Devops Engineer

Accountabilities:

• • Design, build, maintain, and improve backend services using TypeScript and Node.js, ensuring reliable, secure, and well-structured APIs.
  • Implement and manage role-based access control across applications and data layers, supporting secure and governed access to sensitive data.
  • Design and evolve relational database schemas and migrations using Prisma or a comparable ORM, while maintaining strong SQL practices and query performance.
  • Develop and govern BigQuery access patterns at row, dataset, and table levels to support appropriate data access and governance.
  • Build and maintain GCP infrastructure across Cloud Run, Artifact Registry, Cloud SQL, IAM, and VPC Service Controls.
  • Define and manage infrastructure as code using Terraform, supporting repeatable, scalable, and secure cloud environments.
  • Own CI/CD workflows through GitHub Actions, covering automated build, testing, deployment, and release processes.
  • Maintain production security by addressing dependencies and vulnerabilities, managing secrets, and triaging tools such as Dependabot.
  • Containerize applications with Docker and maintain reproducible build and release processes.
  • Implement observability, logging, monitoring, and alerting using Cloud Monitoring and related technologies.
  • Participate in code reviews, architecture discussions, incident response, and continuous improvements to platform reliability.
  • Apply AI-assisted coding tools such as GitHub Copilot or Claude within established engineering guardrails to accelerate development while maintaining code quality.
  • Collaborate with engineers, data teams, scientific stakeholders, and other groups to translate requirements into effective technical solutions.
  • Work independently across multiple projects and priorities while contributing to a collaborative, distributed engineering team.

  Requirements:

  • 2–7 years of professional software engineering or platform engineering experience, with strong hands-on backend development experience in TypeScript and Node.js.
  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
  • Demonstrated experience designing and implementing production-grade role-based access control systems.
  • Strong knowledge of relational database design, SQL, migrations, and Prisma or a comparable ORM.
  • Practical experience with BigQuery, including row-, dataset-, or table-level access patterns.
  • Production experience managing GCP infrastructure, particularly Cloud Run, Artifact Registry, Cloud SQL, and IAM.
  • Strong infrastructure-as-code experience using Terraform or a comparable technology.
  • Experience owning CI/CD pipelines with GitHub Actions or similar tools across build, testing, and deployment stages.
  • Experience with Docker containerization in production environments.
  • Knowledge of cloud networking, identity, security, dependency management, vulnerability remediation, and secrets management.
  • Experience with observability, logging, and monitoring using Cloud Monitoring or equivalent platforms.
  • Professional experience using AI coding assistants such as GitHub Copilot, Claude, or similar tools.
  • Strong JavaScript/TypeScript fundamentals, including asynchronous programming and typed API contracts.
  • Ability to work effectively with Git and modern code review practices.
  • Excellent communication, collaboration, problem-solving, and organizational skills, with the ability to work with both technical and non-technical stakeholders.
  • Ability to manage multiple projects and deadlines independently within a distributed team.
  • Availability to work on a U.S. East Coast schedule.
  • Must be authorized to work in the United States without current or future visa sponsorship.

  Preferred qualifications include:

  • Experience with VPC Service Controls or comparable data exfiltration and perimeter security controls.
  • Background in data governance, auditing, or regulated environments.
  • Experience optimizing BigQuery costs and data access patterns.
  • Exposure to scientific data platforms, including biological, chemical, clinical, or related datasets.
  • Experience defining SLOs, alerting strategies, or on-call practices.
  • Experience supporting discovery-focused or research-oriented technology programs.

  Benefits:

  • Competitive salary and bonus package based on experience.
  • Comprehensive Medical, Dental, and Vision Insurance.
  • Company-provided Life and Long-Term Disability Insurance.
  • Company-sponsored 401(k) plan.
  • Continuing education benefits.
  • Opportunities for professional development and career advancement.
  • Team-focused and collaborative work environment.
  • 100% remote work arrangement.
  • Work-life balance supported through a distributed team environment.
  • Opportunity to contribute to technically challenging data, cloud, security, and discovery initiatives.