Senior Platform Engineer

LE300 Optiva (India) Technologies Pvt. Ltd.; Hyderabad; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

LE300 Optiva (India) Technologies Pvt. Ltd. is seeking a Senior Platform Engineer specializing in Kubernetes Platform & Platform Services. The ideal candidate will have 6 to 12 years of experience, focusing on designing, building, and operating a hybrid cloud platform.

This role emphasizes engineering fundamentals, product mindset, and a hands-on approach to platform solutions. Responsibilities include managing Kubernetes clusters and developing internal tooling to advance development teams.

Qualifications

• 6 to 12 years of hands-on experience with Kubernetes in production.
• Strong debugging and incident response skills.
• Experience with cloud providers like AWS, GCP, or Azure.

Responsibilities

• Design, implement, and operate production-grade Kubernetes clusters.
• Build and maintain platform services including databases and message brokers.
• Automate infrastructure and platform provisioning using IaC.

Skills

Kubernetes

Networking (CNI, Ingress, Load Balancers, Service Mesh)

Infrastructure as Code (Terraform, Pulumi, Crossplane)

CI/CD systems and GitOps workflows

Production mindset and reliability-first thinking

Job description

Job Summary

We’re looking for a hands‑on Senior Platform Engineer (Kubernetes Platform & Platform Services) with 6 to 12 years of experience to design, build, and operate our internal cloud/hybrid platform powered by Kubernetes. This role is for engineers who don’t just maintain infrastructure — they build platform products and services that enable development teams to move fast, safely, and reliably.

We expect strong engineering fundamentals, deep Kubernetes expertise, and a product mindset toward internal platforms. This is not a ticket‑driven operations role. This is a builder role.

What You Will Do

• Design, implement, and operate production‑grade Kubernetes clusters
• Build and maintain platform services: PostgreSQL, MariaDB, Cassandra, etc.; Kafka, RabbitMQ, Redis
• Observability / Monitoring stack; Secrets management and many more
• Develop internal self‑service tooling for developers
• Automate infrastructure and platform provisioning (IaC, GitOps)
• Improve reliability, scalability, and security of the platform
• Own CI/CD systems and deployment workflows
• Implement observability standards (metrics, logs, tracing)
• Lead incident response and postmortem improvements
• Continuously reduce cognitive load for application teams

Required Skills & Experience

• Strong hands‑on experience with Kubernetes in production
• Deep understanding of:
  • Networking (CNI, Ingress, Load Balancers, Service Mesh)
  • Storage and Stateful Workloads (CSI, Snapshots, StatefulSets, storage classes)
  • Resource management (requests/limits, autoscaling)
  • Kubernetes Operators
• Experience operating or building platform services: Databases (replication, backup, failover), Message brokers (partitioning, durability, scaling), Caching systems
• Infrastructure as Code (Terraform, Pulumi, Crossplane, etc.)
• CI/CD systems and GitOps workflows
• Experience with at least one cloud provider (AWS, GCP, Azure)
• Strong debugging and incident response skills
• Production mindset and reliability‑first thinking

Nice to Have

• Telco/BSS domain knowledge
• Experience building internal developer platforms
• Multi‑tenant Kubernetes environments
• Service mesh (Istio, Linkerd)
• Security hardening & policy enforcement
• Cost optimization in cloud environments
• Multi‑region or disaster recovery architectures

What We Value

End‑to‑End Ownership – You build it, you run it, you improve it.
Strong Hands‑On Engineering – We expect engineers who write code, automate everything, and dive deep into root causes.
Platform‑as‑a‑Product Thinking – The platform is a product for developers. Developer experience matters.
High Standards – We optimize for long‑term maintainability, reliability, and simplicity.
Continuous Improvement – Blameless postmortems, automation over manual processes, and learning from failure.

What Success Looks Like

Developers can provision systems in minutes, not days.
Platform incidents are rare and well‑understood.
Scaling is predictable.
Deployments are boring.
The platform accelerates product teams instead of blocking them.