Java Engineer – SRE & GenAI

We are looking for a hands-on Java + SRE Engineer with strong application development, production support, observability, and troubleshooting experience. The candidate should have solid Java/Spring Boot fundamentals along with practical knowledge of Generative AI and AI-assisted engineering tools to accelerate development, problem solving, automation, and learning of new technologies.

• Develop, enhance, troubleshoot, and support enterprise applications using Java/J2EE, Spring Boot, REST APIs, and microservices.
• Provide SRE and production engineering support for business-critical applications and services.
• Troubleshoot complex production issues across application, API, infrastructure, database, and network layers.
• Perform Root Cause Analysis (RCA) and drive corrective and preventive actions for recurring incidents.
• Support Incident, Problem, and Change Management processes and work with application SLA/SLOs.
• Monitor application and platform health using Splunk, Elasticsearch/Kibana, or similar observability platforms.
• Create and enhance dashboards, alerts, log queries, and health monitoring.
• Support applications running on Kubernetes/Open Shift and enterprise Linux environments.
• Work with CI/CD pipelines, release/deployment processes, and production validation.
• Identify opportunities to automate repetitive operational activities and improve application reliability.
• Use AI-assisted engineering tools appropriately for code understanding, debugging, log analysis, documentation, testing, and automation.
• Quickly ramp up on new applications, technologies, APIs, and support processes based on project requirements.

• Strong hands-on experience with Java/J2EE.
• Strong knowledge of Spring Boot, REST APIs, and microservices.
• Experience debugging production Java applications, including logs, exceptions, API failures, and performance issues.
• Understanding of application design, integrations, and distributed systems.

• Strong production support and troubleshooting experience.
• Knowledge of Incident, Problem, and Change Management.
• Experience with RCA, SLA/SLO, application availability, reliability, and production stability.
• Ability to identify recurring operational issues and implement engineering or automation-based solutions.

• Hands-on experience with Splunk.
• Knowledge of Elasticsearch/Kibana or similar observability tooling.
• Experience with application monitoring, dashboards, alerts, log analysis, and production diagnostics.
• Good understanding of Kubernetes/Open Shift.
• Knowledge of CI/CD pipelines, application deployments, and release management.
• Understanding of networking, certificates, application connectivity, and traffic-routing concepts.
• Scripting/automation experience is preferred.

• Working knowledge of Generative AI, LLMs, and AI-assisted software engineering.
• Experience using tools such as Git Hub Copilot or equivalent AI coding assistants.
• Ability to effectively use AI for:
  • Code understanding and development
  • Debugging and troubleshooting
  • Log and error analysis
  • Unit/test-case generation
  • Technical documentation
  • Script and automation development
  • Understanding unfamiliar applications and codebases
• Basic understanding of prompt engineering and effective interaction with LLM-based tools.
• Awareness of RAG, AI agents/agentic AI, and AI-assisted automation is a plus.
• Ability to critically review and validate AI-generated code or recommendations before using them in production.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.