Jobs Companies NLPatent Senior DevSecOps Engineer

Über diese Senior DevSecOps Engineer Stelle bei NLPatent

NLPatent · Vor Ort · London, United Kingdom

NLPatent is an AI-driven patent search and analytics company helping enterprises, law firms, and universities research patents through large language models and proprietary patent-focused technology. Operating in the computer software space, we build tools that make complex patent intelligence more accessible, efficient, and actionable for organizations that depend on high-quality research and analysis.

As a Senior DevSecOps Engineer at NLPatent, you will play a key role in strengthening the security, reliability, and scalability of the systems that support our platform. This role is central to advancing a secure-by-design engineering approach, helping the business maintain compliance while enabling rapid, dependable delivery. You will work closely with engineering teams to embed security thinking across the development lifecycle and support the continued growth of a robust, resilient infrastructure.

Requirements

  • 5+ years of experience in DevSecOps or related roles
  • Strong AWS expertise
  • Experience with Terraform
  • Proficient with CI/CD pipelines and automation
  • Deep understanding of security best practices and compliance frameworks (e.g., SOC 2, ISO 27001)
  • Experience with containerization technologies such as Docker and Kubernetes
  • Experience with Grafana/Prometheus stack
  • Experience with Ansible
  • Experience working in a SaaS or technology product business
  • Eligibility to work in the UK

Benefits

  • Competitive salary of 75000-85000 GBP annually
  • Flexible working
  • Pension
  • Training & Development
  • Stock Option Plan
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Über NLPatent

NLPatent is an industry leading AI-based patent search and analytics platform trusted by Fortune 500 companies, Am Law 100 firms, and research universities around the world. The platform takes an AI-first approach to patent search; it's built from a proprietary Large Language Model trained on patent data to truly understand the language of patents and innovation. Users simply describe their invention in full sentences and conceptually relevant results are generated instantly; consistently outperforming human experts on speed and accuracy. The system is simple, intuitive, and iterative. Best of all, it explains the relevant sections of each patent it identifies, removing the "black box" often experienced by other AI-based platforms.

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