Senior DevOps Engineer - Cloud Infrastructure - Search and Data Platforms

🚀 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.

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