Java SRE Engineer - Scalable, Reliable Production

Infosys; Phoenix (AZ); On-site; USD 110,000 - 140,000; Full time

Job summary

Infosys EAIS is seeking a Technology Consultant 2 to drive enterprise integration initiatives and contribute to One Data platform scalability. You will engage in requirements elicitation, design discussions, coding, and deployment while ensuring system stability and strong documentation.

The role emphasizes cross-functional collaboration and rapid problem solving across SDLC. The position offers exposure to cutting-edge tools—Kubernetes on OpenShift, Docker, Prometheus, Grafana, and robust

Qualifications

• Hands-on experience with SRE and cloud-scale platforms.
• Proficient in Linux, shell scripting and incident prevention.
• Strong coding skills in Java, Kotlin, Node or Go with collaboration spirit.

Responsibilities

• Contribute to requirements elicitation and document design decisions.
• Participate in coding and integrate features while maintaining stability.
• Conduct code reviews, update codebases, and maintain repositories.
• Implement test strategies, analyze results, and coordinate fixes.
• Develop training, documentation, and support frameworks for new apps.
• Resolve production issues and implement preventive reliability measures.
• Maintain records of code, testing, and support to enrich knowledge base.

Skills

SRE engineering

Linux

Shell scripting

Java

Kotlin

Node

Go

Docker

Kubernetes

OpenShift

ETCD

Envoy

Terraform

Git

Prometheus

Grafana

Splunk

Elastic

DataDog

Tools

ETCD

Envoy

Ansible

OpenShift

Docker

Kubernetes

Terraform

Git

Prometheus

Grafana

Splunk

Elastic

DataDog

JFR/VisualVM

Job description

Infosys EAIS is seeking a Technology Consultant 2 to drive enterprise integration initiatives and contribute to One Data platform scalability. You will engage in requirements elicitation, design discussions, coding, and deployment while ensuring system stability and strong documentation.

The role emphasizes cross-functional collaboration and rapid problem solving across SDLC. The position offers exposure to cutting-edge tools—Kubernetes on OpenShift, Docker, Prometheus, Grafana, and robust