At a Glance
- Tasks: Build and maintain cloud infrastructure for AI drug discovery.
- Company: Healx, a pioneering company in AI-driven drug discovery.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team where your contributions directly influence patient outcomes.
- Why this job: Make a real impact on healthcare by supporting innovative drug discovery processes.
- Qualifications: 2+ years of cloud experience, preferably with AWS and Terraform.
The predicted salary is between 45000 - 55000 € per year.
Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills from all walks of life and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply!
We’re looking for a mid level engineer with solid hands on experience building cloud infrastructure in a commercial environment who is keen to apply what they already know and learn new skills. You are highly collaborative and driven to solve problems that help others and drive the Healx mission. You have hands‑on experience (typically around 2+ years) working with a cloud platform, ideally AWS, and are excited about building cloud infrastructure following best practices. You are a proponent and practitioner of infrastructure as code principles, ideally with experience in Terraform, and have experience building, maintaining and scaling CI/CD pipelines. Solid experience writing maintainable and well‑tested code following best practices in at least one language (we use mainly Python and some Go). An automation mindset, ideally with experience building production workflows in tools like Airflow.
What the job involves:
Healx is hiring a motivated Platform Engineer to build cloud infrastructure and develop production pipelines that enable our AI drug discovery process. You will bridge the gap between infrastructure and scientific software, both designing, building and supporting cloud infrastructure and collaborating with bioinformaticians, machine learning engineers and data scientists to implement data pipelines. You will join a small, agile engineering team where individuals take ownership of tasks, innovate quickly and collaborate extensively through pair programming. Working closely with technical members of data and digital science teams you will clearly see the impact your work has on pioneering the next generation of AI drug discovery and finding treatments for rare disease patients in need. Our engineers understand and use AI development tools to solve problems and implement systems efficiently while retaining responsibility for system design, implementation and testing of code. We aim to move quickly while building systems we understand deeply and can maintain.
- Design, build, maintain and improve cloud infrastructure in AWS (and some GCP) to enable AI drug discovery workflows.
- Follow infrastructure as code (IaC) and CI/CD principles to build maintainable infrastructure using Terraform and CircleCI.
- Take advantage of latest AWS tools and apply best practices across our cloud estate to ensure security, availability and observability.
- Work closely with technical users across the company to understand and support their computational needs.
- In collaboration with data scientists write code to build, test and automate production pipelines in tools such as Nextflow, Airflow, MLflow and KNIME.
- Embrace the use of AI coding tools and agents to accelerate delivery while retaining responsibility for system design, implementation and testing of code.
You will know you are successful when:
- You have strong ownership of parts of our cloud infrastructure, familiarity with our Terraform codebase and are shipping regular improvements.
- Infrastructure you've designed and deployed is supporting drug discovery pipelines.
- You have taken ownership of security, cost management and observability in our cloud estate.
- Computational workflows are in production that you've built in Nextflow, Airflow, MLflow or similar in collaboration with digital scientists.
- You have shipped maintainable code to enable lambda functions, automation scripts and internal tools in several of our Python repositories.
Platform Engineer in Cambridge employer: Deepstreamtech
Healx is an exceptional employer for Platform Engineers, offering a dynamic and collaborative work environment where innovation thrives. With a strong focus on employee growth, you will have the opportunity to enhance your skills in cloud infrastructure and AI drug discovery while making a meaningful impact on the lives of rare disease patients. Our agile team culture encourages ownership and creativity, ensuring that your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer in Cambridge
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to cloud infrastructure and CI/CD pipelines. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AWS, Terraform, and CI/CD practices. Practising with a friend or using mock interview platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who resonate with our mission. Even if you don’t tick every box, we want to hear from you!
We think you need these skills to ace Platform Engineer in Cambridge
Some tips for your application 🫡
Show Your Passion:When you’re writing your application, let your enthusiasm for our mission shine through! We love seeing candidates who resonate with our values and are genuinely excited about the role. Don’t be shy – share why you want to be part of our journey!
Highlight Relevant Experience:Make sure to showcase your hands-on experience with cloud infrastructure, especially if you've worked with AWS or Terraform. We want to see how your skills can contribute to our projects, so don’t forget to mention any relevant tools or languages you’ve used!
Be Yourself:We appreciate authenticity, so don’t feel pressured to fit into a specific mould. If you think you have transferable skills that could benefit us, go ahead and include them! We’re all about collaboration and innovation, so your unique background might just be what we need.
Apply Through Our Website:Ready to take the plunge? 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 shows you’re keen to join our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Cloud Stuff
Make sure you brush up on your cloud infrastructure knowledge, especially AWS. Be ready to discuss your hands-on experience and any projects you've worked on that involved building or maintaining cloud systems. Highlight how you've applied best practices in your previous roles.
✨Show Off Your Coding Skills
Since the role involves writing maintainable code, be prepared to talk about your experience with Python and any other languages you know. Bring examples of your work, especially if you've implemented CI/CD pipelines or used Terraform for infrastructure as code. This will show that you can not only talk the talk but also walk the walk.
✨Collaboration is Key
This position requires a lot of teamwork, so be ready to share examples of how you've collaborated with others in the past. Whether it's working with data scientists or bioinformaticians, demonstrate your ability to communicate effectively and solve problems together.
✨Embrace the Automation Mindset
Talk about your experience with automation tools like Airflow or Nextflow. Share specific instances where you've built production workflows or automated processes. This will show that you have the right mindset for the role and are keen on improving efficiency.
