At a Glance
- Tasks: Build secure systems for lawful data access and improve workflows with innovative tech.
- Company: Join OpenAI, a leader in AI research dedicated to benefiting humanity.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse perspectives and strong career advancement potential.
- Why this job: Make a real impact on privacy and security while working with cutting-edge technology.
- Qualifications: Experience in software engineering and a passion for handling sensitive data responsibly.
The predicted salary is between 60000 - 80000 £ per year.
The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls.
We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows.
In this role, you will:
- Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit.
- Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly.
- Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows.
- Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences.
- Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability.
- Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements.
- Help define the architecture and roadmap for reusable privacy and legal-infrastructure foundations as OpenAI’s products and obligations evolve.
You might thrive in this role if you:
- Have experience building or operating systems for lawful data access requests and understand the domain’s legal-process lifecycle, privacy and security constraints, auditability requirements, and operational sensitivities.
- Strong backend engineering fundamentals and experience building production services or data-intensive systems.
- Ability to reason carefully about correctness, authorization, security, and privacy when working with sensitive data.
- A track record of turning ambiguous requirements into pragmatic plans and communicating technical tradeoffs clearly.
- End-to-end ownership, including operating what you build, and comfort learning unfamiliar products and domains.
- Care for operator experience and a drive to make complex workflows safer, clearer, and more efficient.
- Experience collaborating across Engineering, Legal, operations, Privacy, and Security stakeholders.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
Software Engineer, Privacy Engineering (Lawful Access) employer: OpenAI
OpenAI is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative projects that foster professional development. The company's commitment to reliability and optimization in machine learning ensures that your contributions will have a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Privacy Engineering (Lawful Access)
✨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 OpenAI 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 OpenAI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like OpenAI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like OpenAI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer, Privacy Engineering (Lawful Access)
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 OpenAI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at OpenAI 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 OpenAI
✨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 OpenAI 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.