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: Diverse team environment with a focus on belonging and collaboration.
- Why this job: Make a real impact in science with innovative AI technologies.
- Qualifications: 5+ years in platform engineering and experience with Kubernetes and cloud solutions.
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. Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
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.
Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
Staff AI Platform Engineer in Cambridge employer: Altos Labs
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 health through innovative technology. Our Cambridge location offers a collaborative environment where talented individuals from diverse backgrounds come together to drive meaningful research, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Join us in our mission to restore cell health and resilience, and be part of a team that values your unique perspective and contributions.
