Torry Harris Business Solutions
Platform Engineer - Kubernetes & Data Platform
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹1,500,000 – ₹2,500,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
8 September 2026
What they need
Are you a Platform Engineer passionate about Kubernetes and Data Engineering? Torry Harris is looking for a skilled Platform Engineer to join our team and help build a next-generation, on-premises Kubernetes Data Platform powering large-scale data processing, AI/ML workloads, real-time analytics, and self-service data capabilities.
As a Platform Engineer, you will design, build, automate, operate, and scale the platform using Kubernetes, Stackable Data Platform, Apache Spark, Apache Kafka, Apache NiFi, and S3-compatible Object Storage. You’ll work closely with Platform and Data Engineering teams to build a secure, resilient, scalable, and multi-tenant platform that enables strategic data initiatives.
Roles and Responsibilities
Design, build, and operate **production-grade, on-premises Kubernetes platforms** for data-intensive and AI/ML workloads.
Deploy, manage, and optimize **Stackable Data Platform, Apache Spark, Apache Kafka, Apache NiFi, and S3-compatible Object Storage** on Kubernetes.
Build scalable, resilient, secure, and **multi-tenant platform architectures** with self-service capabilities for Data Engineering and AI/ML teams.
Implement **GitOps and automation** using Argo CD, Helm, Infrastructure as Code, and CI/CD pipelines for platform provisioning, deployment, upgrades, and lifecycle management.
Enable data lake, real-time analytics, AI/ML use cases, and migration of workloads from **legacy Hadoop to Kubernetes-native platforms**.
Establish platform **monitoring, observability, alerting, capacity management, backup, and disaster recovery** practices.
Troubleshoot complex production issues, lead **Root Cause Analysis (RCA)**, and drive continuous improvements in platform reliability and performance.
Implement **Kubernetes security, RBAC, secrets, certificates, network policies, governance, and compliance** controls.
Collaborate with Platform, Data Engineering, AI/ML, Infrastructure, and Security teams to deliver strategic **Data Platform initiatives** and engineering best practices.
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