Staff SRE, Data Platform (Hybrid UK) in London

Staff SRE, Data Platform (Hybrid UK) in London

London Full-Time 59400 - 72600 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead and scale the Mystra data platform, ensuring reliability and performance.
  • Company: Join a pioneering genomics company making a real impact in science.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with ML experts in a dynamic and innovative environment.
  • Why this job: Be at the forefront of data science and contribute to groundbreaking projects.
  • Qualifications: Experience in site reliability engineering and team leadership skills.

The predicted salary is between 59400 - 72600 £ per year.

Genomics is seeking a Staff-level engineer in London/Oxford to own and scale the Mystra data platform.

You’ll lead reliability, performance, security and integrity end-to-end, and set technical direction for the team.

You’ll manage a small IC2/IC3 team, work hands-on, and collaborate with ML experts to power agent-ready data and secure multi-tenant releases at petabyte scale.

If you want meaningful science at scale, join us.

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Staff SRE, Data Platform (Hybrid UK) in London employer: Genomics

At Genomics, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With competitive salaries, clear career progression paths, and a commitment to continuous learning, our employees thrive in a supportive environment that prioritises their wellbeing. Located in vibrant cities like Oxford and London, we provide flexible working options and unique benefits such as enhanced family leave and a 'Bank Your Bank Holiday' programme, ensuring that our team members can balance their professional and personal lives effectively.

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Contact Details:

Genomics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff SRE, Data Platform (Hybrid UK) in 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 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.

✨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.

✨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 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 Staff SRE, Data Platform (Hybrid UK) in London

Reliability Engineering
Performance Optimisation
Security Management
Data Integrity
Technical Leadership
Team Management
Hands-on Development

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.

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 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

✨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 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.