Cloud DevOps Platform Engineer

DevOps / SRE London, England, United Kingdom

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Summary

Cloud Architect, DevOps, Data Engineer - prolific GitHub coder with 15+ years experience leading teams.

(Re-)Built several companies' infrastructures as a lead engineer.

AWS & GCP professional cloud architect with industry experience across Big Data (ex-Cloudera),
Data Mining, Consulting, Finance, Government, Startups, 24x7 Low Latency AdTech & Internet.

Led various teams of senior engineers since the 2000s.
End-to-end Consultant internationally for much of the 2010s.

Published thousands of programs / scripts for Cloud, DevOps, Kubernetes, Terraform, Big Data, NoSQL, Spark, Hadoop, Docker, Linux, Web, nearly every major CI/CD system, dozens of APIs, totalling over 250,000 lines of original code across a couple dozen GitHub repos, plus dozens of docker images with hundreds of versioned tags on DockerHub, and 500+ public CI builds, each testing dozens to hundreds of programs/scripts across most major Linux distributions and all 22 known major CI systems.

Top 0.01% of GitHub users by project stars - Contact

Extensive specialist experience in Cloud, DevOps, Kubernetes, APIs, CI/CD, Big Data, NoSQL, Distributed Systems, Linux, Web Scale Architecture, Microservices, Programming, Databases, Security, Networking, Load Balancing, Monitoring, Scripting & Automation gained in large mission-critical production infrastructures.

AWS Cloud engineer since 2012, Big Data & NoSQL engineer since 2009, Pythonista since 2005 and Linux engineer since 2003.

Versatile native english communicator with commercial awareness for cost effective architecture, leading international teams, consulting, vendor procurement, license negotiations, dealing with stakeholders and non-technical business users, all the way up to technology experts at their own level in nearly every domain, especially useful for holistic architecture with practical technical details and solving problems spanning teams and technology domain boundaries.

Expectations

Flexible performance-based working, remote work-from-anywhere, asynchronous chat-based communications with meetings and travel as necessary.

Open to international consulting.

Tech stacks should be cloud-based AWS / GCP / Azure with the usual mix of technologies Kubernetes, Python / Bash / Golang, CI/CD, GitHub Actions, Jenkins, APIs etc.