Java SRE

re-zoo-me; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Job summary

re-zoo-me in Singapore is seeking a Java SRE with 8-15 years of IT experience and a strong background in Java/J2EE to join our production platform operations.

You will support 24x7 environments, implement chaos engineering, RCA, and end-to-end automation using Kubernetes, OpenShift, Docker, and IaC tools such as Terraform and Ansible. Knowledge of monitoring and APM tools is essential for performance and reliability.

Qualifications

• 8 to 15 years of IT experience with strong JAVA/J2EE
• Minimum 5+ years in SRE, Production Support, Platform Engineering, or DevOps
• Experience supporting mission-critical banking or financial systems
• Strong exposure to 24x7 production environments with stringent SLA/SLO commitments
• Kubernetes, OpenShift, Docker containerization
• Infrastructure as Code using Terraform, Ansible, CloudFormation
• Capacity planning and performance engineering
• Root Cause Analysis (RCA) and Problem Management
• Chaos Engineering and Resilience Testing
• Prometheus, Grafana, ELK/Splunk
• APM tools (Dynatrace/AppDynamics/New Relic)
• End-to-end operational automation
• Self-healing platform implementation
• Jenkins, GitHub Actions, GitLab CI, ArgoCD, SonarQube
• Fair knowledge on Kafka, Hadoop/Cloudera ecosystem, Spark

Skills

Java/J2EE

SRE/DevOps

Banking systems

24x7 production

Kubernetes

OpenShift

Docker

Terraform

Ansible

CloudFormation

Capacity planning

Root Cause Analysis

Chaos Engineering

Prometheus

Grafana

ELK/Splunk

Dynatrace

AppDynamics

New Relic

Automation

Self-healing

Jenkins

GitHub Actions

GitLab CI

ArgoCD

SonarQube

Kafka

Hadoop/Cloudera

Spark

Job description

Role: Java SRE

Location: Singapore

Experience: 8-15 Years

Requirements

• 8 to 15 years of IT experience with strong expertise in JAVA/J2EE
• Minimum 5+ years in SRE, Production Support, Platform Engineering, or DevOps
• Experience supporting mission-critical banking or financial systems
• Strong exposure to 24x7 production environments with stringent SLA/SLO commitments
• Kubernetes, OpenShift, Docker containerization
• Infrastructure as Code using Terraform, Ansible, CloudFormation
• Capacity planning and performance engineering
• Root Cause Analysis (RCA) and Problem Management
• Chaos Engineering and Resilience Testing
• Prometheus, Grafana, ELK/Splunk
• APM tools (Dynatrace/AppDynamics/New Relic)
• End-to-end operational automation
• Self-healing platform implementation
• Jenkins, GitHub Actions, GitLab CI, ArgoCD, SonarQube
• Fair knowledge on Kafka, Hadoop/Cloudera ecosystem, Spark