Job
Description
As a Technical Support Engineer at our company, you will be responsible for providing high-quality technical support to customers worldwide. Your main tasks will include troubleshooting complex technical issues, collaborating with different teams, and ensuring customer satisfaction. **Roles and Responsibilities:** - Respond to customer inquiries and provide technical support through various communication channels. - Collaborate with engineering teams to diagnose and resolve complex technical problems. - Create and maintain public documentation, internal knowledge base articles, and FAQs. - Monitor and meet SLAs. - Triage issues based on error messages, log files, threads dumps, stack traces, sample code, and other data points. - Troubleshoot cluster issues across multiple servers, data centers, and clouds. - Work during the EMEA time zone (2 PM to 10 PM shift). **Requirements:** **Must Have Skills** - **Education:** B.Tech in computer engineering, Information Technology, or related field. - **Experience:** - GraphDB experience is a must. - 5+ years of experience in a Technical Support Role on Data based Software Product at least L3 level. - Linux Expertise: 4+ years with in-depth understanding of Linux. - Graph Databases: 3+ years of experience with Neo4j or similar systems. - SQL Expertise: 3+ years of experience in SQL. - Data Streaming & Processing: 2+ years hands-on experience with Kafka, Zookeeper, and Spark. - Scripting & Automation: 2+ years with skills in Bash scripting and Python. - Containerization & Orchestration: 1+ year proficiency in Docker, Kubernetes, or similar technologies. - Monitoring & Performance Tools: Experience with Grafana, Datadog, Prometheus, or similar tools. - Networking & Load Balancing: Proficient in TCP/IP, load balancing strategies. - Web & API Technologies: Understanding of HTTP, SSL, REST APIs. **Nice to have Skills** - Familiarity with Data Science or ML. - Experience with LDAP, SSO, OAuth authentication. - Strong understanding of database internals and system architecture. - Cloud certification (at least DevOps Engineer level). This role will require you to have strong problem-solving skills, excellent communication abilities, and a deep technical expertise in databases, Linux, networking, and scripting. Your dedication to customer success and ability to work collaboratively with cross-functional teams will be crucial for ensuring customer satisfaction. As a Technical Support Engineer at our company, you will be responsible for providing high-quality technical support to customers worldwide. Your main tasks will include troubleshooting complex technical issues, collaborating with different teams, and ensuring customer satisfaction. **Roles and Responsibilities:** - Respond to customer inquiries and provide technical support through various communication channels. - Collaborate with engineering teams to diagnose and resolve complex technical problems. - Create and maintain public documentation, internal knowledge base articles, and FAQs. - Monitor and meet SLAs. - Triage issues based on error messages, log files, threads dumps, stack traces, sample code, and other data points. - Troubleshoot cluster issues across multiple servers, data centers, and clouds. - Work during the EMEA time zone (2 PM to 10 PM shift). **Requirements:** **Must Have Skills** - **Education:** B.Tech in computer engineering, Information Technology, or related field. - **Experience:** - GraphDB experience is a must. - 5+ years of experience in a Technical Support Role on Data based Software Product at least L3 level. - Linux Expertise: 4+ years with in-depth understanding of Linux. - Graph Databases: 3+ years of experience with Neo4j or similar systems. - SQL Expertise: 3+ years of experience in SQL. - Data Streaming & Processing: 2+ years hands-on experience with Kafka, Zookeeper, and Spark. - Scripting & Automation: 2+ years with skills in Bash scripting and Python. - Containerization & Orchestration: 1+ year proficiency in Docker, Kubernetes, or similar technologies. - Monitoring & Performance Tools: Experience with Grafana, Datadog, Prometheus, or similar tools. - Networking & Load Balancing: Proficient in TCP/IP, load balancing strategies. - Web & API Technologies: Understanding of HTTP, SSL, REST APIs. **Nice to have Skills** - Familiarity with Data Science or ML. - Experience with LDAP, SSO, OAuth authentication. - Strong understanding of database internals and system architecture. - Cloud certification (at least DevOps Engineer level). This role will require you to have strong problem-solving skills, excellent communication abilities, and a deep technical expertise in databases, Linux, networking, and scripting. Your dedication to customer success and ability to work collaboratively with cross-functional teams will be crucial for ensuring customer satisfaction.
