Live opening · Posted 4 days ago

Senior DevOps Engineer - Cloud Infrastructure - Search and Data Platforms

Zyoin Group · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 4 days ago
CompanyZyoin Group
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed4 days ago

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About the role

Description supplied by the original job listing.

🚀 Hiring: Senior DevOps Engineer – Cloud Infrastructure | Search & Data Platforms
💼 Experience: 7+ Years
🔧 Focus: Cloud Infrastructure | DevOps | SRE | Search & Data Platforms | Kubernetes
🔹 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
✅ Strong experience managing large-scale distributed data systems
✅ Hands-on experience with Solr, HBase and Redis preferred
✅ Strong Linux expertise, including performance tuning, I/O, memory management and JVM tuning
✅ Strong Terraform/OpenTofu experience
✅ 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.
#Hiring #DevOps #SRE #InfrastructureEngineering #CloudInfrastructure #Kubernetes #AWS #GCP #Terraform #Solr #HBase #Redis #Python #Go #AI #VectorSearch #SearchEngin

Work arrangement
No

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