Full-Time

Principal Cloud Engineer

Platform Team

Updated on 9/4/2026

Gigaton

Gigaton

11-50 employees

AI-driven digital twin for industrial decarbonization

Compensation Overview

£85k - £125k/yr

+ Equity share options

London, UK

Hybrid

Hybrid work in London required.

Category
DevOps & Infrastructure (1)
Required Skills
MLOps
Microsoft Azure
Agile
Python
Incident Response
AWS
Terraform
Observability
DevOps
Google Cloud Platform

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Requirements
  • Deep experience with Amazon Web Services or Google Cloud Platform, with experience in both considered advantageous.
  • Solid understanding of cloud networking.
  • Fluency in Python and Terraform.
  • Experience designing or owning continuous integration and continuous delivery pipelines for frequent, safe releases.
  • Familiarity with agile technical practices, including pair programming, mob programming, and test-driven development.
  • Ability to balance sound engineering practices with pragmatic delivery decisions.
  • Comfort with ambiguity and ownership of problems from discovery through delivery.
  • Willingness to collaborate with others.
Responsibilities
  • Own key platform components across Amazon Web Services and Google Cloud Platform, shaping architecture for scalable and secure systems.
  • Deploy and operate workloads inside customer-owned cloud accounts, working directly with customer information technology and infrastructure teams to navigate requirements and constraints.
  • Assist more junior team members with their development and help them learn core software engineering skills and best practices.
  • Propose and drive improvements to existing systems and pipelines.
  • Make architectural decisions and develop a cloud and developer-experience roadmap for the engineering organization through collaborative work and design documents.
  • Provide technical review, pair programming, architectural oversight, and mentoring to teammates.
Desired Qualifications
  • Experience working in industrial, Internet of Things, or similarly complex environments.
  • Experience with Microsoft Azure.

Gigaton provides a SaaS platform that helps heavy industries cut emissions by building a digital twin for each plant using its historical and real-time data, with deep reinforcement learning to model processes. The Delta Zero AI layer suggests optimal operating parameters and can connect to a plant’s control systems for autonomous optimization without installing new hardware. It concentrates on cement, steel, and glass to lower fuel use, reduce operating costs, and drop CO2 emissions, with pilots showing up to 10% fuel savings and over 50 kilotonnes of CO2 reduced per plant per year. The aim is to scale industrial decarbonization by offering accessible optimization software to energy-intensive manufacturers worldwide.

Company Size

11-50

Company Stage

Series A

Total Funding

$47.1M

Headquarters

London, United Kingdom

Founded

2020

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 Series A raised $26 million, bringing total funding above $35 million.
  • Deployments at Adani Cement, Heidelberg Materials, Holcim, and Mannok show commercial traction.
  • Current customers report $1-3 million annual savings per plant and 30,000 tonnes CO2 cuts.

What critics are saying

  • Autonomous control software demands plant trust; one bad deployment can stall enterprise rollouts.
  • Incumbents like ABB, Siemens, and Honeywell own industrial control relationships and budgets.
  • If savings stay confined to a few plants, Gigaton remains a niche optimization vendor.

What makes Gigaton unique

  • Gigaton replaces control software for cement, steel, glass, and chemicals plants.
  • Its 2026 white paper with alcemy and CemAI validates a full cement-stack approach.
  • Series A backers Plural, 2150, and Semapa Next signal category credibility.

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Benefits

Company Equity

Flexible Work Hours

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-5%

2 year growth

-7%
World Cement
Jun 11th, 2026
Gigaton, alcemy, and CemAI publish white paper on AI's role across the cement production chain.

Gigaton, alcemy, and CemAI publish white paper on AI's role across the cement production chain. Gigaton, alcemy, and CemAI - Cement Intelligence, in partnership with World Cement, have released a new white paper titled "From quarry to lorry: how AI is solving cement's biggest production challenges." The guide brings together three companies operating across the cement and concrete production value chain to offer a practical, end-to-end roadmap for AI adoption. It covers the key prerequisites for successful deployment, including clean and connected data, domain expertise, and on-site leadership, alongside dedicated sections on predictive quality management, plant process optimisation, predictive maintenance, and driving long-term company-wide adoption. The white paper draws on real deployments with major producers and is aimed at plant managers, process engineers, quality specialists, and digital transformation leaders looking to move from AI ambition to measurable results. The release comes as Gigaton - formerly Carbon Re - announced a US$26 million Series A funding round, with deployments at Adani Cement, Heidelberg Materials, and Holcim already delivering over US$1 million in annual savings per plant. Visit alcemy for more information. Visit cemai for more information. Visit gigaton for more information. A podcast series for professionals in the cement industry featuring short, insightful interviews. Subscribe on your favourite podcast app to start listening today. Embed article link: (copy the HTML code below):

Tech Funding News
Jun 3rd, 2026
UCL and Cambridge spinout Gigaton raises $26M to autonomously control heavy industry, starting with cement — TFN

Gigaton (formerly Carbon Re) has raised $26M in a Series A led by Plural to scale AI-powered autonomous control systems for cement, steel, glass, and

GOV.UK
Sep 11th, 2023
AI for Decarbonisation Innovation Programme: Stream 2 successful projects

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