Application Developer

21 hours ago

Bengaluru, Karnataka, India beBeeDevops Full time ₹ 16,00,000 - ₹ 20,80,000
Job Overview

We are seeking an experienced DevOps professional to join our team.

The successful candidate will be responsible for streamlining software development lifecycle, automating deployment processes and ensuring the reliability and scalability of applications.

This role requires collaboration with cross-functional teams to implement best practices and tools that enable continuous integration, delivery and efficient infrastructure management.

  • Create and manage kubernetes clusters on EKS
  • Deploy applications to kubernetes through ArgoCD
  • Manage multiple datastores - Elasticsearch, RDS, DocumentDB etc
  • Manage queueing systems - RabbitMQ, Kafka
  • Architect solutions as per engineering teams needs
  • Solve scalability issues with current infrastructure
  • Provide support to engineering teams
  • Implementing GitOps across the organization

Responsibilities include:

  • Collaborate with cross-functional teams to streamline software development lifecycle
  • Automate deployment processes and ensure application reliability and scalability
  • Implement best practices and tools for continuous integration, delivery and infrastructure management
  • Manage kubernetes clusters on EKS and deploy applications to kubernetes through ArgoCD
  • Manage multiple datastores and queueing systems
  • Architect solutions as per engineering teams needs and solve scalability issues
  • Provide support to engineering teams and implement GitOps

Requirements:

  • 2+ years of experience in SRE Operations/ Cloud Engineer / DevOps role
  • Strong working knowledge of Linux and operating system fundamentals
  • Experience with containerization (Docker, Kubernetes)
  • Experience working with Cloud platforms (AWS)
  • Scripting knowledge (Python / Bash)
  • Experience with monitoring tools like DataDog / CloudWatch / Grafana
  • Experience working with a CI/CD setup (Github Actions)
  • Experience with ELK stack will be an advantage
  • Experience in integrating AI into DevOps workflows will be an added advantage
Key Skills
  • Cloud Platforms (AWS)
  • Containerization (Docker, Kubernetes)
  • Scripting Knowledge (Python, Bash)
  • Monitoring Tools (DataDog, CloudWatch, Grafana)
  • CI/CD Setup (Github Actions)
  • ELK Stack
  • Ai Integration

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