Senior DevOps Engineer

Prudentia Sciences•Cambridge, MA
•$165,000 - $207,500•Hybrid

About The Position

Prudentia Sciences is an AI-powered technology platform for biopharma, biotech, and life sciences investors. It supports portfolio management, due diligence, and value/risk simulation, helping organizations accelerate drug pipelines, make strategic decisions about asset value, and optimize capital allocation. The company is backed by GV (Google Ventures), SignalFire, McKesson, Iaso Ventures, and Virtue. Prudentia Sciences is seeking a hands-on Senior DevOps Engineer to build and own the infrastructure, deployment, and reliability foundation of its platform as the company scales. The role supports a secure, highly available platform used by pharma and biopharma customers for sensitive due diligence and valuation workflows. The engineer will work with software and ML engineers, product leads, and domain experts to translate scaling and reliability needs into infrastructure investments.

Requirements

  • Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, or a related technical field.
  • Proven experience designing, deploying, and operating production cloud infrastructure, including networking, compute, storage, and IAM.
  • Hands-on experience with infrastructure-as-code tools such as Terraform, CloudFormation, or similar.
  • Expertise building and maintaining CI/CD pipelines and automating build, test, and deployment workflows.
  • Experience with GitHub-based development workflows; the company identifies itself as a GitHub shop.
  • Experience implementing monitoring, logging, and alerting systems and using them to reduce MTTR/MTTD; automated DORA metric tracking is also mentioned.
  • Comfort working with relational and NoSQL databases, such as Postgres, MongoDB, and DynamoDB, including backup, replication, and performance considerations.
  • Familiarity with secure infrastructure practices, secrets management, and compliance.
  • Proficiency in at least one scripting or programming language, such as Python, Bash, or Go, for automation and internal tooling.
  • Strong communication and collaboration skills, including the ability to work with software engineers, ML engineers, and product managers.
  • Strong problem-solving skills and an analytical mindset.
  • Passion for continuous learning, rapid prototyping, and iterating based on system and user needs.
  • Autonomous, self-starter attitude with a strong sense of ownership.
  • Collaborative team player interested in building impactful products.

Nice To Haves

  • Experience in healthcare, life sciences, or biopharma sectors.
  • Curiosity about life sciences, the drug development process, and dealmaking in the sector.

Responsibilities

  • Design, build, and maintain cloud infrastructure using infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
  • Build and maintain CI/CD pipelines supporting safe, reliable deployments across frontend, backend, and ML orchestration services.
  • Implement and maintain monitoring, logging, and alerting, including Grafana, to provide visibility into system health and surface issues.
  • Drive reliability engineering practices, including uptime targets, SLOs/SLAs, incident response processes, on-call rotations, and post-incident reviews (PIRs).
  • Implement secure infrastructure practices for network security, secrets management, access controls, and data protection.
  • Monitor and optimize cloud costs and system performance while maintaining reliability and scalability.
  • Partner with engineering to manage and scale data infrastructure, including Postgres, DynamoDB, and pipelines; support backups, disaster recovery, and performance tuning.
  • Build developer tooling and self-service workflows to help engineers deploy, test, and debug services.
  • Collaborate with software and ML engineers, product leads, and domain experts to translate scaling and reliability needs into infrastructure investments.
  • Present security architecture to client security teams as needed.

Benefits

  • Competitive salary and equity.
  • Opportunity to work on products intended to help breakthrough therapies reach patients faster.
  • Ownership of a foundational engineering platform during a critical scaling phase.
  • Collaborative, mission-driven colleagues.
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