Senior Backend Software Engineer
2 weeks ago
Groupe SII is seeking a highly skilled Backend Software Engineer to join our Visualization and Interactive Data Analysis group. As a key member of our team, you will be responsible for designing and developing high-performance systems to transform, analyze, and query large datasets.
Key Responsibilities- Develop and Maintain Scalable Systems: Design and implement highly performant systems to process and analyze large datasets from distributed sources.
- API Development: Create and maintain APIs to quickly access data from web-based applications.
- Workflow Management: Develop processes to schedule, execute, and monitor data transformation workflows.
- Collaboration and Problem-Solving: Work closely with computational scientists, biologists, and software engineers to identify and solve complex scientific software engineering challenges.
- Cloud Infrastructure: Utilize cloud infrastructure, particularly AWS, to establish APIs and data services or databases.
- Large Data Storage and Extraction: Store and extract large amounts of data via cloud-based systems, including S3 buckets.
- Education: Bachelor's degree or higher in Bioinformatics, Computer Science, or related fields.
- Expertise: 5+ years of experience in Python, designing and developing high-performance systems, and package development.
- API Development: Expertise in building, deploying, maintaining, and monitoring APIs.
- Workflow Management: Experience with designing, running, and maintaining workflow processes, containers, schedulers, and systems in on-premise servers and the cloud.
- Scientific Computing: Experience with scientific computing packages (SciPy, NumPy, pandas, etc.).
- Cloud Infrastructure: Proficiency with cloud infrastructure, particularly AWS, to establish APIs and data services or databases.
- Large Data Storage and Extraction: Experience with storing and extracting large amounts of data via cloud-based systems, including S3 buckets.
- Software Engineering Best Practices: Demonstrated adherence to best practices in software engineering, particularly usability, version control, testing, and appropriate use of abstraction.
- Formal Build/Release/Deploy Frameworks: Familiarity with formal build/release/deploy and continuous integration frameworks.
- Kubernetes and FaaS: Experience with Kubernetes, AWS Lambda, and other FaaS or containerized workloads.
- Deployment Infrastructure: Maintaining deployment infrastructure (reproducible, and IaaS), monitoring of events, and system maintenance.
- Data Wrangling and Analysis: Experience with data wrangling, processing, and analysis in Python and/or R.
- Biological Domain Knowledge: Familiarity with biological domain knowledge, specifically in single cell genomics.
- Interactive Visualization: Experience building interactive visualization applications using modern frameworks and technologies (e.g., React, Vue, Svelte; WebGL).
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