Senior DevOps Engineer (AWS)

Impelsys; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Impelsys is seeking a hands-on Senior DevOps Engineer to design, build, and manage cloud infrastructure on AWS across Development, QA, UAT and Production environments.

The role emphasizes CI/CD automation, infrastructure as code with Terraform, containerization with Docker, and strong collaboration with development teams to deliver scalable cloud solutions.

Qualifications

• 7–10 years of experience in DevOps or Cloud Engineering.
• Strong hands-on experience with AWS Cloud.
• Strong Python scripting skills for automation.
• Experience with Docker and container-based deployments.
• Hands-on experience with Terraform for IaC.

Responsibilities

• Design, build and maintain AWS infrastructure across Development, QA, UAT and Production environments.
• Build and maintain CI/CD pipelines using Jenkins and GitHub.
• Develop automation scripts using Python and Shell scripting to simplify infrastructure and deployment activities.
• Containerize applications using Docker and support Kubernetes/ECS deployments where applicable.
• Automate infrastructure provisioning using Terraform and IaC.

Skills

AWS

Python scripting

CI/CD

Automation

Shell scripting

Cloud engineering

Production support

Tools

Terraform

Docker

Kubernetes

Jenkins

GitHub

Job description

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We are looking for a hands‑on Senior DevOps Engineer to build, automate, and manage cloud infrastructure on AWS. The ideal candidate should have strong experience with AWS, Jenkins, Docker, Python scripting, and CI/CD automation, along with expertise in infrastructure automation and production support.

This role requires someone who can improve deployment processes, automate repetitive tasks, ensure platform reliability, and work closely with development teams to deliver scalable and secure cloud solutions. The original role emphasizes managing AWS infrastructure across environments, infrastructure automation, CI/CD, and operational excellence.

Key Responsibilities

• Design, build and maintain AWS infrastructure across Development, QA, UAT and Production environments.
• Build and maintain CI/CD pipelines using Jenkins and GitHub.
• Develop automation scripts using Python and Shell scripting to simplify infrastructure and deployment activities.
• Containerize applications using Docker and support Kubernetes/ECS deployments where applicable.
• Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC).
• Monitor application and infrastructure health using CloudWatch, Grafana, Splunk, New Relic and other monitoring tools.
• Troubleshoot production issues, perform Root Cause Analysis (RCA), and improve platform reliability.
• Implement security best practices including IAM, Secrets Management, SSL certificate management and vulnerability remediation.
• Collaborate with development teams to improve deployment efficiency and release quality.
• Support production operations, incident management, capacity planning and on‑call activities.

Required Technical Skills

• AWS (EC2, VPC, IAM, ECS/EKS, S3, CloudWatch, Route53, RDS, Lambda)
• Good understanding of AWS security, networking and infrastructure best practices

CI/CD & Automation

• Jenkins (Primary)
• GitHub
• GitHub Actions (Good to have)
• Python scripting
• Bash/Shell scripting

Containerization

• Docker (Primary)
• ECS/Fargate

Infrastructure as Code

• Terraform
• Terragrunt (Good to have)

Monitoring & Observability

• CloudWatch
• Grafana
• Splunk
• New Relic
• OCI Observability (Good to have)

Operating Systems

• Windows Server

Security

• IAM
• SSL Certificate Management
• CrowdStrike Falcon
• Rapid7 Vulnerability Management
• Secrets Management
• KMS

Site Reliability Engineering (SRE)

• Production Support
• Root Cause Analysis (RCA)
• Monitoring & Alerting
• SLI/SLO Management
• Capacity Planning
• On‑call Support

Database & Storage

• SQL

AI Productivity Tools

• ChatGPT
• OpenAI Codex
• AI‑assisted Automation
• Prompt Engineering

Experience

• 7–10 years of experience in DevOps or Cloud Engineering.
• Strong hands‑on experience with AWS Cloud.
• Strong Python scripting skills for automation.
• Experience working with Docker and container-based deployments.
• Hands‑on experience with Terraform for Infrastructure as Code.
• Experience supporting highly available production environments.

Preferred Qualifications

• AWS Solutions Architect Associate/Professional Certification.
• AWS DevOps Engineer Professional Certification.
• Experience with Kubernetes, Ansible and Terraform.
• Excellent troubleshooting, communication and collaboration skills.