At a Glance
- Tasks: Design and maintain secure, scalable cloud infrastructure for groundbreaking immune therapies.
- Company: Fast-growing biotech company revolutionising immune dysfunction treatments.
- Benefits: Competitive salary, health benefits, and opportunities to work with cutting-edge technology.
- Other info: Dynamic environment with excellent career growth and exposure to innovative technologies.
- Why this job: Join a mission-driven team making a real impact in healthcare and science.
- Qualifications: Experience in DevOps, AWS, and data pipeline design; collaboration skills essential.
The predicted salary is between 60000 - 80000 £ per year.
Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells.
As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science.
This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics.
- Design and maintain secure, scalable cloud infrastructure (AWS)
- Build and optimise CI/CD pipelines for scientific workflows (e.g. Architect data pipelines and platforms for structured and unstructured data Power BI, Spotfire, Microsoft Fabric)
- Enhance data governance, lineage, and auditability
- Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences
- Strong expertise in AWS, Docker, and CloudFormation
- Hands-on experience with Linux systems and CI/CD pipelines
- Experience designing data pipelines and ETL processes
- Understanding of data modelling and master data management
- Ability to collaborate effectively with scientific stakeholders
- Experience in regulated or research-driven environments (data governance, reproducibility)
- Exposure to Microsoft Fabric, Azure data services, or modern BI tools
- Experience with AI services (e.g. DevOps/security certifications)
Be part of a company driving a fundamental shift in disease treatment. Work at the cutting edge of science, data, and engineering.
DevOps Engineer - Network and Security Startup employer: Practicus
Contact Detail:
Practicus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer - Network and Security Startup
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, and conferences related to biotech and DevOps. This is your chance to connect with potential employers and showcase your passion for the field.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AWS, Docker, and CI/CD pipelines. This gives you a tangible way to demonstrate your expertise to hiring managers.
✨Tip Number 3
Don’t just apply; engage! When you find a job that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and express your interest in the role. It’s a great way to get insider info and make a memorable impression.
✨Tip Number 4
Keep it relevant! Tailor your conversations during interviews to highlight your experience in regulated environments and data governance. Show how your background aligns with the company’s mission to tackle immune dysfunction.
We think you need these skills to ace DevOps Engineer - Network and Security Startup
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data & DevOps Engineer. Highlight your experience with AWS, Docker, and CI/CD pipelines, as well as any relevant projects in biotech or life sciences. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for biotech and how you can contribute to our innovative approach. Be sure to mention specific experiences that demonstrate your expertise in data systems and collaboration with scientific teams.
Showcase Relevant Projects: If you've worked on projects related to data governance, ETL processes, or cloud infrastructure, make sure to include them in your application. We love seeing real-world examples of how you've tackled challenges similar to those we face at StudySmarter.
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 shows you’re serious about joining our team!
How to prepare for a job interview at Practicus
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Docker, and CI/CD pipelines. Brush up on your knowledge of data governance and ETL processes, as these will likely come up during technical discussions.
✨Showcase Your Collaboration Skills
Since this role involves working closely with scientific teams, be prepared to discuss how you've successfully collaborated in the past. Share specific examples where your communication and teamwork made a difference in a project, especially in regulated environments.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you’ve faced in previous roles related to data infrastructure or DevOps practices, and be ready to explain how you approached and resolved them.
✨Demonstrate Your Passion for Biotech
This company is on a mission to tackle immune dysfunction, so show your enthusiasm for the biotech field. Research their work and be ready to discuss how your skills can contribute to their goals, particularly in developing innovative data systems for scientific research.