Principal Security Engineer – DevSecOps and Security Architect

PhysicsX
United Kingdom
5 days ago
Seniority
Lead
Posted
14 Apr 2026 (5 days ago)

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

The Role

As a Principal Security Engineer, you will partner closely with engineering teams to design and implement secure development practices, integrate security into our CI/CD pipeline, and lead security and design reviews.

You’ll bring deep expertise in DevSecOps, application security, hands-on experience securing web applications and APIs, and a strong understanding of modern development workflows. This is a unique opportunity to shape the future of our security program while working in a high-ownership, high-impact environment.

What you will do

  • Architect and integrate security tooling directly into CI/CD pipelines to automate the detection and prevention of vulnerabilities, ensuring "shift-left" security at scale.
  • Lead threat modeling and secure design reviews for web applications, APIs, and cloud services.
  • Oversee the end-to-end product vulnerability lifecycle, from issue triage, prioritization, remediation support, with clear risk communication.
  • Drive secure coding standards, develop playbooks, and provide hand-on training and mentorship to instill a security-first mindset across the organization.
  • Design and scale secure development practices by collaborating cross-functionally with engineering teams throughout the entire software lifecycle.
  • Engage with customers during security reviews

What you bring to the table

  • 10+ years in security, with a focus on DevSecOps and security design reviews
  • Hands-on experience with secure coding, OWASP Top 10, threat modeling, and SDLC integration
  • Experience with GitHub/GitLab, CI/CD, IaC, and containerized environments
  • Experience deploying and working with SAST tooling (e.g. Semgrep, Snyk)
  • Experience developing in Python and Go.
  • Track record of balancing pragmatism and security rigor in a fast-paced setting
  • Strong communication skills

Nice to Have Skills

  • Understanding of AI security fundamentals and how application security and AI security intersect
  • Experience securing cloud infrastructure
  • Participation in bug bounty programs and managing security disclosure
  • Familiarity with the BSIMM framework
  • Experience in cloud security including identity and access management and cloud-native services.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀Equity options - share meaningfully in the company you’re helping to build.

💰5% contribution to401(k) - build long-term security with a strong retirement plan.

🍽️Free team lunch 1x/week - good food, great company, and space to connect.

🏥Private health insurance – comprehensive cover for you, offering total peace of mind.

👶Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

📈Personal development – dedicated support for learning, development, and leveling up over time.

💪Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

💳Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.

🔎 Watch this space, we’re continuing to build this as we grow…

Salary for this position is from $200,000 to $300,000

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Related Jobs

View all jobs

Software Engineer (Principal level)

Synthesia London, United Kingdom
Hybrid

Principal Software Reliability Engineer - Consumer Identity

Entrust London, United Kingdom

(Alignment) Research Engineer/Research Scientist - Red Team

AI Safety Institute London, United Kingdom

Research Engineer/Research Scientist - Red Team (Misuse)

AI Safety Institute London, United Kingdom

Senior Software Engineer Delivery Lead – Tegra System Software

NVIDIA Cambridge, United Kingdom

Senior Software Engineer Delivery Lead – Tegra System Software

NVIDIA Bristol, United Kingdom

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.