Technology Support Engineer

Technology Support Engineer

Project Role : Technology Support Engineer
Project Role Description : Resolve incidents and problems across multiple business system components and ensure operational stability. Create and implement Requests for Change (RFC) and update knowledge base articles to support effective troubleshooting. Collaborate with vendors and help service management teams with issue analysis and resolution.
Must have skills : Kubernetes
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:

Kubernetes SME with a minimum of 6 years of hands-on experience in Kubernetes.
Responsible for administration, engineering, security, automation, deployment, and operational support of enterprise Kubernetes platforms.
Experience supporting Documentum, D2, D2LS, xPlore, and OTDS workloads in Kubernetes environments.
Strong expertise in Cilium, MetalLB, NGINX Ingress, KEDA, Vector Telemetry, container segmentation, and Kubernetes deployment processes.
Responsible for maintaining highly available, scalable, secure, and production-ready Kubernetes environments.
The role also involves automation, monitoring, troubleshooting, release management, disaster recovery readiness, security compliance, and technical documentation.

Roles & Responsibilities
Administer, configure, upgrade, and maintain Kubernetes clusters supporting Documentum ecosystem workloads.
Manage cluster health, scalability, performance, high availability, capacity, and disaster recovery readiness.
Deploy and manage Documentum, D2, D2LS, xPlore, and OTDS workloads on Kubernetes.
Manage container lifecycle, image promotion, deployment standards, and platform engineering processes.
Implement and maintain Cilium network policies, container segmentation, micro-segmentation, and east-west traffic controls.
Troubleshoot Kubernetes networking, service communication, connectivity, and security policy issues.
Configure and manage MetalLB for on-premises Kubernetes load balancing and service exposure.
Manage IP address allocation, load-balancer services, and network availability.
Configure and administer NGINX Ingress, routing rules, SSL/TLS termination, DNS, certificates, and application access.
Implement KEDA event-driven autoscaling and optimize workload scaling behavior.
Implement container security controls, image signing, vulnerability management, and policy enforcement.
Support OTDS authentication, authorization, identity management, and synchronization requirements.
Implement monitoring, logging, telemetry, alerting, and operational dashboards for Kubernetes workloads.
Configure and maintain Vector Telemetry pipelines for centralized log collection and telemetry processing.
Develop Shell and Python automation for deployments, health checks, monitoring, remediation, and operational activities.
Support Kubernetes deployment processes, including Documentum/D2 Kubernetes deployment workflows.
Support production deployments, cutovers, release validation, rollback planning, and change-management activities.
Maintain runbooks, architecture diagrams, deployment guides, operational procedures, and governance documentation.
Provide technical leadership and SME support for Kubernetes engineering and operations teams.
3. Professional & Technical Skills / Additional Information
Professional & Technical Skills
Kubernetes: Cluster administration, upgrades, scaling, HA, troubleshooting, workload management, resource management, and production operations.
Cilium: Network policies, container segmentation, micro-segmentation, networking, and east-west traffic control.
MetalLB: On-premises load balancing, IP address pools, service exposure, and network troubleshooting.
NGINX Ingress: Ingress controllers, routing, SSL/TLS, certificates, DNS, and traffic management.
KEDA: Event-driven autoscaling, triggers, workload optimization, and scaling troubleshooting.
Vector Telemetry: Centralized logging, telemetry pipelines, log collection, transformation, routing, and monitoring.
Documentum Ecosystem: Documentum, D2, D2LS, xPlore, OTDS, and Kubernetes deployment workflows.
Security: Container security, image signing, vulnerability management, network policies, compliance, and audit readiness.
Automation: Shell scripting and Python for operational automation and remediation.
Observability: Monitoring, logging, metrics, alerting, dashboards, and performance analysis.
DevOps & Deployment: CI/CD, release management, production cutovers, rollback strategies, and change management.

Additional Information:
Experience: Minimum 6 years of hands-on experience in Kubernetes.
Location: Hyderabad, India – Work from the Hyderabad office.
Education: 15 years of full-time formal education is required.