Senior DevOps Engineer: AWS, Terraform & CI/CD Specialist

Bounteous; Manchester; On-site; GBP 65,000 - 90,000; Full time

Job summary

Bounteous in Manchester seeks a skilled DevOps Engineer with AWS, Terraform, CI/CD, and cloud automation expertise to design, implement, and maintain scalable infrastructure for modern web applications.

You will implement IaC, manage AWS services, and build pipelines in GitLab, while ensuring observability, security, and efficient deployments. Strong Python and Shell scripting, plus Docker, are essential for ongoing automation.

Qualifications

• Experience writing Infrastructure as Code (IaC) with Terraform.
• Strong AWS expertise across services (Lambda, S3, API Gateway, CloudFront, IAM).
• Hands-on experience building observability/monitoring solutions.
• Experience building and maintaining CI/CD pipelines (GitLab).
• Automation scripting experience using Python and Shell.
• Containerization with Docker and deployment workflow orchestration.
• Knowledge of cloud security best practices and IAM governance.

Responsibilities

• Design, develop, and maintain Infrastructure as Code (IaC) using Terraform.
• Build and manage scalable AWS environments with Lambda, S3, API Gateway, CloudFront, and IAM.
• Create and maintain CI/CD pipelines using GitLab.
• Develop automation tools and scripts using Python and Shell.
• Build and optimize Docker containers and deployment workflows.
• Implement monitoring, logging, and observability for production platforms.
• Troubleshoot infrastructure, networking, performance, security, and deployment issues.
• Enforce cloud security best practices and IAM governance.

Skills

Terraform

AWS

Observability

Docker

GitLab CI/CD

Python

Shell scripting

Cloud security

Job description

Bounteous in Manchester seeks a skilled DevOps Engineer with AWS, Terraform, CI/CD, and cloud automation expertise to design, implement, and maintain scalable infrastructure for modern web applications.

You will implement IaC, manage AWS services, and build pipelines in GitLab, while ensuring observability, security, and efficient deployments. Strong Python and Shell scripting, plus Docker, are essential for ongoing automation.