Lead Platform Engineer for Defence-tech AI Startup

JR United Kingdom; Northampton; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading defence-tech AI startup is seeking a Platform Lead in Northampton to design and maintain cloud infrastructure for AI products. The ideal candidate will have extensive DevOps experience and lead an engineering team while ensuring platform security and reliability. This role offers remote flexibility within a rapidly growing venture.

Qualifications

• Proven experience in a DevOps role managing data-heavy products.
• Experience with automation best practices and CI/CD methodologies.
• Ability to work closely with engineering and data science teams.

Responsibilities

• Design and maintain scalable cloud infrastructure for AI and data workloads.
• Implement DevOps best practices and manage platform reliability.
• Lead and mentor engineering team members.

Skills

DevOps

Cloud infrastructure

CI/CD

MLOps

Incident management

Job description

Social network you want to login/join with:

Lead Platform Engineer for Defence-tech AI Startup, Northampton

Client:

Stealth Startup

Location:

Northampton, United Kingdom

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 that specializes in technologies that analyze social data with AI and psychology to generate insights and intelligence that were not possible before.

The company was founded on the premise that data can be used for social good. Our technology aims to predict potential threats to companies, analyze public perception on policies, and more.

We focus on key projects within Defence to impact operational planning. We seek an experienced Platform Lead to join our team.

Who are we looking for?

A Platform Lead with solid DevOps experience across multiple platforms handling data-heavy products. Remote work is available.

Responsibilities

• Design, build, and maintain scalable cloud infrastructure and developer platforms for AI products and large data workloads.
• Implement best practices in automation, DevOps, MLOps, CI/CD, monitoring, and incident management.
• Work closely 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 response.
• Lead, mentor, and guide engineering team members.

If you seek a high-impact, rapidly growing venture with remote flexibility, please apply.