Design, build, and deploy microservices and APIs on Google Cloud Platform to support scientific and bioinformatics workloads. Manage workflow orchestration for bioinformatics pipelines while ensuring system compliance and operational stability.
About Us RCH Solutions is a rapidly growing global provider of computational science expertise within Life Sciences and Healthcare. At RCH, our team rallies around a culture crafted for learning and achieving. We’re relentless in our pursuit for innovation and demanding of ourselves to deliver a ground-breaking computing experience for our clients, so that they can deliver life-saving science to humanity.
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:
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.
If you share in our core values, then we encourage you to continue reading this posting as you may have found a great home for your career. Job Description RCH Solutions is seeking a Cloud Engineer to design, build, and operate cloud-native services on Google Cloud Platform in support of research and bioinformatics workloads. The right candidate will develop microservices and web applications that put scientific computing directly in the hands of researchers and will build and maintain the workflow orchestration that runs bioinformatics pipelines at scale. You will function as a team member integrating cloud services, scientific applications, and upstream and downstream data systems into a coherent platform. Our ideal candidate is an experienced and talented engineer who is equally comfortable writing production code and reasoning about infrastructure, and who will be instrumental in transforming how computing services are leveraged to support our client's science.
This role will involve driving architecture, roadmaps, and execution of projects that deliver GCP-based platform services to scientific end users. You will develop and implement engineering best practices for customers and RCH applications teams; engaging in the fast-moving realm of Life Sciences, prioritizing innovation. The cloud landscape and the bioinformatics tooling ecosystem are both continuously evolving, with new services and pipeline frameworks released constantly. You know how to distinguish hype from reality and are comfortable making recommendations that best suit our clients’ needs.
Responsibilities:
Design, build, and deploy microservices and APIs on Google Cloud Platform to support scientific and bioinformatics workloads
Develop and maintain web applications that give researchers self-service access to data, pipelines, and compute
Build, operate, and tune workflow orchestration for bioinformatics pipelines, including scheduling, error handling, and runtime and cost optimization
Integrate cloud services, scientific applications, and internal and third-party data systems through well-documented, maintainable interfaces
Ensure that all systems are compliant with company security standards and applicable regulatory requirements
Troubleshoot operational issues as they arise on supported platforms, and escalate to other IT units as necessary
Essential Qualifications:
3+ years of professional experience in cloud engineering or software engineering, including production workloads on Google Cloud Platform
Experience designing and deploying microservices, including containerization and REST or gRPC API development
Experience with a workflow orchestration framework for scientific or data pipelines, such as Nextflow, Cromwell, Snakemake, or Airflow
Demonstrated systems integration experience connecting cloud services, applications, and external data sources
Web application development experience, either full stack or strong backend skills paired with working front-end proficiency
Proficiency in Python and comfort working in a Linux environment
Excellent communication skills, including preparation of written documentation for IT colleagues and scientific end users
Bachelor’s degree in computer science, Bioinformatics, or equivalent work experience
Preferred Qualifications:
Hands-on experience supporting bioinformatics or computational biology workloads, such as genomics and NGS pipelines, structural biology, or cheminformatics
Familiarity with GCP services including GKE, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, and Cloud Storage
Experience with infrastructure as code, such as Terraform
Proficient in building Docker images
Experience with CI/CD for building and deploying containerized services
R, or other programming languages common in scientific computing
Has good knowledge of deploying or supporting GxP systems
Git, BitBucket, or other version control tools
Additional information 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.
Team-focused culture and unlimited opportunity for advancement.
**This role is fully remote, and the candidate must be available to work on an East Coast time schedule. **Role is only open to applicants not needing sponsorship now or in the future, no third parties please.
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