Senior DevOps Engineer
Summary
Senior DevOps engineer (3-6 yrs experience, remote within India) who manages AWS/Azure cloud and Docker/Kubernetes deployments, administers Linux servers, writes Bash automation, and handles production troubleshooting, RCA, and operational support across Nginx, SQL, and Redis environments.
Compensation: ₹10L – ₹15L • No equity
Job Profile - Sr DevOps Engineer (AWS OR Azure)
Experience- 3 Years - 6 Years
Organization- Emplay Analytics Inc
Salary (CTC) - 10 LPA - 15 LPA
Job Location- Remote/Work from Home (India)
About the Role
We are looking for an experienced DevOps Engineer with strong hands-on experience in Linux, Docker, Cloud, (AWS/Azure), scripting, application deployments, and production troubleshooting.
Key Responsibilities
- Manage application deployments, maintenance, upgrades, and day-to-day operations across cloud and containerized environments.
- Administer and maintain Linux/Unix servers and related infrastructure.
- Deploy and manage containerized applications using Docker, Docker Compose, and Kubernetes.
- Work with AWS and/or Azure cloud infrastructure and services.
- Troubleshoot production issues by analyzing application and Docker logs, system resources, configurations, networking, and service dependencies.
- Perform root-cause analysis (RCA) and implement, validate, and document appropriate solutions.
- Develop and maintain Bash/Shell scripts for infrastructure automation, deployment, health checks, troubleshooting, and operational tasks.
- Support microservices-based applications and troubleshoot service connectivity, configurations, environment variables, ports, volumes, and dependencies.
- Work with SQL databases and Redis for operational troubleshooting, data validation, and infrastructure support.
- Configure and manage Nginx/Apache and troubleshoot reverse proxy and service connectivity issues.
- Automate repetitive operational activities to improve efficiency and reduce manual effort.
Required Skills & Experience
- 3–6 years of relevant experience in DevOps, Cloud Operations, Linux Administration, or Infrastructure Engineering.
- Strong hands-on experience with Linux server administration.
- Strong hands-on experience with Docker and Docker Compose.
- Strong working experience with Kubernetes and container orchestration.
- Good knowledge of AWS and/or Azure cloud platforms.
- Strong proficiency in Bash/Shell scripting and infrastructure automation.
- Strong experience with Docker/container log analysis.
- Good understanding of SQL and relational databases.
- Working knowledge of Redis or similar infrastructure components.
- Good understanding of networking, DNS, ports, HTTP/HTTPS, reverse proxies, and service connectivity.
- Experience configuring and managing Nginx and/or Apache.
- Good understanding of Linux CPU, memory, disk, processes, permissions, filesystems, and system resource troubleshooting.
- Experience with Terraform or other Infrastructure as Code tools.
- Ability to independently diagnose issues across application, infrastructure, database, and service dependencies.
- Strong analytical, troubleshooting, communication, and problem-solving skills.
Preferred Skills
- Experience with Terraform or other Infrastructure as Code tools.
- Exposure to Helm and Kubernetes deployment management.
- Experience with Prometheus, Grafana, ELK/EFK, CloudWatch, or similar monitoring and logging solutions.
- Experience with Python for infrastructure automation and tooling.
- Understanding of Docker, Linux, and cloud security best practices.
- Experience managing multi-tenant or customer-specific cloud/containerized environments.
- Familiarity with incident management, RCA, and preventive actions.