SRE Engineer with Java

Tech3pillars Technologies; Phoenix (AZ); On-site; USD 120,000 - 160,000; Full time

Job summary

Tech3pillars Technologies in Phoenix, AZ seeks a hands-on Java + SRE Engineer to bolster production reliability and observability. You will work on Java/Spring Boot applications, implement RCA processes, and optimize CI/CD and deployments.

You will leverage AI-assisted tooling and modern observability stacks (Splunk, Elasticsearch/Kibana) while ensuring SLA/SLO adherence and operational excellence across Kubernetes/OpenShift environments.

Qualifications

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

Responsibilities

• Develop 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 RCA and drive corrective and preventive actions for recurring incidents.
• Support Incident, Problem, and Change Management and SLA/SLO adherence.
• Monitor health using Splunk, Elasticsearch/Kibana, and similar observability tools; create dashboards and alerts.
• Work with Kubernetes/OpenShift and CI/CD pipelines; manage deployments and production validation.
• Identify opportunities to automate repetitive operational activities and improve reliability.
• Use AI-assisted engineering tools for code understanding, debugging, log analysis, and automation.

Skills

Java/J2EE

Spring Boot

REST APIs

Microservices

SRE

Observability

Splunk

Elasticsearch/Kibana

Kubernetes/OpenShift

CI/CD

AI-assisted tooling

GenAI

Tools

GitHub Copilot

LLMs

Kubernetes

Job description

Role: SRE Engineer + java
Location: Phoenix, AZ

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.