Site Reliability Engineer (Dynatrace, GenAI, Prometheus, L2 Support, Splunk) - Part-Time

Responsibilities

• Design, implement, and continuously improve Site Reliability Engineering (SRE) practices to ensure highly available, scalable, and resilient production systems.
• Provide L2 production support by troubleshooting application, infrastructure, and platform issues while ensuring compliance with SLA and SLO commitments.
• Monitor, maintain, and optimize Microsoft Azure environments, including Azure Kubernetes Service (AKS), Azure Monitor, and Log Analytics.
• Support and troubleshoot Java and Spring Boot applications by analyzing logs, JVM performance, REST API issues, configuration problems, and application performance bottlenecks.
• Build, configure, and maintain observability solutions using AppDynamics, Dynatrace, Splunk, Grafana, and Prometheus to improve system visibility and proactive monitoring.
• Develop, enhance, and maintain CI/CD pipelines using Jenkins, Bitbucket, and Azure DevOps to support reliable and automated application deployments.
• Deploy, manage, and troubleshoot containerized applications running on Kubernetes clusters.
• Participate in incident management, on-call rotations, root cause analysis (RCA), and post-incident reviews to improve service reliability and reduce recurring issues.
• Collaborate with development, infrastructure, and DevOps teams to improve application performance, deployment processes, and operational stability.
• Utilize GenAI capabilities to improve operational efficiency through log analysis, incident summarization, automation, and troubleshooting assistance.
• Create and maintain operational documentation, monitoring dashboards, runbooks, and standard operating procedures.
• Manage incidents, change requests, and operational activities using Jira while ensuring timely resolution and effective communication with stakeholders.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 8+ years of experience in Site Reliability Engineering (SRE), Production Support, or DevOps environments.
• Strong hands-on experience with Microsoft Azure, including AKS, Azure Monitor, and Log Analytics.
• Experience supporting Java and Spring Boot applications in production environments.
• Experience in Java application troubleshooting, application logs.
• Hand on experience in Microservices, RestAPI
• Hands-on experience with observability and monitoring tools including AppDynamics, Dynatrace, Kibana , Splunk, Grafana, and Prometheus.
• Experience building and maintaining CI/CD pipelines using Jenkins, Bitbucket, and Azure DevOps.
• Hands on experience in managing Kubernetes.
• Experience providing L2 production support, incident management, root cause analysis, and problem management.
• Experience in Jira and change management.
• Exposure to GenAI tools and AI-driven operational automation is an added advantage.
• Strong analytical, troubleshooting, communication, and stakeholder management skills.
• Ability to work in a fast-paced production environment and participate in on-call support rotations.