DevOps Engineer

NexTurn Inc.; Hyderabad; On-site; INR 1,100,000 - 1,900,000; Full time

Job summary

NexTurn Inc. is seeking an experienced DevOps Engineer to support AWS, Azure, Kubernetes, CI/CD, automation, and monitoring in a 24x7 production environment. You will build and troubleshoot CI/CD pipelines, deploy containerized apps on Kubernetes, and automate operations using Terraform, Ansible, and scripting languages.

The role requires hands-on cloud, container, and automation expertise, with strong problem-solving and cross-team collaboration. Location in Hyderabad, India.

Qualifications

• Hands-on experience with AWS and Azure cloud platforms.
• Kubernetes and containerized deployments experience.
• Extensive CI/CD pipeline and automation experience.
• Experience with Jenkins, Azure DevOps, or GitHub Actions.
• Strong troubleshooting across cloud, Kubernetes, networks, and CI/CD.
• On-call production support experience.
• Monitoring and log management with Prometheus, Grafana, ELK, CloudWatch.
• Shell scripting for automation.
• Infrastructure as Code with Terraform.
• Knowledge of cloud networking, IAM, security and governance.
• Incident management and root cause analysis.
• Collaborative across development, infrastructure, security and ops teams.
• Ownership mindset and willingness to learn.

Responsibilities

• Support DevOps activities across AWS, Azure, Kubernetes, CI/CD, automation, monitoring, and production operations.
• Build, maintain, and troubleshoot CI/CD pipelines for deployments.
• Work with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or similar.
• Deploy and manage containerized applications on Kubernetes.
• Assist Kubernetes troubleshooting for pods, deployments, services, ingress, config maps, secrets, nodes, and networking.
• Work on AWS and Azure services related to compute, storage, networking, IAM, monitoring, security, and container platforms.
• Automate tasks using shell scripting, Bash, Python, or similar.
• Use Terraform for infrastructure provisioning and environment automation.
• Use Ansible for configuration management and deployment automation.
• Monitor health using Prometheus, Grafana, ELK, CloudWatch, or Azure Monitor.
• Analyze logs, alerts, metrics, and dashboards to identify and resolve issues.
• Participate in 24×7 production support and incident response.
• Perform root cause analysis and document corrective actions.
• Collaborate with development, infrastructure, security, and operations teams.
• Follow DevOps best practices for automation, version control, release management, and security.
• Support AWS Bedrock or GenAI platform operations where applicable.
• Maintain deployment documentation, runbooks, SOPs, and knowledge base articles.
• Continuously improve automation, monitoring, deployment reliability, and efficiency.

Skills

Cloud platforms (AWS, Azure)

Kubernetes

CI/CD

Automation

Scripting (Shell, Python)

Monitoring & troubleshooting

On-call support

Root cause analysis

Communication & collaboration

Ownership mindset

Education

Bachelor's or Master's degree in Computer Science / IT or related field

Tools

Jenkins

Azure DevOps

GitHub Actions

Terraform

Ansible

Prometheus

Grafana

ELK Stack

CloudWatch

Shell scripting

Job description

Qualifications

• Strong experience in AWS and Azure cloud platforms.
• AWS Bedrock
• Hands‑on experience in Kubernetes, containerized application deployments, and cluster troubleshooting.
• Strong understanding of core DevOps concepts, CI/CD, automation, release management, infrastructure provisioning, and operational support.
• Hands‑on experience in setting up, maintaining, and troubleshooting CI/CD pipelines.
• Experience with CI/CD tools such as Jenkins, Azure DevOps, GitHub Actions, or similar platforms.
• Strong troubleshooting skills across cloud infrastructure, Kubernetes, applications, networking, deployments, and CI/CD failures.
• Experience working in 24×7 production support or on‑call support environments.
• Hands‑on experience with monitoring and log management tools such as Prometheus, Grafana, ELK, CloudWatch, or similar tools.
• Hands‑on experience in Shell scripting for automation and operational tasks.
• Experience with Infrastructure as Code tools such as Terraform.
• Good understanding of cloud networking, IAM, security, access management, and infrastructure governance.
• Experience in incident management, root cause analysis, production issue resolution, and operational documentation.
• Ability to work independently and collaborate with development, infrastructure, security, and operations teams.
• Strong communication skills, ownership mindset, and willingness to learn new technologies.

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Job Description

• Support DevOps activities across AWS, Azure, Kubernetes, CI/CD, automation, monitoring, and production operations.
• Build, maintain, and troubleshoot CI/CD pipelines for application and infrastructure deployments.
• Work with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
• Deploy and manage containerized applications on Kubernetes platforms.
• Support Kubernetes troubleshooting related to pods, deployments, services, ingress, config maps, secrets, nodes, and networking.
• Work on AWS and Azure services related to compute, storage, networking, IAM, monitoring, security, and container platforms.
• Automate operational tasks using shell scripting, Bash, Python, or similar scripting languages.
• Use Terraform for infrastructure provisioning and environment automation.
• Use Ansible for configuration management, patching, deployment automation, and operational tasks.
• Monitor infrastructure and application health using tools such as Prometheus, Grafana, ELK, CloudWatch, or Azure Monitor.
• Analyze logs, alerts, metrics, and dashboards to identify and resolve issues.
• Participate in 24×7 production support, on‑call rotation, incident response, and issue resolution.
• Perform root cause analysis and document corrective and preventive actions.
• Collaborate with development, infrastructure, security, and operations teams.
• Follow DevOps best practices for automation, version control, release management, security, and operational documentation.
• Support AWS Bedrock or GenAI platform operations where applicable.
• Maintain deployment documentation, runbooks, SOPs, and knowledge base articles.
• Continuously improve automation, monitoring, deployment reliability, and operational efficiency.