At a Glance
- Tasks: Secure large-scale AI systems and design robust network security controls.
- Company: Join Anthropic, a leader in creating safe and beneficial AI.
- Benefits: Competitive salary, flexible hours, generous leave, and equity donation matching.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact on AI safety while working with cutting-edge technology.
- Qualifications: 8-15+ years in software engineering with strong skills in Python or systems languages.
The predicted salary is between 63000 - 77000 £ per year.
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large.
Responsibilities:
- Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls.
- Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity.
- Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries.
- Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so.
- Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management.
- Threat model and assess risk for complex multi-cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one.
- Mentor engineers and contribute to hiring and growth of the Security team.
Requirements:
- Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale.
- Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++).
- Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code.
- Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation.
- Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening.
- Experience with threat modeling and risk assessment for networked and multi-cloud systems.
- Track record of driving engineering excellence through high standards, constructive code reviews and mentorship.
- Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems.
- Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams.
- Experience supporting fast-paced startup engineering teams.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role as demonstrated through coursework, training, or professional experience.
Preferred:
- Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed.
- Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security.
- Built network traffic visibility or exfiltration detection systems.
- Exposure to large-scale distributed training and what it demands of a network.
- Led cross-functional security initiatives and navigated complex organizational dynamics.
- Managing infrastructure through automated configuration and policy enforcement.
- Hardening containerized applications and enforcing security policies.
Conditions:
- £255,000—£325,000 GBP.
- Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
- We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
- We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Software security engineer in AI infrastructure in London employer: Anthropic Limited
At Anthropic Limited, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment where your contributions directly impact our cutting-edge AI solutions. Join us to be part of a forward-thinking team that values safety and excellence in technology, while enjoying the vibrant lifestyle that London has to offer.
StudySmarter Expert Advice🤫
We think this is how you could land Software security engineer in AI infrastructure in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Anthropic Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Anthropic Limited.
✨Tap into Online Developer Communities
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We think you need these skills to ace Software security engineer in AI infrastructure in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Anthropic Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Anthropic Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Anthropic Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Anthropic Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.