Senior DevOps Engineer - Cloud Infrastructure - Search and Data Platforms

Zyoin Group; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Zyoin Group in Bengaluru invites an experienced DevOps/SRE professional to architect and scale large-scale cloud infrastructure. You will work on search & NoSQL platforms, multi-cloud deployments, and stateful workloads on Kubernetes, with emphasis on reliability, observability, and automation.

The role focuses on building AI-powered infrastructure, leveraging LLM tools to speed engineering workflows, and participating in on-call rotations to resolve critical incidents.

Qualifications

• 7+ years of DevOps, infrastructure or SRE experience.
• Hands-on with Solr, HBase, Redis; production Kubernetes.
• Strong Linux with performance tuning and JVM tuning.
• Experience with AI/LLM tools to boost productivity.

Responsibilities

• Architect and scale search & NoSQL platforms across multi-cloud.
• Build and manage multi-cloud infrastructure across AWS & GCP using Terraform/OpenTofu.
• Run production-grade stateful workloads on Kubernetes.
• Evolve infrastructure toward AI-powered architectures.
• Develop observability using Datadog and Prometheus.
• Automate infrastructure tooling with Python, Go or Bash.
• Manage VPCs, load balancing, service mesh and caching layers.
• Lead on-call rotations and drive RCA for incidents.

Skills

7+ years experience

Kubernetes in production

Python/Go

Linux tuning

Solr/HBase/Redis

Distributed systems

AI/LLM tools

On-call experience

Tools

Terraform/OpenTofu

Datadog

Prometheus

Job description

What You’ll Work On

• Architect and scale Search & NoSQL platforms including Solr, HBase and Redis
• Build and manage multi-cloud infrastructure across AWS & GCP using Terraform/OpenTofu
• Run production-grade stateful workloads on Kubernetes, including StatefulSets and persistent storage
• Help evolve infrastructure toward AI-powered and Vector Search architectures
• Build observability using Datadog, Prometheus and deep-stack monitoring
• Develop automation and infrastructure tooling using Python, Go or Bash
• Manage complex VPCs, Load Balancing, Service Meshes and caching layers
• Troubleshoot complex distributed-system issues and drive RCA and reliability improvements
• Participate in an on-call rotation and lead resolution of critical production incidents
• Leverage LLMs such as ChatGPT, Claude and GitHub Copilot to accelerate engineering and operational workflows

What We’re Looking For

• 7+ years in DevOps, Infrastructure or SRE
• Hands‑on experience with Solr, HBase and Redis preferred
• Strong Linux expertise, including performance tuning, I/O, memory management and JVM tuning
• Deep experience running Kubernetes in production, particularly stateful workloads
• Strong programming/scripting skills in Python or Go
• Experience with comparable technologies such as Elasticsearch, OpenSearch, Cassandra or BigTable is also relevant.
• Practical experience using AI/LLM tools to improve engineering productivity
• Strong troubleshooting, communication and problem-solving skills

Why This Role?

You’ll have the opportunity to work on high-scale cloud infrastructure, distributed search and data platforms, Kubernetes and emerging AI-driven architectures—with significant ownership and autonomy.