Principal DevOps Engineer

Prudentia Sciences•Cambridge, MA
•Hybrid

About The Position

Prudentia Sciences is seeking a hands-on Principal DevOps Engineer to build and own the infrastructure, deployment, and reliability foundation of its AI-powered platform as the company scales. The platform supports biopharma, biotech, and life sciences investors with portfolio management, due diligence, and value/risk simulation tools. The role will help ensure customers can depend on a secure, highly available platform for sensitive due diligence and valuation workflows. The engineer will design and operate cloud infrastructure, establish deployment and observability practices, lead reliability and incident-response processes, and support secure, cost-efficient, scalable systems. The role also partners with software and ML engineers, product leads, and domain experts to develop infrastructure investments that meet product and scaling needs. The company prefers a hybrid candidate working two days per week (Tuesday and Thursday) in Boston, New York City, or San Francisco, but exceptionally strong candidates may be considered remotely within the United States.

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 implementing monitoring, logging, and alerting systems and using them to reduce MTTR/MTTD.
  • Comfort working with relational and NoSQL databases, 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.
  • Strong communication and collaboration skills, with the ability to work closely with software engineers, ML engineers, and product managers.
  • Strong problem-solving skills and an analytical mindset.
  • Autonomous, self-starting approach with a strong sense of ownership.
  • Excellent communication skills, including comfort presenting security architecture to a client's security team.

Nice To Haves

  • Experience with healthcare, life sciences, or enterprise compliance environments.
  • Experience with AWS.
  • Experience with Grafana.
  • Experience with Postgres, MongoDB, or DynamoDB.
  • Experience automating DORA metric tracking.
  • Experience with GitHub-based development workflows.

Responsibilities

  • Design, build, and maintain reproducible, auditable, and scalable cloud infrastructure using infrastructure-as-code tools.
  • Build and maintain CI/CD pipelines for frontend, backend, and ML orchestration services.
  • Implement and maintain monitoring, logging, and alerting systems to provide visibility into system health and surface issues early.
  • Drive reliability engineering practices, including uptime targets, SLOs/SLAs, incident response, on-call rotations, and accountability for post-incident reviews.
  • Implement and enforce secure infrastructure practices covering network security, secrets management, access controls, and data protection.
  • Monitor and optimize cloud spending and system performance while balancing cost efficiency, reliability, and scalability.
  • Partner with engineering to manage and scale data infrastructure, including backups, disaster recovery, and performance tuning.
  • Build tooling and self-service workflows that help engineers deploy, test, and debug services.
  • Work cross-functionally with software and ML engineers, product leads, and domain experts to translate scaling and reliability needs into infrastructure investments.

Benefits

  • Competitive salary and equity.
  • Opportunity to directly enable breakthrough therapies to reach patients faster.
  • Opportunity to build and lead the platform as a foundational engineering leader.
  • Opportunity to shape the product experience during a critical scaling phase.
  • Collaborative, mission-driven colleagues passionate about transforming biopharma.
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