▷ (Only 24h Left) Technical Support Engineer

7 days ago


Bengaluru, India Licious Full time

About the Role : We are looking for a technically sound and process-driven Technical Support Engineer who can handle L0–L1 troubleshooting, automate recurring issues, and bridge the gap between support and engineering. You'll be responsible for first-line diagnostics, log analysis, and escalating critical issues with clear context. Key Responsibilities : - Provide L0 and L1 support for internal and external systems, tools, and platforms. - Perform first-level debugging through logs, databases, and monitoring dashboards. - Analyze system and application logs to identify root causes of issues. - Automate repetitive support tasks using scripts (Bash, Python, Shell, PowerShell). - Create and maintain support playbooks and runbooks. - Handle ticket triaging and escalate to engineering or DevOps teams with proper diagnostics. - Work closely with QA, Infra, and Product teams to validate fixes and assist in deployment support. - Manage access requests, basic configuration changes, and environment validations. - Proactively monitor alerts and take preventive actions before issues impact business. Required Skills : - 2–5 years in technical support, application support, or system operations roles. - Strong hands-on knowledge of Linux/Unix and CLI tools. - Experience with writing and maintaining basic scripts (Bash, Python, Shell). - Working knowledge of system monitoring tools (e.g., Grafana, Kibana, CloudWatch, Prometheus). - Understanding of REST APIs, HTTP error codes, and debugging tools like Postman or curl. - SQL proficiency to query logs and verify data issues. - Comfortable with log analysis using ELK stack or similar tools. - Familiarity with ticketing systems like JIRA, Zendesk, or Freshdesk. Bonus Skills : - Experience supporting microservices or distributed systems. - Awareness of CI/CD pipelines and basic deployment concepts. - Knowledge of containerized environments (Docker, Kubernetes). - Experience in working with cloud environments (AWS, GCP, Azure).



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