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# DevOps Engineer (AWS)

- **Company:** Morgan McKinley
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Automation of Tests, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Information Engineering, DevOps, Identity and Access Management, Python (Programming Language), PostgreSQL, MongoDB, SQL Databases, Scripting, Delivery Pipeline, Reliability of Systems, Data Layers, Gitlab-ci, Kubernetes, Apache Kafka, Codebase, Terraform
- **Published:** July 14, 2026
- **Apply:** https://www.reed.co.uk/jobs/devops-engineer-aws/57119239

## About the Role

This role is ideal for an ambitious engineer with 3 to 5 years of experience who has mastered core infrastructure but wants to lean further into software automation, internal tooling, and data engineering - positioning themselves for a rapid trajectory into a Senior Engineer role., * Experience: 3-5 years of dedicated cloud engineering, platform engineering, or DevOps experience, showing a strong upward trajectory toward seniority.

 * Cloud & IaC: Strong production experience with AWS core services (EKS, IAM, RDS) and Terraform/Terragrunt.
 * Scripting & Data: Competence in Python and SQL - You must be comfortable interacting with codebases and writing internal tools, not just building dashboards.
 * Mindset: A sharp, concise communicator who stays calm under time-sensitive system pressures and values pragmatic execution over perfection., * AWS
 * Terraform
 * Terragrunt
 * DevOps
 * Kubernetes
 * MongoDB
 * Python
 * SQL

## Description

* Infrastructure as Code: Own, scale, and evolve multi-environment AWS infrastructure natively using Terragrunt and Terraform.
 * Data & Orchestration: Maintain production Kubernetes (EKS) clusters, alongside managing data layers including Postgres (Aurora), MongoDB, and Kafka streams.
 * Software Tooling: Write clean automation scripts, internal platform tools, and targeted database fixes using Python and SQL to streamline the delivery lifecycle.
 * CI/CD & Observability: Build out robust deployment pipelines in GitLab CI and leverage Datadog to optimize system reliability and reduce operational firefighting.


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