Staff Platform Software Engineer

Altos Labs; Cambridge; On-site; GBP 97,000 - 128,000; Full time

Job summary

Altos Labs in Cambridge, UK seeks an experienced platform software engineer to lead design, development, and maintenance of the Altos Agentic AI Platform. You will build and manage agentic compute systems used by scientists for cutting-edge research, collaborating with engineers, researchers, and IT to ensure scalable, secure, and efficient systems.

Responsibilities include deploying AI-enabled apps, securing access, managing Kubernetes clusters, and optimizing compute and costs.

Qualifications

• BS in CS or related field or equivalent experience.
• 5+ years in cloud infrastructure, devsecops, or systems platform engineering.
• 3+ years designing microservices and managing Kubernetes production infra.
• 2+ years using AI-assisted software development methods.
• Experience with AWS IaC and orchestration tools (Python, Ruby, Bash).
• Proven infra for GenAI/LLM, AI agents, and high-volume events.
• Strong monitoring, FinOps practices and collaboration skills.

Responsibilities

• Implement platform tech to deploy and monitor AI-enabled scientific apps.
• Design and enforce authentication, authorization across apps.
• Operate resilient Kubernetes clusters in production.
• Enable dynamic compute autoscaling for workloads.
• Manage service mesh, mTLS, and secure inter-service communication.
• Support MCP/LLM proxies for hundreds of agentic tools.
• Build systems for scientists to create AI-enabled solutions.
• Improve performance and resource utilization.
• Drive cloud financial operations improvements.
• Automate testing, CI/CD, and documentation upkeep.

Skills

Cloud infra

DevSecOps

Kubernetes

AWS IaC

Microservices

AI-assisted

FinOps

Communication

Education

B.S. in Computer Science

Tools

Terraform

CDK

Python

Bash

Job description

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

Diversity at Altos

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.

What You Will Contribute To Altos

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.

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Equal Opportunity Employment

We value collaboration and scientific excellence.

We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, 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 an inclusive environment.

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.

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

US Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirelyvoluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Altos Labs's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.