Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of engineers to develop bioinformatics tools and scalable architectures.
- Company: Join Beautyk Creative, a well-funded R&D institute focused on innovative software solutions.
- Benefits: Enjoy hybrid working, a bonus scheme, 28 days holiday, enhanced pension, and health insurance.
- Why this job: Be part of a growing team in a dynamic environment with a focus on impactful data processing.
- Qualifications: Experience in full-stack software engineering and team leadership, preferably in a start-up/scale-up setting.
- Other info: Contact us for a chat about this exciting opportunity!
The predicted salary is between 43200 - 72000 £ per year.
This is a rare opportunity for an experienced Software Engineering Manager to join an extremely well-funded R&D institute at a time of huge investment and growth.
The Role
Working in a "scale-up" environment, the Software Engineering Manager will build and lead a team of software engineers across the full stack, as they work with bioinformatics pipelines and build and deliver exceptional analytical tools processing data from multiple sources such as sequencing machines. Working in a "hands-on" capacity, the Software Engineering Manager will work to develop a scalable architecture/infrastructure, introducing DevOps practices, whilst maintaining technical oversight to ensure best practices in architecture, coding standards, and testing alongside the engineers.
Benefits Include
- Hybrid working - 2-3 days on site
- Bonus scheme to 10%
- 28 days holiday
- Enhanced pension
- Health insurance
What Experience do I need?
- A solid background in software engineering across the full stack, with proven experience of leading and developing teams
- Experience of working within a start-up/scale-up environment preferred
- Experience of working with data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous.
- Experience of data processing platforms such as Kafka and Spark would also be useful
- Strong experience with Python, with any additional skills with R and/or C++ of benefit
- Experience of building a scalable architecture/infrastructure using tools such as Terraform, Kubernetes and Cloud technologies
- Experience with DevOps practices
If you have any questions or would simply welcome a chat about this excellent Software Engineering Manager position and company, just call me or drop me an email, as I'd love to hear from you! If, though, you think this role could be right for you and you'd like to learn more, then please apply now.
Software Engineering Manager, Python, Bioinformatics, COR7181 employer: Beautyk Creative
Contact Detail:
Beautyk Creative Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager, Python, Bioinformatics, COR7181
✨Tip Number 1
Familiarise yourself with the latest trends in bioinformatics and data processing. Being well-versed in tools like Kafka and Spark will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully built and managed a team. Highlight specific challenges you faced and how you overcame them, as this will resonate well with the hiring managers.
✨Tip Number 3
Prepare to discuss your hands-on experience with Python and any additional languages like R or C++. Be ready to provide examples of projects where you implemented scalable architecture or DevOps practices, as these are key aspects of the role.
✨Tip Number 4
Network with professionals in the bioinformatics and software engineering fields. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace Software Engineering Manager, Python, Bioinformatics, COR7181
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, particularly with Python and bioinformatics. Emphasise any leadership roles you've held and your experience in a scale-up environment.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the job description, especially those involving data pipelines and DevOps practices.
Showcase Relevant Skills: Clearly list your technical skills relevant to the position, such as experience with Kafka, Spark, Terraform, and Kubernetes. Highlight your ability to build scalable architectures and your familiarity with cloud technologies.
Prepare for Technical Questions: Anticipate technical questions related to software engineering and bioinformatics during the interview process. Brush up on your knowledge of coding standards, architecture best practices, and team management strategies.
How to prepare for a job interview at Beautyk Creative
✨Showcase Your Leadership Skills
As a Software Engineering Manager, you'll need to demonstrate your ability to lead and develop teams. Prepare examples of how you've successfully managed teams in the past, focusing on your leadership style and how you foster collaboration and innovation.
✨Highlight Relevant Technical Experience
Make sure to discuss your experience with Python and any additional languages like R or C++. Be ready to talk about your work with data pipelines and bioinformatics, as well as your familiarity with tools like Kafka, Spark, Terraform, and Kubernetes.
✨Understand the Scale-Up Environment
Since this role is in a scale-up environment, be prepared to discuss your experience in similar settings. Highlight your adaptability and how you've contributed to growth and scalability in previous roles, especially in fast-paced environments.
✨Prepare for Hands-On Questions
Expect questions that assess your hands-on technical skills and your approach to developing scalable architecture. Be ready to explain your thought process when tackling complex problems and how you ensure best practices in coding and testing.
