[Hiring] GCP Cloud Engineer @RCH Solutions

Role 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.
• Build and maintain the workflow orchestration that runs bioinformatics pipelines at scale.
• Function as a team member integrating cloud services, scientific applications, and upstream and downstream data systems into a coherent platform.
• Drive architecture, roadmaps, and execution of projects that deliver GCP-based platform services to scientific end users.
• Develop and implement engineering best practices for customers and RCH applications teams.
• Engage in the fast-moving realm of Life Sciences, prioritizing innovation.
• Make recommendations that best suit our clients’ needs in a continuously evolving cloud landscape and bioinformatics tooling ecosystem.

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.

Requirements

• 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.
• Knowledge of R, or other programming languages common in scientific computing.
• Good knowledge of deploying or supporting GxP systems.
• Experience with Git, BitBucket, or other version control tools.

Benefits

• 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.