The Role
Build and maintain TypeScript and Node.js backend services plus secure GCP infrastructure. Own RBAC, relational schemas, BigQuery access controls, Terraform infrastructure, GitHub Actions CI/CD, Docker releases, vulnerability remediation, secrets management, observability, and incident response. Collaborate with scientific and technical stakeholders on governed data access, platform reliability, and secure delivery in a distributed remote team working on a US East Coast schedule.
Summary Generated by Built In
Core Values
At RCH, our Core Values are more than just words—they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.
Our Core Values:
Job Description
RCH Solutions is seeking a DevOps Engineer with strong backend development skills who will be instrumental in the continued investment in discovery research. We are currently seeking an outstanding engineer with proven experience building secure, well-governed services and the cloud infrastructure that runs them. Using a broad range of backend engineering, infrastructure-as-code, and cloud security methods, the successful individual will continue to evolve growing initiatives for data access, platform reliability, and secure delivery to enable the scientific community.
The successful candidate will own both sides of the platform: the TypeScript/Node.js services that expose governed access to scientific and analytical data, and the GCP infrastructure, CI/CD pipelines, and security posture that support them. Expertise in access control design, relational data modeling, Terraform, and cloud observability is highly desired.
Role and Responsibilities
Backend
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:
** Candidates must not require sponsorship now or in the future.
At RCH, our Core Values are more than just words—they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.
Our Core Values:
- Embrace Excellence: We strive for best-in-class delivery of innovation and service.
- Be Accountable: Integrity, ownership and accountability are non-negotiables.
- Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
- Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
- Boundaries and Balance: Work-life balance is a core facet of our culture.
Job Description
RCH Solutions is seeking a DevOps Engineer with strong backend development skills who will be instrumental in the continued investment in discovery research. We are currently seeking an outstanding engineer with proven experience building secure, well-governed services and the cloud infrastructure that runs them. Using a broad range of backend engineering, infrastructure-as-code, and cloud security methods, the successful individual will continue to evolve growing initiatives for data access, platform reliability, and secure delivery to enable the scientific community.
The successful candidate will own both sides of the platform: the TypeScript/Node.js services that expose governed access to scientific and analytical data, and the GCP infrastructure, CI/CD pipelines, and security posture that support them. Expertise in access control design, relational data modeling, Terraform, and cloud observability is highly desired.
Role and Responsibilities
Backend
- Design, build, and maintain backend services in TypeScript and Node.js
- Design and implement role-based access control (RBAC) across applications and data layers
- Model and evolve relational schemas using Prisma or a comparable ORM, including migrations
- Implement and govern BigQuery access patterns at row, dataset, and table level
- Build well-documented, typed APIs consumed by front-end and data science teams
- Apply AI coding tools (GitHub Copilot, Claude, etc.) within established guardrails to accelerate delivery without compromising code quality
- Build and maintain GCP infrastructure: Cloud Run, Artifact Registry, Cloud SQL, IAM, and VPC Service Controls
- Define and manage infrastructure as code using Terraform
- Own CI/CD pipelines in GitHub Actions covering build, test, and deploy
- Manage security posture: Dependabot triage, dependency and vulnerability remediation, and secrets management
- Containerize services with Docker and maintain reproducible build and release processes
- Implement observability, logging, and monitoring using Cloud Monitoring and related tooling
- Participate in code review, architecture discussions, and incident response
- Strong professional backend development experience in TypeScript and Node.js
- Hands-on experience designing and implementing role-based access control (RBAC)
- Relational schema design and migration experience with Prisma or a similar ORM
- Practical BigQuery experience, including access patterns at row, dataset, or table level
- Production experience with GCP infrastructure: Cloud Run, Artifact Registry, Cloud SQL, and IAM
- Infrastructure as code with Terraform
- CI/CD pipeline ownership in GitHub Actions (build, test, deploy)
- Dependency and vulnerability remediation, including Dependabot triage and secrets management
- Docker containerization in a production environment
- Observability, logging, and monitoring practices using Cloud Monitoring or equivalent
- Practical experience using AI coding tools (Copilot, Claude, etc.) in a professional setting
- Ability to work independently in a distributed team on a UK or US East Coast schedule
- BS in Computer Science, Software Engineering, Information Systems, or equivalent practical experience
- 2–7 years of professional software engineering or platform engineering experience
- Strong JavaScript/TypeScript fundamentals, including asynchronous patterns and typed API contracts
- SQL proficiency sufficient to design schemas and reason about query performance
- Working knowledge of networking, identity, and cloud security fundamentals
- Proficiency with Git and modern code review workflows
- Collaborator across a diverse set of groups, including non-technical scientific stakeholders
- Excellent communication skills
- Multitasking: balancing a diverse set of projects and deadlines
- Curiosity and excitement about technology
- Experience with VPC Service Controls or comparable data exfiltration and perimeter controls
- Experience implementing data governance or audit requirements in a regulated environment
- Experience with BigQuery cost management and access-pattern optimization
- Exposure to scientific data platforms (biological, chemical, clinical, or similar)
- Experience defining SLOs, alerting strategy, or on-call practices
- Track record of success contributing to and advancing discovery programs
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:
- A competitive salary and bonus package based on experience
- Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance
- Company-provided Life and Long-Term Disability Insurance
- Company-sponsored 401(k) Plan
- Company-provided continuing education benefit
- Team-focused culture and unlimited opportunity for advancement
** Candidates must not require sponsorship now or in the future.
Skills Required
- Professional backend development experience with TypeScript and Node.js
- Experience designing and implementing role-based access control
- Relational schema design and migrations using Prisma or a comparable ORM
- Practical BigQuery experience with row-, dataset-, or table-level access patterns
- Production experience with GCP infrastructure, including Cloud Run, Artifact Registry, Cloud SQL, and IAM
- Infrastructure as code experience with Terraform
- Ownership of CI/CD pipelines using GitHub Actions
- Dependency and vulnerability remediation, including Dependabot triage and secrets management
- Production Docker containerization experience
- Observability, logging, and monitoring experience using Cloud Monitoring or equivalent
- Professional experience using AI coding tools such as GitHub Copilot or Claude
- Ability to work independently on a distributed team on a UK or US East Coast schedule
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience
- 2–7 years of professional software engineering or platform engineering experience
- Strong JavaScript and TypeScript fundamentals, including asynchronous patterns and typed API contracts
- SQL proficiency for schema design and query performance analysis
- Working knowledge of networking, identity, and cloud security fundamentals
- Proficiency with Git and modern code review workflows
- Ability to collaborate with technical and non-technical scientific stakeholders
- Excellent communication, multitasking, and project-management abilities
- Experience with VPC Service Controls or comparable data exfiltration and perimeter controls
- Experience implementing data governance or audit requirements in a regulated environment
- Experience with BigQuery cost management and access-pattern optimization
- Exposure to scientific data platforms
- Experience defining SLOs, alerting strategies, or on-call practices
- Track record contributing to and advancing discovery programs
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The Company
What We Do
RCH Solutions is a global provider of specialized scientific computing and Bio-IT services for Life Sciences and Healthcare organizations. They help clients clear the path to discovery and streamline research across the entire lifecycle, from early R&D and preclinical research to clinical operations and commercialization, utilizing expertise in cloud, HPC, AI/ML, and data science.
