At a Glance
- Tasks: Design and develop cutting-edge AI platforms for scientific research.
- Company: Join Altos Labs, a top biotech company focused on cell rejuvenation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on belonging and collaboration.
- Why this job: Make a real impact in science with innovative technology and diverse teams.
- Qualifications: 5+ years in platform software engineering and experience with Kubernetes.
The predicted salary is between 97300 - 128000 £ per year.
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
The Altos Cloud Platform Team is seeking an experienced platform software engineer to drive the design, development, and maintenance of the Altos Agentic AI Platform. You will be part of the team responsible for building and managing agentic and autonomous compute systems used by Altos scientists to conduct cutting-edge research. Additionally, you will work closely with software engineers, researchers, and IT teams to build and support systems that are scalable, reliable, secure, and efficient.
Responsibilities
- Implement platform technologies to create, deploy, and monitor AI-enabled scientific applications for internal and external use.
- Implement network and security controls, including authentication and authorization across dozens of AI-enabled and agentic applications.
- Design, deploy, and maintain highly resilient, production-grade Kubernetes (k8s) clusters.
- Implement and fine-tune dynamic compute optimization for just-in-time, node-level autoscaling for compute-heavy and streaming workloads.
- Utilize service mesh management for complex traffic routing, enforcing mutual TLS (mTLS), handling circuit breaking, and ensuring secure, observable service-to-service communication.
- Implement and maintain high-performance MCP and LLM proxies supporting fleets of hundreds of agentic tools.
- Understand user needs across a wide range of scientific disciplines and build systems that scientists can use productively to create AI-enabled solutions.
- Optimize system performance and utilization for scientific applications and underlying infrastructure.
- Work with stakeholders to improve cloud and AI financial operations, driving changes for efficient allocation of resources and cost management.
- Improve reliability of systems via automation, testing, and continuous integration and delivery.
- Continuously improve and maintain documentation for our development and deployment processes.
Who You Are
Required Qualifications
- B.S. in Computer Science, or related quantitative field, or equivalent technical experience.
- 5+ years of experience in a Cloud Infrastructure, DevSecOps, or systems-focused platform software engineering role.
- 3+ years experience designing microservices architectures and deploying/maintaining production-grade Kubernetes (k8s) infrastructure.
- 2+ years experience utilizing AI-assisted software development methods.
- Deep experience architecting and operating cloud solutions on AWS utilizing Infrastructure as Code (IaC) practices (Terraform, CDK, etc.) and orchestration technologies such as Python, Ruby, or Bash.
- Experience prototyping agentic AI concepts including identity and memory management.
- Proven track record of building infrastructure for GenAI/LLM systems, AI agents, and high-volume event driven workloads.
- Experience with monitoring and observability tools, including FinOps best practices.
- Excited to design, implement, and evangelize computing standards and culture across scientific and technical functions.
- Enjoys building scalable, secure, and robust systems.
- Strong communication, collaboration, and presentation skills, including sharing technical topics with non-technical audiences.
Preferred Qualifications
- Experience supporting the development of scientific software in a life sciences environment.
- Experience building platforms to accelerate the efforts of software, data, and machine learning engineers.
- Experience mentoring junior software engineers.
- Experience writing automated tests across different levels of the test pyramid.
Cambridge UK salary ranges £97,300 to £128,000. Exact compensation may vary based on skills, experience, and location.
We value collaboration and scientific excellence. We believe that a culture of belonging is foundational to scientific innovation and inquiry. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
Staff Platform Software Engineer in Cambridge employer: Altoslabs
At Altos Labs, we are dedicated to fostering a culture of belonging and scientific excellence, making us an exceptional employer for those passionate about advancing cell health and resilience. Located in Cambridge, UK, our collaborative environment encourages innovation and offers ample opportunities for professional growth, while our commitment to diversity ensures that every employee's unique perspective is valued. Join us to be part of a mission-driven team where your contributions will directly impact cutting-edge research and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Platform Software Engineer 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 Altoslabs 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 Altoslabs.
✨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 Altoslabs.
✨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 Altoslabs 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 Platform Software Engineer in Cambridge
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 Altoslabs.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Altoslabs 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 Altoslabs
✨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 Altoslabs 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.
