipelines .
- Hands-on experience with Jenkins for CI / CD pipeline configuration and maintenance.
- Proficiency in Docker , Kubernetes , and cloud-based infrastructure (AWS, GCP, Azure).
- Experience in cloud automation using Terraform and CloudFormation .
- Knowledge of CI / CD best practices and pipeline troubleshooting .
- Database Knowledge (optional but beneficial) :
- Experience with relational databases such as PostgreSQL , MySQL , or NoSQL (MongoDB, DynamoDB).
- Ability to work with cloud-based database services like AWS RDS , GCP Cloud SQL , or Azure SQL .
- Experience with database performance optimization (e.g., query optimization, indexing).
- Additional Skills :
- Experience in troubleshooting cloud applications , containerized environments, and infrastructure issues.
- Familiarity with version control systems such as Git .
- Strong communication skills with a collaborative mindset.
- Ability to work under pressure and meet deadlines.
Preferred Qualifications :
- Experience with Agile methodologies (Scrum, Kanban).
- Cloud certification (AWS, GCP, or Azure).
- Knowledge of Infrastructure as Code (IAC) and configuration management tools (e.g., Ansible , Chef , Puppet ).
Ready to take your DevOps career to the next level? Apply today and join a team dedicated to innovation and growth!