3Pillar - Senior Software Engineer-Technical Support
In OfficeSeniorAPACCloud ComputingSenior Software EngineerJunior Software EngineerReportingSQLDockerKubernetesLinux
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Requirements
- Providing L2 & L3 Support around Tickets reported from Production Environments Available till 11 AM Pacific time for overlap with US client and ready for on call support over weekend (once in a month)Monitor, analyze, and troubleshoot ETL/data pipelines across Data Lakes and distributed systems Conduct in-depth root cause analysis using SQL queries, system logs, and monitoring tools Support microservices-based applications running in Docker and Kubernetes environmentsDiagnose and resolve Linux server issues related to disk usage, memory, networking, and permissions Collaborate with DevOps and CloudOps teams on system scaling, performance optimization, and configuration changes Maintain and automate system health using cron jobs, shell scripts, and cloud-native tools Drive end-to-end incident resolution, create detailed RCA reports, and implement preventive measures Work with cross-functional teams to identify long-term solutions and enhance system stability Ensure SLA compliance, maintain accurate documentation, and continuously improve support processes
- Must Have Minimum 3-4 years of experience in Technical/Application/Production Support in a fast-paced environment Strong hands-on experience with SQL, Linux, and cloud platforms (preferably AWS) Familiarity with monitoring and log management tools such as Datadog, Sumologic, Zabbix or similar platforms Practical experience with Docker and Kubernetes Good understanding of microservices architecture, APIs, and log debugging Strong analytical and problem-solving skills with keen attention to detail Excellent communication and collaboration skills to work across technical and non-technical teams
Responsibilities
- Providing L2 & L3 Support around Tickets reported from Production Environments Available till 11 AM Pacific time for overlap with US client and ready for on call support over weekend (once in a month)Monitor, analyze, and troubleshoot ETL/data pipelines across Data Lakes and distributed systems Conduct in-depth root cause analysis using SQL queries, system logs, and monitoring tools Support microservices-based applications running in Docker and Kubernetes environmentsDiagnose and resolve Linux server issues related to disk usage, memory, networking, and permissions Collaborate with DevOps and CloudOps teams on system scaling, performance optimization, and configuration changes Maintain and automate system health using cron jobs, shell scripts, and cloud-native tools Drive end-to-end incident resolution, create detailed RCA reports, and implement preventive measures Work with cross-functional teams to identify long-term solutions and enhance system stability Ensure SLA compliance, maintain accurate documentation, and continuously improve support processes
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