Platform Engineer
Zensar Technologies
Bengaluru, Karnataka, India2h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- ETLKubernetesTroubleshootingOperationsLinuxNetworking
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Operations39%Kubernetes34%Troubleshooting30%ETL13%of 99 similar fresher jobs posted in India this week
- Listed
- 27 Oct 2026 · still open
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Key Responsibilities
- Designing and operating highly available, scalable, resilient Platform-as-a-Service (PaaS) environments supporting mission-critical workloads.
- Supporting platforms for large-scale data ingestion, ETL, distributed data processing, and high-throughput workloads.
- Performing Kubernetes administration, configuration, upgrades, operations, and production troubleshooting.
- Deploying and managing enterprise Kubernetes platforms using Red Hat OpenShift and/or Rancher.
- Performing RHEL/Linux administration and troubleshooting in enterprise environments.
- Troubleshooting Linux storage, LVM, filesystems, RAID, server hardware, and system performance.
- Understanding networking concepts including TCP/IP, DNS, routing, load balancing, SSH, TLS/SSL, certificates, and PKI.
- Integrating enterprise storage and Pure Storage with Kubernetes, including CSI, persistent volumes, storage classes, and dynamic provisioning.
- Automating and scripting using Shell/Bash, Python, and Ansible.
- Using Terraform and Infrastructure as Code (IaC) for automated and repeatable infrastructure provisioning.
- Utilizing Helm, Argo CD, and GitOps for Kubernetes application and platform deployments.
- Working with Git/GitHub and CI/CD pipelines, including version control, automated deployments, and environment promotion.
- Working with container technologies including Docker and Podman, container images, registries, networking, storage, and runtime troubleshooting.
- Implementing observability and monitoring using Prometheus and Grafana, including metrics, dashboards, alerting, and performance analysis.
- Performing end-to-end troubleshooting and root-cause analysis across hardware → storage → OS → network → containers → Kubernetes → platform services → applications.
- Using LLDP for hardware network-layer identification.
- Using TCPDUMP for network troubleshooting.
- Performing Server network configurations/validations equivalent to CCENT / Network+, inclusive of NIC Bonding and LACP requirements.
Requirements & Tech Stack
- Kubernetes administration, configuration, upgrades, operations, and production troubleshooting.
- Enterprise Kubernetes platforms using Red Hat OpenShift and/or Rancher.
- RHEL/Linux administration and troubleshooting.
- Linux storage, LVM, filesystems, RAID, server hardware, and system performance troubleshooting.
- Networking, TCP/IP, DNS, routing, load balancing, SSH, TLS/SSL, certificates, and PKI.
- Enterprise storage and Pure Storage integration with Kubernetes (including CSI, persistent volumes, storage classes, and dynamic provisioning).
- Automation and scripting: Shell/Bash, Python, Ansible.
- Terraform and Infrastructure as Code (IaC).
- Helm, Argo CD, and GitOps.
- Git/GitHub and CI/CD pipelines.
- Container technologies: Docker, Podman, container images, registries, networking, storage, and runtime troubleshooting.
- Observability and monitoring: Prometheus, Grafana.
- LLDP for hardware network-layer identification.
- TCPDUMP for network troubleshooting.
- Server network configurations / validations equivalent to CCENT / Network+, inclusive of NIC Bonding and LACP.