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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in writing reliable, well-tested software using Python and Terraform, while improving software engineering practices across teams. Capable of mentoring engineers and driving architectural improvements in complex technical domains.
Highest-signal resume keywords
Python Software DevelopmentTerraform Infrastructure ManagementArchitectural Improvement IdentificationProduction Software MonitoringCI/CD Management with GitHub Actions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software TestingIterative Software DevelopmentControl EngineeringMachine LearningMLOpsAWS IoTDockerHaskellF#Elm
Soft Skills
MentoringProblem SolvingAdaptability
Tools & Technologies
AWSGCPAzureGitHub Actions
Industry Keywords
AI Control SystemsSoftware Engineering PracticesProduction SoftwareSystem QualityMaintainabilityReliability
Tech Stack
Tools & technologiesAWSAzureDockerGoogle Cloud PlatformHaskellIoTPythonTerraform
About the role
Key responsibilities & impact- Join Gigaton’s Platform team to build reliable software for autonomous AI control and optimisation systems
- Write reliable, well-tested software in Python and Terraform
- Monitor, support and improve production software
- Mentor less experienced engineers
- Identify, articulate and drive architectural improvements
- Improve software engineering practices across engineering and ML teams
- Improve system quality, maintainability and reliability
- Work in either the Enablement squad, helping engineers move faster, or the Product squad, supporting control software
- Participate in technical interviews including pair programming, system design and operating-principles discussions
Requirements
What you’ll need- Experience writing reliable, well-tested software in Python and Terraform
- Experience monitoring, supporting and improving software running in production
- Experience identifying, articulating and driving architectural improvements
- Strong software engineering practices across software and ML teams
- Familiarity with testing, pairing, mobbing and iterative software development
- Comfortable with complex technical domains, unfamiliar systems, ambiguity and evolving requirements
- Able to improve existing systems and take ownership through production
- Right to work in the UK without sponsorship
- Useful experience in control engineering, machine learning or MLOps
- Useful experience with AWS IoT, Greengrass or Mender
- Useful experience across AWS, GCP or Azure
- Useful experience managing CI/CD with GitHub Actions
- Useful experience building production artefacts with Docker
- Useful experience with Haskell, F# or Elm
- Useful experience with complex AI-enabled workflows
Benefits
Comp & perks- Share options/equity in the company
- Flexible working
- 30 days of holiday plus bank holidays
- Generous pension scheme
