Job Description

DevOps | £600pd | Outside IR35 | Fully Remote | Data 

Are you a talented DevOps Engineer with a passion for building robust and scalable cloud infrastructure? We are seeking a dynamic professional to support the rollout of our innovative data strategy project. If you have a strong background in GitHub, Terraform, and AWS, this is an excellent opportunity to leverage your skills and drive impactful results!

Key Responsibilities:

CI/CD Pipeline Development: Design, build, and manage continuous integration and continuous delivery (CI/CD) pipelines using GitHub Actions to streamline deployments.

Infrastructure as Code (IaC): Develop and maintain Infrastructure as Code using Terraform to efficiently provision and manage AWS resources.

Deployment Automation: Automate deployment processes for data pipelines, analytics tools, and other critical components of our data strategy.

Network Security Design: Design secure network architectures using AWS Virtual Private Clouds (VPCs), subnets, and AWS PrivateLink to safeguard data privacy and security.Required Skills and Qualifications:

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

Minimum of 3 years of experience in DevOps or Site Reliability Engineering (SRE).

Strong expertise with GitHub and Git version control workflows.

Extensive hands-on experience with Terraform for infrastructure automation.

Deep knowledge of AWS services related to data and analytics (e.g., S3, EC2, RDS, Redshift, EMR, Glue).

Proficiency in CI/CD tools, particularly GitHub Actions.

Strong scripting abilities (Python, Bash, PowerShell).

Familiarity with containerization tools like Docker and Kubernetes.

Knowledge of monitoring and logging platforms (e.g., CloudWatch, CloudTrail).

Solid understanding of network security principles and experience implementing AWS security best practices.Preferred Qualifications:

AWS Certified DevOps Engineer - Professional certification.

Familiarity with data engineering concepts and big data technologies.

Experience with machine learning operations (MLOps).

Knowledge of serverless architectures on AWS (e.g., Lambda, Step Functions).

Understanding of data governance and regulatory compliance.

Experience managing multi-account AWS environments and AWS Organizations