At a Glance
- Tasks: Build and deploy secure cloud infrastructure for AI and ML workflows.
- Company: Join a leading AI company transforming healthcare with innovative technology.
- Benefits: Unlimited annual leave, private healthcare, flexible working, and coaching support.
- Other info: Diverse team culture with excellent career growth and part-time options available.
- Why this job: Shape the future of AI while collaborating with top-tier clients and experts.
- Qualifications: Experience with AWS, Azure, Terraform, Docker, Kubernetes, and strong networking skills.
The predicted salary is between 63000 - 77000 £ per year.
We established Faculty in 2014 because we thought that AI would be the most important technology of our time.
Since then, we've worked with over 350 global customers to transform their performance through human-centric AI.
We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well.
We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen.
About the team Bringing medicine to patients is complex, expensive and high-risk.
Faculty's Life Science's team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.
We partner with major pharma firms, academic research centres and Med Tech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all.
About the role We're looking for a Platform Engineer to build the backbone of applied artificial intelligence for our customers.
You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows.
Working in a cross-functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions.
Building robust, secure, and scalable cloud infrastructure for AI and ML workflows.
Partnering with technical and non-technical stakeholders, from initial idea generation through to implementation and shipping.
Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos.
Who we're looking for: You are pragmatic and outcome-focused, balancing the big picture with the details to execute complex projects in the real world.
You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done.
You possess deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform.
You are experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong CI/CD and Git Ops practices.
You possess proficient knowledge of Networking and Cloud Security You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping.
The Interview Process Talent Team Screen (30 minutes)Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes)Our Recruitment Ethos We aim to grow the best team - not the most similar one.
We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth.
Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles.
We are open to conversations about part-time hours.
A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews.
We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Senior AWS Engineer/Platform Engineer | in London employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, particularly for the Head of Banking role, where you will lead transformative AI initiatives in a dynamic banking landscape. Our culture fosters innovation and collaboration, offering unlimited annual leave, private healthcare, and family-friendly flexibility to ensure a healthy work-life balance. With a strong commitment to employee growth through mentorship and coaching, we empower our team to thrive in a supportive environment that values diverse perspectives and encourages meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AWS Engineer/Platform Engineer | 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 Faculty 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 Faculty.
✨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 Faculty.
✨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 Faculty 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 Senior AWS Engineer/Platform Engineer | 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 Faculty.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Faculty 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 Faculty
✨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 Faculty 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.
