At a Glance
- Tasks: Design and build cloud platforms for national security and AI safety.
- Company: Join a leading faculty focused on responsible, human-centric AI.
- Benefits: Flexible hours, competitive pay, and opportunities for mentorship.
- Other info: Collaborative environment with potential for part-time work and career growth.
- Why this job: Make a real impact in global stability and high-stakes missions.
- Qualifications: Experience in cloud networking, security, and coding skills required.
The predicted salary is between 63000 - 77000 £ per year.
Faculty develops and deploys responsible, human-centric AI for global customers across government, finance, retail, energy, life sciences, and defence. Its National Security and AI Safety business unit supports responsible AI development and deployment for national security, global stability, AI safety, and high-impact missions.
Responsibilities:
- Design and build cloud platform infrastructure across multi-environment setups, including ownership of security controls.
- Create and manage scalable Infrastructure as Code (IaC) for complex client environments.
- Optimise container orchestration via Kubernetes to ensure high availability and resource efficiency.
- Implement advanced monitoring, logging, and alerting frameworks to maintain production system health.
- Manage production environments and own incident response and root cause analysis.
- Collaborate with Software and ML engineers to ensure applications are architected for production readiness.
- Mentor and coach Engineers through peer reviews and the sharing of engineering best practices.
Requirements:
- Maintain high environment stability and drive infrastructure projects with minimal supervision, taking full accountability for system uptime.
- Apply deep experience in cloud networking, security, and identity management (IAM) to harden infrastructure against threats.
- Use Terraform or CloudFormation alongside hands-on coding proficiency to deliver consistent, repeatable infrastructure.
- Manage Kubernetes clusters and Docker environments at scale for modern ML platforms.
- Use strong Python skills to build robust platform tooling that allows agentic systems to interact reliably with infrastructure.
- Translate complex requirements into clear solutions and communicate technical trade-offs to engineering teams and client stakeholders.
- Be eligible for UK Developed Vetting (DV), if required for government client work.
Conditions:
- Candidates may need to work on site with government clients from time to time.
- Part-time hours are open for discussion.
- The interview process includes a Talent Team Screen, Pair Programming Interview, System Design Interview, and Commercial Interview.
- Candidates may opt out of the AI note-taker used in interviews.
platform engineer in national security and AI safety in London employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
StudySmarter Expert Advice🤫
We think this is how you could land platform engineer in national security and AI safety in London
✨Join Local Coding Meetups
Get involved in local coding meetups or tech events. These gatherings are perfect for networking with other software engineers, showcasing your skills, and even getting a chance to meet potential employers face-to-face. Plus, it's a great way to learn about part-time opportunities that might not be widely advertised.
✨Contribute to Open Source Projects
Dive into some open-source projects on platforms like GitHub. This not only enhances your coding skills but also builds a solid portfolio that shows potential employers your real-world experience. Open-source contributions can lead directly to job offers since many companies scout talent in the community.
✨Utilise University Career Services
If you're in or near university, make the most of those career services! They often have connections with local tech companies looking for part-time developers and can provide valuable resources for finding job leads or prep for interviews.
✨Showcase Your Work
Build a personal website or portfolio that highlights your projects, skills, and any relevant experience. It’s a fantastic way to stand out and we encourage you to link to it in your applications. Don't forget: you can easily apply for part-time roles through our website at Enfint—just remember to include that link!
We think you need these skills to ace platform engineer in national security and AI safety in London
Some tips for your application 🫡
Highlight Your Coding Skills:Make sure to prominently feature your coding skills in your CV. List the programming languages and technologies you're comfortable with, as well as any relevant projects you've worked on. Don’t forget to link to your GitHub profile or any other coding platform where you showcase your work – it's a great way for us at Enfint to see your skills in action!
Show Off Your Problem-Solving Skills:As a part-time software developer, problem-solving is key. In your application, try to include examples of how you've tackled tough coding challenges or bugs. If you can quantify your achievements, even better! This not only shows your technical prowess but also your ability to think critically and creatively.
Tailor Your CV for Part-Time Work:For a part-time role, it’s essential to show that you’re flexible and can manage your time well. Within your CV, highlight any previous experience balancing multiple commitments or projects. It’ll reassure us that you can juggle responsibilities without compromising on quality.
Craft Your Cover Letter with Passion:Your cover letter is your chance to show us your enthusiasm for software development. Share why you're excited about joining Enfint specifically, and what you hope to gain from this part-time role. Your motivation and eagerness to learn can really set you apart from the crowd!
How to prepare for a job interview at Enfint
✨Show Off Your Code
Make sure to prepare a few coding samples or projects to share during your interview for the part-time software engineering position at Enfint. Potential employers love to see tangible evidence of your skills, so having a well-organised GitHub profile or portfolio can really make you stand out.
✨Brush Up on Problem Solving
Expect a few technical questions or coding challenges that assess your problem-solving abilities. Companies like Enfint often want to see how you think through a problem, so practise common algorithms and data structures to showcase your thought process and technical know-how.
✨Know Your Tools
Familiarise yourself with the specific programming languages and tools relevant to the role. If the job listing mentions languages like Python or JavaScript, make sure you can discuss your experience with them confidently. Knowing frameworks and libraries they use can give you an edge.
✨Highlight Your Flexibility
Since this is a part-time position, be ready to discuss how you can manage your time effectively and fit the role around your other commitments. Being able to demonstrate your adaptability and proactivity shows that you can balance work, study, or other responsibilities without dropping the ball for Enfint.
