Steve Engledow
Manager, AI Engineering at Amazon Web Services (AWS)
Norwich, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSteve Engledow is a seasoned technical leader with 25 years of experience who currently manages a global AI Engineering team at AWS, building art-of-the-possible demos that accelerate cloud adoption and drive measurable customer outcomes. He blends hands-on software and cloud architecture expertise—particularly with 15+ years delivering production software on AWS—with Solutions Architecture sensibilities to turn customer problems into repeatable, high-impact proofs of concept. A pragmatic manager who leads with empathy, he creates space for teams to iterate quickly while maintaining technical excellence and clear stakeholder communication. Steve is an active contributor to AWS-focused open source tooling (notably work on CloudFormation utilities like rain and template-flip), reflecting his deep operational knowledge of infra-as-code and developer workflows. Based in Norwich, UK, he combines customer-facing delivery experience from Professional Services with broad engineering leadership across AWS and earlier startups, bringing a rare mix of delivery discipline and inventive technical storytelling.
13 years of coding experience
8 years of employment as a software developer
2:1 Philosophy Linguistics, 2:1 Philosophy Linguistics at University of East Anglia
Spanish, English
Github Skills (30)
json10
boto10
python10
testing10
command-line-interface10
aws-lambda10
cloud-infrastructure10
aws-sdk10
aws-cloudformation10
go10
pyyaml10
yaml10
command-line10
error-handling10
cli10
Programming languages (9)
Github contributions (5)
awslabs/aws-cfn-template-flip
Dec 2016 - Oct 2021
Tool for converting AWS CloudFormation templates between JSON and YAML formats.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 161 commits, 43 PRs in 4 years 10 months
Contributions summary:Steve contributed to the development of a tool that converts AWS CloudFormation templates between JSON and YAML formats. Their contributions included implementing core functionality for converting between the two formats, specifically through the `flip`, `to_json`, and `to_yaml` methods. They also added support for features such as cleaning up the templates by replacing `Fn::Join` with `Fn::Sub` and handling strings with newlines. Furthermore, the user was involved in fixing Python 3 compatibility issues and improving the internal structure of the project.
aws-cliaws-cloudformationjqamazon-web-servicesconverting
aws-cloudformation/rain
Mar 2019 - Jul 2022
A development workflow tool for working with AWS CloudFormation.
Role in this project:Full-stack Developer & DevOps Engineer
Full-stack Developer & DevOps EngineerContributions:23 releases, 13 reviews, 452 commits in 3 years 4 months
Contributions summary:Steve's commits demonstrate a deep involvement in developing and refining a CloudFormation workflow tool. The commits include adding features such as the `cat`, `diff`, `build`, `merge` and `console` commands, refactoring existing code to improve usability and efficiency and implementing a wide array of new flags for various use cases. The user also focused on improving documentation, handling error conditions, integrating the AWS SDK, and establishing a consistent, user-friendly command structure.
aws-cloudformationcloud-infrastructuredevopsworkflow-toolaws-sam
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