At a Glance
- Tasks: Design and maintain scalable cloud infrastructure for ML research and model deployment.
- Company: Innovative company at the forefront of science and technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to revolutionising therapeutics.
- Why this job: Make a real impact in the world of science and machine learning.
- Qualifications: Experience in backend and cloud technologies, with a passion for coding.
The predicted salary is between 60000 - 80000 £ per year.
This role is ideally suited to an experienced software engineer, who loves building scalable cloud infrastructure, and applies software engineering principles to infrastructure code. As a member of our engineering team, you will play a key role in designing, creating and maintaining infrastructure that allows our ML research scientists to run training and inference on a massive scale, and help deliver model results to molecular scientists. If you’re a software engineer who is interested in science and ML, you’ll be at home here. No machine learning experience is required for this role, although experience with production ML model deployment would be beneficial. Using your talent for writing and maintaining reliable systems, you will play a key role in revolutionising the creation of cutting-edge therapeutics.
Who are you
- A skilled engineer who is excited developing and deploying infrastructure that will have an immediate impact on the engineering team
- Solid understanding and working knowledge of backend and cloud technologies
- A passionate developer who loves the challenge of writing testable code
Useful skills
- Expert knowledge of cloud infrastructure (AWS preferred), including multi-account setups and best practices
- Cloud engineering – using infrastructure as code (IaC) tooling (Terraform, Pulumi, CloudFormation)
- Containerised application/tool development using Docker or Kubernetes
- Solid development skills (Python/Typescript preferred), with an ability to structure code for testability
Senior Platform Engineer in London employer: CHARM Therapeutics
Join a forward-thinking company that values innovation and collaboration, where as a Senior Platform Engineer, you will contribute to groundbreaking projects in the field of molecular science. Our supportive work culture fosters continuous learning and professional growth, offering opportunities to enhance your skills in cloud infrastructure and software engineering. Located in a vibrant tech hub, we provide a dynamic environment that encourages creativity and teamwork, making it an ideal place for passionate engineers eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and ML space. Attend meetups, webinars, or even online forums where you can chat with folks who are already in the industry. You never know who might have a lead on that perfect Senior Platform Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud infrastructure and IaC tools like Terraform or Pulumi. This is your chance to demonstrate your expertise and passion for building scalable systems, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of backend technologies. Practice common algorithms and system design questions, and don’t forget to highlight your experience with Docker and Kubernetes during discussions!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to reflect your enthusiasm for science and ML, and let us know how your skills can help revolutionise the creation of cutting-edge therapeutics.
We think you need these skills to ace Senior Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with cloud infrastructure and software engineering principles. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for building scalable systems and how you can contribute to our mission. We love seeing enthusiasm for science and ML, so let that excitement come through in your writing.
Showcase Your Technical Skills:When filling out your application, make sure to mention your expertise in cloud technologies and any experience with IaC tools like Terraform or Docker. We’re keen on candidates who can demonstrate their technical prowess and problem-solving abilities.
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. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at CHARM Therapeutics
✨Know Your Cloud Inside Out
Make sure you brush up on your knowledge of cloud infrastructure, especially AWS. Be ready to discuss multi-account setups and best practices, as these are crucial for the role. We recommend preparing some examples of how you've implemented these in past projects.
✨Show Off Your IaC Skills
Familiarise yourself with infrastructure as code (IaC) tools like Terraform, Pulumi, or CloudFormation. During the interview, be prepared to explain how you've used these tools to automate deployments and manage infrastructure efficiently. We love seeing practical applications of your skills!
✨Demonstrate Your Coding Expertise
Since solid development skills are key, make sure you can talk about your experience with Python or Typescript. We suggest preparing a few coding examples that highlight your ability to write testable code. This will show your passion for clean, maintainable systems.
✨Connect Your Work to Science
Even if you don't have direct machine learning experience, showing an interest in how your work impacts ML research can set you apart. Think about how your engineering skills can support molecular scientists and be ready to discuss this connection during the interview.
