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Java With SRE Engineer with AI Knowledge

IT-SCIENTPhoenix, AZ🇺🇸United StatesPosted Oct 21, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Phoenix, AZ, United States
Posted
21 hours ago
MicroservicesSpringSpring BootGitSplunkJavaKibanaLLMGenerative AIRESTKubernetesPrompt EngineeringCI/CDLinuxRAG

Job Description

Role Summary : 
  • 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.
Key Responsibilities :
  • 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/OpenShift 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.
Required Technical Skills :
 
Java / Application Engineering
  • 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.
SRE / Production Engineering
  • 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.
Observability
  • Hands-on experience with Splunk.
  • Knowledge of Elasticsearch/Kibana or similar observability tooling.
  • Experience with application monitoring, dashboards, alerts, log analysis, and production diagnostics.
  • Cloud / Platform / DevOps
  • Good understanding of Kubernetes/OpenShift.
  • 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.
  • AI / GenAI Knowledge
  • Working knowledge of Generative AI, LLMs, and AI-assisted software engineering.
  • Experience using tools such as GitHub 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.
Preferred Candidate Profile 
  • A strong Java engineer with an SRE mindset who can work across development and production environments. 
  • The candidate should be comfortable moving between code-level debugging, APIs, observability, Kubernetes/OpenShift, production incidents, RCA, and automation.
  • The candidate should also be comfortable using AI as an engineering accelerator, while having sufficient Java and SRE fundamentals to independently validate solutions and rapidly ramp up on unfamiliar technologies.

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