At a Glance
- Tasks: Secure AI systems and build robust cloud security architecture.
- Company: Join Anthropic, a leading AI safety-focused tech company.
- Benefits: Competitive pay, equity options, flexible hours, and generous leave policies.
- Why this job: Make a real impact on AI safety and trust while working with cutting-edge technology.
- Qualifications: 5-15 years in software engineering, strong Python skills, and cloud infrastructure experience.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 36000 - 60000 £ 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.
About the role
The Security Engineering team’s mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we’re developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
Responsibilities
- Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls.
- Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration, and identity management.
- Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows.
- Apply deep expertise in threat modeling and risk assessment to secure complex multi-cloud environments.
- Mentor engineers and contribute to hiring and growth of the Security team.
You may be a good fit if you
- 5-15+ years of software engineering experience implementing and maintaining critical systems at scale.
- Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
- Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++).
- Experience managing infrastructure at scale with DevOps and cloud automation best practices.
- Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship.
- Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics.
- Outstanding communication skills, translating technical concepts effectively across all organizational levels.
- Demonstrated success in bringing clarity and ownership to ambiguous technical problems.
- Strong systems thinking with ability to identify and mitigate risks in complex environments.
- Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams.
- Experience supporting fast-paced startup engineering teams.
- Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values.
Strong candidates may also have experience with
- Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement.
- Building secure development workflows through hardened remote environments.
- Implementing network segmentation and access controls in cloud environments.
- Managing infrastructure through automated configuration and policy enforcement.
- Hardening containerized applications and enforcing security policies.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Logistics
- Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
- Location-based hybrid policy: 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.
- Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. 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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How we’re different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than working on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. 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 London employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Security Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to security engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions, especially around security practices and cloud environments. Remember, confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission at Anthropic.
We think you need these skills to ace Software Security Engineer in London
Some tips for your application 🫡
Show Your Passion for AI Safety: When writing your application, let us know why you're passionate about AI safety and alignment. Share any relevant experiences or projects that highlight your commitment to making AI systems interpretable and aligned with human values.
Highlight Your Technical Skills: Make sure to showcase your software engineering skills, especially in Python or other systems languages like Go or Rust. We want to see how your technical expertise can contribute to building secure, high-reliability services.
Be Clear and Concise: In your written application, clarity is key! Use straightforward language to explain your experiences and achievements. This helps us understand your background and how you can fit into our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Don’t hesitate – we’re excited to hear from you!
How to prepare for a job interview at Anthropic
✨Know Your Stuff
Make sure you brush up on your software engineering skills, especially in Python or any systems language like Go or Rust. Be ready to discuss your experience with cloud security architecture, CI/CD pipelines, and Infrastructure-as-Code practices. The more specific examples you can provide, the better!
✨Show Your Passion for AI Safety
Anthropic is all about creating safe and beneficial AI systems, so it’s crucial to express your passion for AI safety and alignment during the interview. Share any relevant projects or experiences that highlight your commitment to making AI systems interpretable and aligned with human values.
✨Communicate Clearly
Outstanding communication skills are a must! Practice explaining complex technical concepts in simple terms, as you'll need to translate these ideas across various organisational levels. Think of examples where you've successfully communicated with non-technical stakeholders.
✨Be a Team Player
Anthropic values collaboration, so be prepared to discuss how you've mentored others and contributed to team growth in previous roles. Highlight your experience in leading cross-functional initiatives and how you’ve navigated complex organisational dynamics to achieve security goals.