At a Glance
- Tasks: Design and maintain cutting-edge infrastructure for bioinformatics pipelines using AWS and Terraform.
- Company: Join a pioneering tech firm focused on genomics and healthcare data.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on modernising platform capabilities.
- Why this job: Make a real impact in the healthcare sector while working with innovative technologies.
- Qualifications: Experience with AWS, Terraform, and scripting in Python or Bash is essential.
The predicted salary is between 68500 - 80000 £ per year.
Salary: £68,500 - 80,000 per year
Requirements
- Strong experience with AWS across compute, storage, networking and security
- Solid Terraform experience for building and maintaining repeatable infrastructure
- Strong scripting ability in Python, Bash or similar
- Experience designing, implementing and supporting platform patterns & capabilities for consumption by stream/business‐aligned teams
- Experience operating production grade platforms in complex distributed environments
- Understanding of CI/CD tooling and DevOps practices such as GitLab CI or Jenkins
- Comfortable working in data heavy, high throughput systems
- Collaborative approach with confidence working across teams and influencing technical direction
- Nice to have - Experience working in genomics, bioinformatics or healthcare data platforms
- Familiarity with workflow orchestration tools such as Nextflow, Seqera Platform, Seqera Wave or equivalents
- Exposure to HPC environments or large scale scientific compute workloads
- Understanding of regulated or security sensitive environments, particularly Software as a Medical Device
- Experience working in a Platform Team as defined in Team Topologies
- Experience contributing to platform modernisation or evolution programmes
Responsibilities
- Designing, building and maintaining infrastructure across AWS and hybrid environments for use across bioinformatics pipelines and teams
- Designing, building and maintaining platform capabilities that enable orchestration and execution of large-scale genomic pipelines
- Working closely with bioinformatics engineering squads to support Nextflow native workflows and pipeline modernisation
- Automating deployment, infrastructure provisioning and operational processes using Terraform, Python, Bash and similar tools
- Design, build and maintain new container management capabilities, with a goal of providing secure container builds on demand for Nextflow processes
- Re‑imagining our CI/CD pipelines and tooling, providing them as‑a‑service to the bioinformatics teams that leverage the platform
- Implementing monitoring, logging and alerting capabilities and patterns to improve observability across distributed bioinformatics workflows
- Configure and manage HPC compute environments, both AWS and on‑prem, through tooling such as Seqera Platform
- Troubleshooting platform and workflow issues across multiple layers, driving long term fixes
- Supporting cost optimisation, performance tuning and capacity planning across AWS and on‐prem systems
- Producing clear documentation and sharing knowledge across engineering teams
- Helping embed DevOps ways of working across squads and enabling teams to operate with more independence
Technologies
- AWS
- Bash
- CI/CD
- DevOps
- GitLab
- Support
- Jenkins
- Python
- Security
- Terraform
- Cloud
- Fabric
Platform Engineer - London employer: Genomics England
As a leading employer in the tech industry, we offer a dynamic work environment in London that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diverse perspectives, making it an ideal place for Platform Engineers to thrive. With competitive salaries and a focus on cutting-edge technologies in bioinformatics, we empower our team to make meaningful contributions while enjoying a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer - London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Genomics England or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Genomics England.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Genomics England.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Genomics England that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Platform Engineer - London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Genomics England.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Genomics England and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Genomics England
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Genomics England uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
