Sr DevOps Engineer (AWS OR Azure)

Emplay; India; Remote; INR 1,500,000 - 2,500,000; Full time

Job summary

Emplay Analytics Inc in India is seeking an experienced DevOps Engineer with strong hands-on Linux, Docker, and cloud experience (AWS/Azure) to design and run scalable deployments across remote environments. You will automate operations, manage containers, monitor systems, and troubleshoot production issues across remote India environments.

The role requires 3–6 years of relevant experience, proficiency in Bash scripting, Kubernetes, Terraform, and the ability to work independently in a remote

Qualifications

• 3–6 years in DevOps, cloud operations, or infrastructure engineering.
• Hands-on Linux system administration experience.
• Experience with Docker, Docker Compose, and Kubernetes.
• Good knowledge of AWS and/or Azure cloud platforms.
• Scripting in Bash/Shell for automation.
• Familiar with networking, DNS, ports, and reverse proxies.

Responsibilities

• Manage deployments, maintenance, upgrades, and day-to-day ops across cloud and containerized environments.
• Administer Linux/Unix servers and related infrastructure.
• Deploy and manage containerized apps using Docker, Docker Compose, and Kubernetes.
• Work with AWS and/or Azure cloud infrastructure and services.
• Troubleshoot production issues via logs, resources, configurations, and dependencies.
• Perform root-cause analysis and document solutions.
• Develop Bash scripts for automation and health checks.
• Support microservices and troubleshoot connectivity and env vars.
• Work with SQL databases and Redis for troubleshooting.
• Configure and manage Nginx/Apache and reverse proxies.
• Automate repetitive operational tasks.

Skills

Linux administration

Kubernetes

Bash/Shell scripting

Cloud platforms (AWS/Azure)

Networking basics

Troubleshooting

SQL knowledge

Redis familiarity

Log analysis

Communication skills

Tools

Docker

Docker Compose

Kubernetes

Terraform

Nginx/Apache

Python

Prometheus

Grafana

ELK/EFK

Job description

Experience- 3 Years - 6 Years

Organization- Emplay Analytics Inc

Salary (CTC) - As per company standards

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.