At a Glance
- Tasks: Join us as a Senior Platform Engineer to manage our hybrid Kubernetes fleet and enhance our infrastructure.
- Company: Basecamp Research explores biodiversity to tackle biotechnology challenges with cutting-edge technology.
- Benefits: Enjoy a flexible work environment, competitive pay, equity options, and generous PTO.
- Why this job: Be part of a collaborative team solving real-world problems using innovative tech in a dynamic field.
- Qualifications: 4+ years in platform engineering, experience with Kubernetes, deep learning, and a coding language like Python.
- Other info: Work in central London with a diverse team passionate about biology and technology.
The predicted salary is between 48000 - 84000 £ per year.
At Basecamp Research we\’re looking for a Senior Platform Engineer to join our team.
About Us
At Basecamp Research, we tap the planet’s unexplored biodiversity to solve some of biotechnology’s hardest problems and show the enormous value hidden in nature.
We have built one of the world’s largest and fastest-growing metagenomic datasets, sourced from our global expeditions and partnerships. Using this extensive resource, our team runs petascale deep learning and bioinformatics pipelines across cloud and HPC infrastructure to uncover novel enzymes, explore new biology, and solve complex biotechnology challenges for our partners. We have a strong focus on automation and scalability, enabling us to keep pace with our rapid growth and focus on high impact technical challenges.
We work closely with some of the most renowned tech companies and organisations, including NVIDIA, The Broad Institute (Harvard), Microsoft and AWS.
We’re an inclusive, flexible workplace, where biologists, engineers, data and machine‑learning scientists, and field explorers are united by a sense of adventure and a belief that nature has already designed the solutions to our planet’s greatest challenges, we just need to uncover them!
If you feel passionate about the power of biology to show the inherent value of nature and to build a better world, we’d love to hear from you.
The Role
We are looking for an experienced Platform Engineer to join the team. The role will be full-time, based physically in our central London office.
As a Senior Platform Engineer, you’ll own our hybrid Kubernetes fleet (on-prem + AWS) and build the self-service infrastructure that empowers biologists and ML engineers to work more effectively. You’ll report to the Platform Engineering Lead, drive security and reliability improvements, and architect new tooling to streamline operations.
You will be working alongside leading data scientists, bioinformaticians, and ML scientists, to build the largest and most diverse metagenomic dataset known to the industry. You will be instrumental in building and scaling our infrastructure to leverage our data asset for next generation therapeutics, deep learning models, and some of the industries toughest biotechnology challenges.
About you
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Own and operate our on-premise and cloud environments, in particular our Kubernetes clusters (security, monitoring, upgrades and automation)
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Experience working with Deep Learning workloads, training models, serving models through inference platforms and optimising hardware and systems for models.
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Fluency of at least one coding language (Python, Go or similar) with experience of building and deploying applications on top of Kubernetes.
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Passion for automating manual and repetitive tasks (configuration, patching, etc.) using Terraform, Ansible or similar
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Curiosity about biotechnology and working with enormous biological datasets and systems
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Ability to work across the stack to troubleshoot and diagnose problems (from application logs down to TCP/IP)
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Deep knowledge of Linux and container based systems and how they work (namespaces, CNI, networking etc.)
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Experience operating clusters of NVIDIA GPUs and complex networking configurations (IB, High-speed fabrics, multiple CNIs etc.)
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At least 4 years of experience in industry working with the above tools and technologies.
Nice to Haves
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Experience with other parts of our tech stack (Clickhouse, Postgres, Datadog, Dagster, Temporal, AWS, Gitlab and RunAI)
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Any domain knowledge within Life Sciences and Biotech/Techbio, specifically around high throughput sequencing, ML models, and bioinformatics.
What we can offer in return
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The opportunity to be a key member in an exciting, dynamic, and fast-moving field.
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A fun, flexible, and supportive work environment in the centre of London, and an emphasis on collaboration and personal development.
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Highly collaborative culture, we always work cross team and cross function, with engineers, data scientists, and biologists working directly together to tackle complex issues.
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Competitive compensation including equity
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Comprehensive medical cover with AXA
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Critical Illness and Group Income Protection
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Pension Scheme
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Generous PTO
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Enhanced parental policy
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Childcare scheme with YellowNest
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Bike2Work Scheme
Apply for the job
Do you want to join our team as our new Senior Platform Engineer? Then we\’d love to hear about you!
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Senior Platform Engineer employer: Homerun B.V.
Contact Detail:
Homerun B.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Platform Engineer
✨Tip Number 1
Familiarise yourself with Kubernetes and cloud environments, especially AWS. Since you'll be managing a hybrid Kubernetes fleet, having hands-on experience or projects showcasing your skills in this area will make you stand out.
✨Tip Number 2
Showcase your passion for automation by discussing any personal projects or contributions to open-source tools like Terraform or Ansible. This will demonstrate your commitment to improving efficiency, which is crucial for the role.
✨Tip Number 3
Engage with the biotechnology community online. Follow relevant discussions on platforms like LinkedIn or GitHub, and share insights or articles related to bioinformatics and deep learning. This will help you connect with like-minded professionals and show your enthusiasm for the field.
✨Tip Number 4
Prepare to discuss your troubleshooting experiences across the tech stack. Be ready to provide examples of how you've diagnosed and resolved complex issues, as this will highlight your problem-solving skills and technical expertise.
We think you need these skills to ace Senior Platform Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Platform Engineer position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with Kubernetes, deep learning workloads, and automation tools like Terraform or Ansible. Provide specific examples of projects where you've successfully implemented these technologies.
Show Your Passion for Biotechnology: Basecamp Research values a passion for biology and biotechnology. In your application, express your enthusiasm for working with biological datasets and how you believe in the potential of nature to solve complex challenges.
Craft a Compelling Cover Letter: Use your cover letter to tell your story. Explain why you're interested in this role at Basecamp Research, how your background fits the position, and what unique contributions you can bring to their team.
How to prepare for a job interview at Homerun B.V.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Kubernetes, deep learning workloads, and the coding languages mentioned in the job description. Bring examples of past projects where you've successfully implemented these technologies.
✨Demonstrate Your Passion for Biotechnology
Express your enthusiasm for biotechnology and how it relates to the role. Share any relevant experiences or insights that highlight your curiosity about biological datasets and their applications.
✨Prepare for Problem-Solving Scenarios
Expect technical questions that assess your troubleshooting abilities across the stack. Practice explaining your thought process when diagnosing issues, from application logs to networking problems.
✨Emphasise Collaboration and Communication
Since the role involves working closely with biologists and data scientists, be ready to discuss how you’ve collaborated in cross-functional teams. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.