Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Cloud/Backend Engineer to optimize our cloud infrastructure and data pipelines.
- Company: Mitra bio is a VC-backed startup revolutionizing skincare through innovative data solutions.
- Benefits: Enjoy a competitive salary, share options, and the chance to work on impactful projects.
- Why this job: Make a real difference in skincare diagnostics while collaborating with a dynamic, multidisciplinary team.
- Qualifications: 3 years of backend engineering experience, strong AWS skills, and a degree in a quantitative field required.
- Other info: Ideal for those passionate about AI and modern data analysis tools.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
FULL TIME | PERMANENT | COMPETITIVE SALARY | SHARE OPTIONS AVAILABLE
About Mitra bio
Mitra bio is a VC backed start-up looking to disrupt the skincare industry through data. Mitra is developing a skin longevity platform powered by non-invasive sampling and epigenetics to enhance diagnostics and personalized treatments for the skin.
Role
This is not a typical Backend/Cloud Engineer role. Your work will translate into an impactful product in the hands of the consumer. You will be responsible for expanding and optimizing our cloud infrastructure and data pipeline architecture, as well as optimising data flow and collection throughout our custom built Clinical Management Interface (CMI). You will work closely with the Data Science team and support seamless integration with their pipelines.
Responsibilities:
- Design and deliver infrastructure for state-of-the-art client reporting on high throughput DNA sequencing data.
- Work on the AWS infrastructure (data storage, analysis pipelines, compute nodes and AWS specific user/role/resource permissions).
- Enhance and optimize the current AWS compute framework to increase automation and throughput. i.e. optimize AWS Batch usage.
- Contribute to the design, development, and implementation of microservices.
- Support data scientists by integrating data analysis pipelines into the computational infrastructure;
- Maintain and optimize databases.
- Facilitate seamless integration of data pipelines i.e. data processing on AWS, dashboards i.e. our CMI for internal use and for external vendors and clients.
- Troubleshoot and resolve backend and cloud-related issues.
- Manage multiple projects simultaneously and complete projects in a timely & reliable manner;
- Work as part of a multidisciplinary team.
Experience and Essential skills:
- Proven experience as a backend engineer or similar role for 3 years, with hands-on experience in AWS services.
- Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Fluent in Python.
- Proficiency in relational database design, management, and optimization (i.e. Postgres).
- Strong experience in software development, test-driven development and proficiency in collaborative software development practices (code reviews, branching models);
- Experience in version control, CI/CD, automated deployment and DevOps practices; Experience deploying and maintaining secure computing environments;
- Knowledge of containerization (Docker),orchestration tools (Kubernetes is a plus) and Infrastructure tools (e.g. TerraForm).
- Strong understanding of microservices architecture and RESTful API development.
Desirable:
- Familiarity in tools used in modern Illumina NGS data analysis is a plus i.e. Nextflow;
- Familiarity with front-end, e.g. React/Svelte/JavaScript/PHP
- Experience working in agile environments;
- Familiarity with research governance, The Data Protection Act and Good Clinical Practice;
- Curiosity on using and implementing current AI technologies into company workflows.
- Prior experience supporting Data Science teams
Cloud/Backend Engineer employer: Mitra bio
Contact Detail:
Mitra bio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud/Backend Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with AWS services. Highlight specific projects where you've optimized cloud infrastructure or data pipelines, as this is crucial for the role.
✨Tip Number 2
Familiarize yourself with the latest trends in microservices architecture and RESTful API development. Being able to discuss these topics confidently during the interview will set you apart from other candidates.
✨Tip Number 3
Since the role involves working closely with a Data Science team, be prepared to discuss how you've integrated data analysis pipelines in previous roles. This will demonstrate your collaborative skills and technical expertise.
✨Tip Number 4
Stay updated on the latest tools and technologies in DNA sequencing and data analysis. Mentioning any familiarity with Illumina NGS data analysis tools could give you an edge in the selection process.
We think you need these skills to ace Cloud/Backend Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Cloud/Backend Engineer position at Mitra bio. Understand the specific responsibilities and required skills, especially the emphasis on AWS services and data pipeline architecture.
Tailor Your CV: Customize your CV to highlight relevant experience in backend engineering, AWS, and any specific technologies mentioned in the job description, such as Python, Postgres, and microservices architecture.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also expresses your enthusiasm for disrupting the skincare industry through data. Mention how your background aligns with Mitra bio's mission and values.
Showcase Relevant Projects: If you have worked on projects involving AWS, data pipelines, or microservices, be sure to include these in your application. Provide specific examples of how you contributed to those projects and the impact they had.
How to prepare for a job interview at Mitra bio
✨Showcase Your AWS Expertise
Make sure to highlight your hands-on experience with AWS services during the interview. Be prepared to discuss specific projects where you've optimized cloud infrastructure or enhanced data pipelines, as this role heavily relies on AWS.
✨Demonstrate Your Python Proficiency
Since fluency in Python is essential for this position, be ready to share examples of how you've used Python in previous roles. Consider discussing any relevant projects that involved backend development or data processing.
✨Discuss Microservices and APIs
This role requires a strong understanding of microservices architecture and RESTful API development. Prepare to explain your experience in these areas, including any challenges you faced and how you overcame them.
✨Emphasize Collaboration Skills
As you'll be working closely with the Data Science team, it's important to convey your ability to collaborate effectively. Share examples of past experiences where teamwork led to successful project outcomes, especially in agile environments.
