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Technical Support Engineer
Agivant
posted 1hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
-Kubernetes Administration: Manage and optimize Kubernetes clusters to ensure high availability and performance of TGCloud Savanna.
-Automation & Infrastructure as Code (IaC): Develop automation scripts and Helm charts to streamline deployments and infrastructure management.
-Observability & Monitoring: Implement and maintain monitoring solutions (Prometheus, Grafana, ELK, etc.) to proactively identify and resolve issues.
-Incident Management & Troubleshooting: Respond to incidents, perform root cause analysis, and implement long-term solutions to prevent recurrence.
-Cloud Operations & Scalability: Optimize cloud infrastructure (AWS/GCP/Azure) to ensure seamless scaling and resource efficiency
-Database Performance & Reliability: Monitor and optimize graph database performance, ensuring optimal query execution and data consistency.
-Collaboration with Development Teams: Work closely with engineering teams to improve system reliability and support new feature deployments.
-Collaboration with TSE team: Work closely with the TSE team on issues that do spread between the TG CoreDB and TGCloud infrastructure
-Customer Support & Communication: Provide technical support for TGCloud customers, ensuring high satisfaction and resolution of technical challenges.
-Knowledge Documentation: Maintain detailed documentation of system architecture, processes, and troubleshooting guides (aka Playbooks, Runbooks).
-Training & Mentoring: Share expertise and mentor junior engineers to strengthen the SRE teamcapabilities.
Requirements
-Automation & Infrastructure as Code (IaC): Develop automation scripts and Helm charts to streamline deployments and infrastructure management.
-Observability & Monitoring: Implement and maintain monitoring solutions (Prometheus, Grafana, ELK, etc.) to proactively identify and resolve issues.
-Incident Management & Troubleshooting: Respond to incidents, perform root cause analysis, and implement long-term solutions to prevent recurrence.
-Cloud Operations & Scalability: Optimize cloud infrastructure (AWS/GCP/Azure) to ensure seamless scaling and resource efficiency
-Database Performance & Reliability: Monitor and optimize graph database performance, ensuring optimal query execution and data consistency.
-Collaboration with Development Teams: Work closely with engineering teams to improve system reliability and support new feature deployments.
-Collaboration with TSE team: Work closely with the TSE team on issues that do spread between the TG CoreDB and TGCloud infrastructure
-Customer Support & Communication: Provide technical support for TGCloud customers, ensuring high satisfaction and resolution of technical challenges.
-Knowledge Documentation: Maintain detailed documentation of system architecture, processes, and troubleshooting guides (aka Playbooks, Runbooks).
-Training & Mentoring: Share expertise and mentor junior engineers to strengthen the SRE teamcapabilities.
Requirements
-2-3 years of hands-on experience with Kubernetes in production environments.
-Strong expertise in Kubernetes Operators and Helm chart creation. Once onboard we will be providing training on the TG k8s operator
-CKA certification (Certified Kubernetes Administrator) is a plus.
-Proficiency in cloud platforms (AWS, GCP, Azure)
-Strong background in Linux, networking, and scripting (Bash/Python).
-Experience with observability tools (Prometheus, Grafana, ELK, Datadog, etc.).
-Familiarity with CI/CD pipelines and DevOps best practices.
-Strong problem-solving skills with the ability to troubleshoot complex issues.
-Excellent communication skills for effective customer interaction and cross-functional collaboration
-Strong expertise in Kubernetes Operators and Helm chart creation. Once onboard we will be providing training on the TG k8s operator
-CKA certification (Certified Kubernetes Administrator) is a plus.
-Proficiency in cloud platforms (AWS, GCP, Azure)
-Strong background in Linux, networking, and scripting (Bash/Python).
-Experience with observability tools (Prometheus, Grafana, ELK, Datadog, etc.).
-Familiarity with CI/CD pipelines and DevOps best practices.
-Strong problem-solving skills with the ability to troubleshoot complex issues.
-Excellent communication skills for effective customer interaction and cross-functional collaboration
Employment Type: Full Time, Permanent
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based on 8 employees
Flexible timing
Monday to Friday
Within country
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