Devops Engineer ( Flink and MongoDB )

5 - 10 years

20 - 32 Lacs

Posted:6 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

DevOps Engineer (Flink + MongoDB)

  • Location:  India Remote

  • Experience:  8 +  Years

  • Type: Full-Time

We are looking for an experienced DevOps Engineer who has strong hands-on skills with Apache Flink, MongoDB, and Kubernetes.

You will work closely with Product Engineering and Data Engineering teams to build and operate real-time data platforms that support high-scale applications and modern AI features.

This is a hands-on engineering role, not a support role. You will own automation, reliability, platform performance, and deployment pipelines across our streaming and data systems.

What You Will Do

  • Manage and scale 

    Apache Flink

     clusters for real-time data processing
  • Operate and optimize 

    MongoDB

     clusters (replication, sharding, tuning)
  • Deploy and manage data workloads on 

    Kubernetes

     using StatefulSets and Helm
  • Build and automate CI/CD pipelines for streaming and data applications
  • Use 

    Terraform

     to set up and manage cloud infrastructure
  • Set up monitoring and dashboards using 

    Prometheus and Grafana

  • Troubleshoot performance issues across data pipelines and clusters
  • Improve deployment speed and reliability using automation and best practices
  • Work with Product, Data, and AI teams to support new features and modernization

Must-Have Skills

  • Strong experience with 

    Apache Flink

     in production
  • MongoDB cluster operations: 

    sharding, replication, backups, tuning

  • Kubernetes (StatefulSets, Helm, Operators)
  • CI/CD experience for data/streaming applications
  • Terraform or similar Infrastructure-as-Code tools
  • Observability tools: 

    Prometheus + Grafana

  • Good understanding of distributed systems, containers, and Linux

Nice-to-Have Skills

  • Experience with Kafka or other streaming platforms
  • Cloud experience (AWS / Azure / GCP)
  • GitHub Actions / GitLab CI / Azure DevOps
  • Experience with data modernization or ETL streaming migrations
  • Experience with real-time AI/ML pipelines

Who Should Apply

  • You enjoy solving tough engineering problems
  • You like automating everything
  • You are comfortable owning and running production systems
  • You can work closely with multiple engineering teams
  • You want to be part of building modern, high-scale streaming platforms

Why This Role Matters

Your work will directly help teams build:

  • Real-time analytics
  • AI-driven features
  • High-scale product capabilities
  • Modern streaming-based data system

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