Java Developer

Job Title: Java Developer / Support Engineer

About the Role:

Key Responsibilities:

• Design, develop, and maintain internal automation tools using Java/J2EE.
• Write scripts and automation utilities in any language or scripts to streamline operational workflows.
• Plan and execute release deployments, ensuring smooth rollouts with minimal downtime.
• Manage and troubleshoot containerized workloads using Kubernetes and Docker.
• Drive reliability initiatives - proactively identify issues, bottlenecks, and failure points in production systems.
• Perform root cause analysis (RCA) for incidents and drive long-term fixes.
• Develop rollout and rollback plans for changes to minimize risk to production.
• Participate in on-call rotations and respond to production incidents in a timely manner.
• Collaborate with development teams to improve system design for reliability, scalability, and performance.
• Contribute to capacity planning, performance tuning, and SLA/SLO/error budget tracking.

Required Skills:

• Strong programming skills in Java/J2EE.
• Strong programming skills in Spring/Springboot framework.
• Experience with release and deployment management practices.
• Working knowledge of Kubernetes and Docker.
• Strong analytical and troubleshooting skills, with a focus on finding root causes of production issues.
• Experience creating and executing rollout/rollback plans for production changes.
• Good understanding of reliability engineering principles (SLIs, SLOs, error budgets, incident management).

Nice to Have:

• Hands-on scripting experience in Python.
• Work with AWS cloud infrastructure to deploy, monitor, and scale services.
• Working knowledge of AWS services.
• Experience with CI/CD pipelines.
• Exposure to infrastructure-as-code tools.
• Prior on-call/production support experience in a high-availability environment.
• Hands-on experience with Splunk for log analysis and monitoring.
• Hands-on experience with Grafana for dashboarding and visualization.
• Hands-on experience with Prometheus for metrics and alerting.
• Build and maintain dashboards, alerts, and searches in Splunk for monitoring and troubleshooting.
• Build and maintain dashboards and visualizations in Grafana for real-time system observability.
• Configure and manage metrics collection, alerting rules, and exporters using Prometheus.

• Strong programming skills in Java/J2EE.
• Strong programming skills in Spring/Springboot framework.
• Experience with release and deployment management practices.
• Working knowledge of Kubernetes and Docker.
• Strong analytical and troubleshooting skills, with a focus on finding root causes of production issues.
• Experience creating and executing rollout/rollback plans for production changes.
• Good understanding of reliability engineering principles (SLIs, SLOs, error budgets, incident management).

Nice to Have:

• Hands-on scripting experience in Python.
• Work with AWS cloud infrastructure to deploy, monitor, and scale services.
• Working knowledge of AWS services.
• Experience with CI/CD pipelines.
• Exposure to infrastructure-as-code tools.
• Prior on-call/production support experience in a high-availability environment.
• Hands-on experience with Splunk for log analysis and monitoring.
• Hands-on experience with Grafana for dashboarding and visualization.
• Hands-on experience with Prometheus for metrics and alerting.
• Build and maintain dashboards, alerts, and searches in Splunk for monitoring and troubleshooting.
• Build and maintain dashboards and visualizations in Grafana for real-time system observability.
• Configure and manage metrics collection, alerting rules, and exporters using Prometheus.