The Position:

Plays a critical role within the Bioinformatics & Data Science Development team with a strong background in cloud engineering and application development. The individual in this role will be proficient in Python, demonstrate sound software engineering principles, and contribute to the design, development, and deployment of scalable cloud-native applications that power Veracyte’s products and services.

Key Responsibilities

• Design, develop, and maintain cloud-based applications and services using Python and modern frameworks.
• Utilize AWS services to build, deploy, and manage scalable applications and data pipelines in the cloud.
• Partner with bioinformatics scientists/computational biologists to productionize research workflows.
• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
• Ensure code quality through unit testing, integration testing, and adherence to best practices.
• Troubleshoot and resolve complex technical issues and bugs.
• Write clean, maintainable, and efficient code, and maintain documentation for code, architecture, and operational procedures.
• Implement and optimize CI/CD pipelines for automated testing and deployment.
• Participate in code reviews and provide constructive feedback to peers.
• Stay current with emerging technologies and industry trends in cloud computing and software development to ensure our solutions remain current and competitive.
• Operate within CAP/CLIA- and IVD-regulated environments.

Who You Are:

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• A minimum of 5 years of professional experience in software development.

Required Skills & Knowledge

• Strong proficiency in Python and familiarity with its ecosystem.
• Experience building and operating data processing pipelines in a cloud environment.
• Proven experience delivering solutions making use of AWS services like EC2, ECS, AWS Batch, AWS Step Functions.
• Understanding of software development best practices, including design patterns, coding standards, version control, testing and documentation.
• Familiarity with containerization technologies (e.g. Docker, Kubernetes), RESTful API and microservices architecture.
• Experience with Infrastructure as Code (IaC) using AWS CDK, CloudFormation or Terraform.
• Experience with CI/CD tools such as AWS CodePipeline and Bitbucket Pipelines.
• Knowledge of SQL and NoSQL databases, including data modeling concepts.
• Excellent problem-solving skills and the ability to work independently or as part of a team.

Preferred Qualifications

• Experience working in Agile development environments, including Scrum-based teams.
• Familiarity with workflow orchestration languages such as Nextflow or WDL.
• Experience working with data lakes and large-scale analytical datasets using AWS services such as Athena and Glue.
• Exposure to genomic workflows and tools that are used to produce and operate on sequencing data (FASTQ, BAM, VCF).
• Exposure to bioinformatics and molecular biology concepts is a plus
• Experience in the diagnostics industry is preferred
• Experience with Atlassian suite of tools for productivity.
• Exposure to data engineering or machine learning workflows is a plus.
• Experience with web development technologies such as Node.js, React, Vue.js, or similar.

#LI-Hybrid, or #LI-Remote

For candidates based in our San Diego office, the salary (or hourly range is $XX - $XX.

For candidates based in our South San Francisco office, the salary or hourly range is $XX - $XX.

For candidates working remote (US), the salary or hourly range is $XX - $XX.