Junior Software Engineer Intern

vor 2 Wochen

Rolle VD, Waadt, Schweiz SOPHiA GENETICS Vollzeit
Optimize Genomic Analysis Pipelines with SOPHiA GENETICS

We are seeking a highly motivated and skilled intern to join our Technology, Data Science Engineering Team as a Junior Software Development Engineer Intern. In this role, you will work on a project aimed at enhancing the performance and efficiency of genomic analysis pipelines.

Your Mission:

Design, build, and maintain a unified monitoring dashboard to optimize cost, technical performance, and turnaround time of workflow executions on SOPHiA's genomic analysis executor. You will integrate cloud cost data, technical infrastructure metrics, and analytical results into a single tool, monitoring and optimizing resource usage during critical stages of genomic analysis.

Key Responsibilities:

  • Design and implement a multi-faceted monitoring dashboard using Grafana or New Relic.
  • Integrate cloud cost data, technical infrastructure metrics, and analytical results into a unified tool.
  • Monitor and optimize resource usage during critical stages of genomic analysis.
  • Implement performance monitoring and tracing for key pipeline tasks using Prometheus, OpenTelemetry, and Jaeger.
  • Collaborate with bioinformatics and cloud infrastructure teams to ensure workflows are performant, cost-effective, and scalable.

Requirements:

  • Knowledge of monitoring tools (Grafana, New Relic) and cloud environments (AWS, Azure, or GCP).
  • Familiarity with bioinformatics workflows and genomic data processing is a strong plus.
  • Understanding of Prometheus, OpenTelemetry, and performance monitoring.
  • Basic knowledge of microservices and distributed cloud infrastructure.
  • Interest in cloud-based optimization of bioinformatics pipelines.
  • Strong communication skills in English.

What You Will Learn:

As an intern, you will gain hands-on experience in optimizing genomic analysis pipelines, designing and implementing monitoring solutions, and collaborating with cross-functional teams. You will learn how to improve the efficiency, scalability, and cost-effectiveness of large-scale genomic analysis.

Application Process:

Apply now with your CV and any supporting information. Suitably qualified candidates will be invited through an interview and screening process.

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