Job Summary:
We are seeking skilled DevOps/ Cloud Engineers to manage the automation, deployment, monitoring, and optimization of large-scale, cloud-native digital platforms. The role involves working across development, testing, and production environments, with a focus on containerized deployments, CI/CD pipelines, cloud infrastructure, and compliance with security and accessibility standards.
Key Responsibilities:
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Design, implement, and manage CI/CD pipelines for microservices-based applications
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Deploy and maintain applications on cloud platforms (AWS, Azure, or equivalent) using Kubernetes and Docker
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Configure and manage API gateways, load balancers, caching, and monitoring tools
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Implement Infrastructure-as-Code (IaC) using tools such as Terraform, Helm, or Ansible
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Collaborate with developers, QA, and system administrators to ensure smooth deployments and environment consistency
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Monitor infrastructure performance and application health using tools like Prometheus, Grafana, and ELK Stack
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Ensure cloud resources are optimized for cost, scalability, and high availability
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Implement secure deployment practices, secrets management, and compliance with CERT-In and GIGW 3.0 guidelines
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Support logging, alerting, and automated recovery mechanisms for high- availability environments
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Leverage AI-powered tools (e.g., ChatGPT, automated monitoring scripts) for deployment automation, log analysis, and predictive scaling
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Maintain disaster recovery and backup strategies for critical systems and data
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Prepare technical documentation for deployment processes and infrastructure configurations
Job Location:
Required Skills & Qualifications:
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5–8 years of experience in DevOps, cloud engineering, or system administration
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Strong experience with Kubernetes, Docker, and cloud platforms (AWS, Azure, or equivalent)
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Proficiency in CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions
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Experience with Infrastructure-as-Code tools (Terraform, Helm, Ansible)
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Knowledge of microservices architecture, API gateway configuration, and service mesh solutions
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Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack)
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Understanding of cloud security best practices, SSL/TLS, RBAC, and OAuth2 authentication
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Experience with PostgreSQL, MongoDB, or other databases in cloud environments
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Exposure to AI-assisted automation or predictive monitoring tools is preferred
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Strong troubleshooting, scripting, and documentation skills
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Good to have certification: AWS Certified DevOps Engineer, Microsoft Certified: Azure DevOps Engineer Expert, or Kubernetes (CKA/CKAD) certification
