Java + SRE Engineer

Tech3pillars Technologies
Phoenix, AZ, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Static Program Analysis Continuous Integration Software Debugging Linux Elasticsearch Java Platform Enterprise Edition (J2EE) Log Analysis OpenShift Release Management
+17 more
Reliability Engineering Software Tools Software Engineering Scripting GitHub Copilot Retrieval-Augmented Generation Large Language Models Prompt Engineering Spring-boot Generative AI AI Coding Agents Agentic-AI Kubernetes Kibana Restful APIs Splunk Microservices

Job description

Strong Java Engineer with an SRE mindset, capable of handling application development, production incidents, observability, Kubernetes, RCA, and automation while effectively using AI tools to improve engineering productivity. Thanks & Regards Technical Recruiter Subodh Kumar

Requirements

We are looking for a hands-on Java + SRE Engineer with strong experience in Java application development, production support, troubleshooting, observability, and reliability engineering. The candidate should also have working knowledge of Generative AI and AI-assisted engineering tools., * 5+ years of hands-on Java/J2EE, Spring Boot, REST APIs, and Microservices

  • Strong production support, troubleshooting, RCA, Incident/Problem Management
  • Experience with SLA/SLO, application reliability, and performance
  • Hands-on Splunk; knowledge of ELK/Elasticsearch/Kibana
  • Experience with Kubernetes/OpenShift and Linux
  • Knowledge of CI/CD, deployments, and release management
  • Understanding of APIs, networking, certificates, and connectivity
  • Scripting/automation experience preferred
  • Working knowledge of GenAI, LLMs, and AI coding assistants such as GitHub Copilot
  • Basic understanding of Prompt Engineering, RAG, and AI Agents is a plus
  • Ability to use AI for debugging, code analysis, testing, log analysis, and automation

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