Lead Platform Engineer for Defence-tech AI Startup

JR United Kingdom; Milton Keynes; Remote; GBP 60,000 - 90,000; Full time

Job summary

A defence-tech AI startup in Milton Keynes is seeking a Lead Platform Engineer to design and implement cloud infrastructure for their innovative projects. This role offers remote flexibility and requires extensive DevOps experience, focusing on automation and collaboration with software and data teams. Join a high-impact venture that aims to make a significant difference in operational planning and public perception analysis.

Qualifications

• Solid DevOps experience across multiple platforms in data-heavy products.
• Experience in designing and implementing scalable cloud infrastructure.

Responsibilities

• Design, architect, and implement scalable cloud infrastructure for AI products.
• Promote best practices in automation and DevOps.
• Collaborate with engineers and data scientists to resolve platform challenges.

Skills

DevOps

Cloud Infrastructure

Automation

CI/CD

Incident Response

Job description

Social network you want to login/join with:

Lead Platform Engineer for Defence-tech AI Startup, Milton Keynes

Client:

Stealth Startup

Location:

Milton Keynes

Job Category:

Other

EU work permit required:

Yes

Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

Job Description:

We are a defence-tech startup from London specializing in technologies that analyze social data with AI and psychology to generate insights and intelligence.

The company aims to use data for social good, predicting threats and analyzing public perception on policies and initiatives.

Currently focused on key Defence projects, we see tremendous potential to impact operational planning. We are seeking an experienced Platform Lead to join our team.

Who are we looking for?

A Platform Lead with solid DevOps experience across multiple platforms in data-heavy products. The role offers remote flexibility.

Responsibilities

• Design, architect, and implement scalable cloud infrastructure and developer platforms for AI products and large data workloads.
• Promote best practices in automation, DevOps, MLOps, CI/CD, monitoring, and incident response.
• Collaborate with software engineers, data scientists, and product teams to meet infrastructure needs and resolve platform challenges.
• Ensure platform security, compliance, disaster recovery, and business continuity.
• Manage platform reliability, uptime, observability, and incident processes.
• Provide technical leadership, mentorship, and guidance to engineers.

If you're interested in a high-impact, rapidly growing venture with remote flexibility, please apply.