Platform Engineer / DevOps Team Lead

Alden Scientific is transforming health and longevity by focusing on individuals, not averages. Our platform integrates multi-omic data and AI to deliver predictive, personalized insights—making proactive health management the new standard.

We’re looking for a Platform Engineer / DevOps Team Lead who thrives on building systems that enable this vision. In this hybrid role, you’ll be both hands-on and strategic: shaping the infrastructure that powers our scientific workflows, data pipelines, and AI-driven insights, while leading a small but growing team. The right candidate will have an outsized impact on our platform and the direction of engineering, with clear upward potential to become Head of Engineering as we scale.

Our strong preference is for candidates who can work in our Cambridge, MA office. Exceptional US-based remote candidates with proven success in distributed teams will be considered, with periodic travel to Boston for collaboration.

What You’ll Do

Leadership & Collaboration

  • Lead and mentor a small, growing team.

  • Work closely with front-end developers, data scientists, and researchers to bring ideas into production.

Developer Enablement

  • Build self-service platforms and abstractions that allow scientists to move seamlessly from prototype to production.

  • Support large-scale multi-omic data pipelines and scientific workflows through hands-on coding.

Infrastructure & Cloud

  • Design and maintain scalable AWS-based systems for data and AI workloads.

  • Develop CI/CD pipelines that streamline experimentation and deployment.

Data Systems

  • Manage secrets, identity, and access control to ensure security and compliance.

  • Operate and scale relational and graph databases for data-intensive applications.

You

  • 3+ years in Platform Engineering, DevOps, or SRE, with leadership or mentoring experience.

  • Strong background in AWS infrastructure (EC2, S3, RDS, IAM).

  • Skilled in CI/CD pipelines, build/test/deploy automation.

  • Proficient in Python for scripting, automation, and tooling.

  • Production experience with Postgres.

  • Experience managing secrets and identity systems.

  • Intellectual curiosity and passion for individualized health.

  • Comfortable working with multidisciplinary teams on data-heavy, AI-driven workflows.

Bonus Skills

  • Familiarity with scientific or clinical workflows.

  • Experience with heterogeneous data integration.

  • Knowledge of Lakehouse architecture on AWS.

  • Graph databases (e.g. Neo4j).

  • Previous Go experience.

Why Join Us?

  • Impact: Your work will directly support cutting-edge science and AI that empower people to take control of their health.

  • Growth: Tremendous upside—this role has a clear path to Head of Engineering.

  • Innovation: Help push the frontier of data-driven, AI-informed health.

  • Collaboration: Partner with world-class scientists, engineers, and product leaders.

  • Benefits: Competitive salary (transparent ranges shared early), equity, health benefits, flexible PTO, and professional development support.

  • Community: Good people, supportive culture, doing ambitious work with integrity, transparency, and joy.

How to Apply

We value curiosity, adaptability, and a passion for building systems that make science—and healthcare—more personal. To apply, please complete the form below with your resume and concise answers to the following:

  1. Describe how the healthcare system has failed you or someone you know (diagnosis, treatment, insurance, etc.—please avoid personally identifiable details).

  2. Share your favorite approach to building systems at the intersection of heterogeneous data and complex scientific workflows.

  3. List your five most important principles for scaling a complex, integrated system.

Resumes without these answers will not be considered.