Staff Software Engineer | Core Platform in Cambridge

Staff Software Engineer | Core Platform in Cambridge

Cambridge Full-Time No working from home possible
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At a Glance

  • Tasks: Design and build innovative compute and workflow services for life sciences.
  • Company: Join Manifold, the leading AI platform transforming life sciences.
  • Benefits: Competitive salary, strong benefits, and opportunities for rapid growth.
  • Other info: Collaborative environment with exposure to cutting-edge AI and life sciences challenges.
  • Why this job: Make a real impact in healthcare by accelerating breakthrough science.
  • Qualifications: 8+ years in software engineering with expertise in Python and cloud infrastructure.

About Manifold

Manifold is the AI platform for life sciences, accelerating life-changing medicines to patients.

Our products speed up workflows in areas from target identification and clinical development to market access and precision medicine in the clinic, while maintaining the governance life sciences requires.

Global companies and premier research institutions use Manifold to operate faster and more effectively.

Backed by leading investors including Reach Capital, TQ Ventures, Calibrate Ventures, Silver Arc Capital, and Industry Ventures, Manifold serves tens of thousands of users across hundreds of organizations globally.

About the Role

Manifold is looking for a Staff Software Engineer to join the Core Platform team: A small, senior group responsible for the foundational services that power Manifold's data, compute, and workflow capabilities.

As a Staff Engineer on the Core team you’ll have an opportunity to work on compute infrastructure, workflow orchestration, data pipelines, platform APIs and MCP services.

You will be supporting active enterprise users (and their AI agents) who are analyzing genomics and life sciences datasets at scale.

This is a hands-on, individual contributor role.

But we’re also looking for individuals who demonstrate a strong sense of ownership and are experienced enough to help shape our longer term product architecture.

These core services play a critical role in Manifold's success, and help our customers bring life-changing medicines to patients faster.

What You'll Do

  • Help design, build and operate Manifold’s compute and workflow orchestration services.

Develop extensible and durable solutions for AMI management, autoscaling, custom runtime environments, 3rd party tool support, etc.

  • Work closely with SRE team to Improve reliability and observability of Manifold core services.

Establish operational standards, alerting, and run-books that move the team from reactive firefighting to proactive ownership.

  • Be a technical multiplier.

Mentor engineers, drive technical decisions through clearly written artifacts, and bring a cross-cutting perspective that improves the team's collective output.

  • Partner with Product, Forward Deployed Engineers, and account teams to translate bespoke enterprise requirements into durable platform capabilities.

Fully understand customers’ most pressing problems and validate end-to-end solutions.

  • Contribute to Manifold’s AI-native platform vision.

Spot AI industry trends before they happen, and have informed opinions about how they potentially benefit life sciences research.

  • What You'll Bring
  • 8+ years of enterprise software experience, with a meaningful portion spent on backend, infrastructure-adjacent, or distributed systems work.

You've owned complex, scalable, production systems and can share plenty of real-world stories.

  • Mastery of Python and deep infrastructure-as-code (Terraform) experience.
  • Experience managing compute environments on AWS (EC2, ECS, Batch, or equivalent) including autoscaling and cost / performance tradeoffs.
  • Bioinformatics workflow experience a plus (specifically WDL, Nextflow, or Cromwell).
  • General Life sciences or other regulated-industry experience also a plus.
  • Comfortable supporting a broad technical surface area. You know how to orient quickly in an unfamiliar codebase or system.
  • Operational ownership mindset. You care about what happens in production, you build for observability from the start, and you close the loop on incidents with durable fixes.
  • You've genuinely integrated AI tools into your engineering workflow and have concrete examples of how that changed your output.

You're not just curious about this space, you're building in it.

  • You've done your homework on what it means to accelerate life sciences research and you can articulate why that mission matters to you.
  • Why Manifold
  • We offer the unique opportunity to work at the frontier of AI in life sciences, helping the world's leading research and clinical institutions adopt transformative technology.
  • This is a high-autonomy, high-impact role where your work directly leads to positive customer outcomes that accelerate breakthrough science.
  • You will gain exposure to a wide range of technical and business challenges across oncology, genomics, clinical data, and AI agent development.
  • You will work with a collaborative team of engineers, scientists, and operators who are building something genuinely new and important.
  • This is an opportunity to grow fast in a company that takes talent seriously. We offer strong compensation packages and excellent benefits.
  • Salary Range

The base salary range for this position is $170,000–$220,000 annually.

  • Please note: Final offer amounts are determined by multiple factors, including prior experience and expertise, and may vary from the amount above.

This range does not represent additional compensation benefits (such as equity, 401K match or medical, dental or vision insurance).

Staff Software Engineer | Core Platform in Cambridge employer: Manifold AI

Manifold is an exceptional employer, offering a unique opportunity to work at the cutting edge of AI in life sciences. With a strong focus on employee growth and collaboration, you will be part of a high-autonomy team that directly impacts breakthrough science while enjoying competitive compensation and excellent benefits. The vibrant work culture fosters innovation and encourages you to explore new tools, making it a rewarding environment for those passionate about transforming healthcare.

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Contact Details:

Manifold AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Software Engineer | Core Platform in Cambridge

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 Manifold AI 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 Manifold AI.

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 Manifold AI.

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 Manifold AI 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 Software Engineer | Core Platform in Cambridge

Python
Infrastructure-as-Code (Terraform)
AWS (EC2, ECS, Batch)
Autoscaling
Cost/Performance Tradeoffs
Bioinformatics Workflow (WDL, Nextflow, Cromwell)
Operational Ownership Mindset

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 Manifold AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Manifold AI 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 Manifold AI

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 Manifold AI 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.