Technical Support Engineer (TSE/SRE)
Agivant Technologies India Private Limited · IT Services & Consulting
- Hyderabad, India
- On-site
- Posted today
- IT & Infrastructure
- Full time
About the job
Technical Support Engineer (TSE/SRE) The Technical Support Engineer (TSE/SRE) is expected to provide advanced technical support and reliability engineering for our Data/Graph-based software product to a global client base and partners. This role requires strong technical expertise, sharp problem-solving skills, and the ability to communicate complex technical information clearly. Beyond troubleshooting and resolving customer-facing issues, this role also carries reliability ownership — monitoring system health, improving uptime, and building automation to reduce recurring issues. The TSE/SRE must have experience working with databases, ideally including graph databases, and a solid background in Linux, networking, and scripting (bash/python). They work closely with engineering teams to escalate and resolve complex issues (e.g., code changes required, first-time-seen behavior) and contribute to reliability improvements across the platform. Job Responsibilities Tiered Support: Provide Tier 1-3 technical support, owning issues from initial triage through resolution or engineering handoff Troubleshooting: Diagnose and resolve complex technical issues across application, database, and infrastructure layers Incident Management: Lead or support incident response for production issues, including root cause analysis and postmortems Reliability & Monitoring: Monitor system health and performance using observability tooling; proactively identify and address risks before they become incidents Automation: Build scripts and tooling to reduce manual, repetitive support and operational work Knowledge Documentation: Maintain runbooks, KB articles, and internal documentation for common issues and resolutions Customer Communication: Communicate technical issues and resolutions clearly to customers and partners Collaboration with Development Teams: Escalate and work jointly with engineering on issues requiring code-level fixes Database Monitoring & Optimization: Monitor and tune database performance for production workloads Product Adoption Support: Assist customers with onboarding, configuration, and best-practice usage of the product Training and Mentoring: Mentor junior support engineers and contribute to team knowledge-sharing Must-Have: 3-5 years of overall experience in Technical Support, SRE, or DBA/SysAdmin roles supporting production systems, with direct customer-facing exposure Proficiency in Linux system administration and troubleshooting Strong skills in Bash and Python scripting Hands-on experience with Kubernetes and Docker/container management Experience with NoSQL databases; hands-on experience with a graph database (Neo4j, ArangoDB, Dgraph, Neptune, or similar) strongly preferred Knowledge of network protocols and security practices (SSL, LDAP, AD, SSO) Experience with monitoring/observability tools (Prometheus, Grafana, ELK Stack, Datadog, or Splunk) One of the following: Kubernetes certification (CKA) or a Cloud certification (Azure/AWS/GCP, DevOps Engineer level or equivalent) Good to Have: Understanding of a systems programming language (Go, C++) SQL proficiency Familiarity with DevOps/automation tools (Jenkins, Ansible, Terraform) Experience with on-call rotations and SLA-driven support models Requirements Must-Have: 3-5 years of overall experience in Technical Support, SRE, or DBA/SysAdmin roles supporting production systems, with direct customer-facing exposure Proficiency in Linux system administration and troubleshooting Strong skills in Bash and Python scripting Hands-on experience with Kubernetes and Docker/container management Experience with NoSQL databases; hands-on experience with a graph database (Neo4j, ArangoDB, Dgraph, Neptune, or similar) strongly preferred Knowledge of network protocols and security practices (SSL, LDAP, AD, SSO) Experience with monitoring/observability tools (Prometheus, Grafana, ELK Stack, Datadog, or Splunk) One of the following: Kubernetes certification (CKA) or a Cloud certification (Azure/AWS/GCP, DevOps Engineer level or equivalent)