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Devops Engineer

APN Consulting · Bangalore, KA

Weak hiring record · median 92 days open

100100

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Actively hiring

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  • Still listed on the employer's own board

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Devops Engineer at APN Consulting. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Job description

  • Design, develop, deploy, and maintain enterprise chatbot and conversational AI solutions.
  • Develop and integrate chatbots with APIs, web applications, databases, and enterprise systems.
  • Work with cloud platforms such as AWS / Azure / GCP for application deployment and infrastructure management.
  • Implement and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
  • Manage containerized applications using Docker and Kubernetes.
  • Implement Infrastructure as Code using Terraform / CloudFormation / ARM.
  • Monitor applications and cloud infrastructure using tools such as CloudWatch, Azure Monitor, Prometheus, and Grafana.
  • Troubleshoot production issues, perform root-cause analysis, and provide L3 support.
  • Implement security, access management, logging, monitoring, backup, and disaster-recovery practices.
  • Collaborate with development, QA, security, architecture, and infrastructure teams.
  • Automate repetitive operational activities using Python / Shell / PowerShell.
  • Participate in cloud migration, performance optimization, and scalability initiatives.
  • Prepare technical documentation, deployment procedures, and operational runbooks.
  • Provide technical guidance and mentoring to junior engineers.

Required Skills

  • 7+ years of experience in Cloud / DevOps / Automation.
  • Strong experience in AWS, Azure, or GCP.
  • Hands-on experience with Docker, Kubernetes, Git, CI/CD.
  • Experience with Terraform or other IaC tools.
  • Good scripting knowledge in Python, Shell, or PowerShell.
  • Experience with REST APIs, microservices, databases, and application integrations.
  • Understanding of chatbot/conversational AI technologies is preferred.
  • Strong troubleshooting and production-support experience.

Good knowledge of cloud security, networking, IAM, and monitoring

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