Job Summary
The Technology Consultant - Site Reliability Engineer (SRE) will provide hands-on expertise in Kubernetes, observability, Java, and production reliability for highly available and distributed enterprise applications. The role will focus on application and platform support, complex production troubleshooting, automation, incident management, and reliability improvements. The engineer will collaborate closely with application engineering, DevOps, cloud, infrastructure, and support teams to improve application availability, scalability, performance, resilience, and operational efficiency.
Key Responsibilities
• Manage and support business-critical applications running on Kubernetes and containerized platforms.
• Monitor application and platform health and proactively identify reliability, availability, and performance issues.
• Troubleshoot Kubernetes deployments, pods, services, networking, configurations, and application issues.
• Implement and enhance observability solutions covering metrics, logs, traces, dashboards, and alerting.
• Support and troubleshoot Java, Spring Boot, and microservices-based applications.
• Perform root cause analysis (RCA) for critical production incidents and implement permanent corrective actions.
• Define and monitor SLIs, SLOs, SLAs, Error Budgets, and other reliability metrics.
• Automate repetitive operational activities and identify opportunities to reduce operational TOIL.
• Participate in incident, problem, change, and production release management activities.
• Collaborate with engineering teams to improve application resilience, performance, scalability, and fault tolerance.
• Support CI/CD pipelines and improve application deployment and release processes.
• Participate in capacity planning, performance tuning, disaster recovery, and production readiness reviews.
• Develop and maintain operational runbooks, troubleshooting procedures, and technical documentation.
Required Qualifications
• 6+ years of experience in Site Reliability Engineering, DevOps, or Production Engineering/Support.
• 4+ years of hands-on experience with Kubernetes, Docker, and containerized application environments.
• 4+ years of experience with Java, Spring Boot, microservices, and REST APIs.
• 3+ years of experience with observability and monitoring tools such as Splunk, Dynatrace, Prometheus, Grafana, Datadog, or ELK.
• Strong understanding of SLI, SLO, SLA, Error Budgeting, and SRE principles.
• Strong analytical, troubleshooting, communication, and problem-solving skills.
Preferred Qualifications
• Experience with Kubernetes deployment and troubleshooting tools such as Helm.
• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of Linux/Unix and Shell scripting.
• Experience with Kafka, IBM MQ, or other messaging technologies.
• Knowledge of Terraform, Ansible, or other Infrastructure as Code tools.
• Experience with Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Experience implementing distributed tracing and application performance monitoring.
• Knowledge of incident management and ITIL processes.
• Experience supporting high-volume, highly available, distributed enterprise applications.
