Software Engineer II

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way its about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.

Our Values:

• We Seek A Better Way
  :
  We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care
• We Make It Happen
  :
  We act with urgency, commit to quality, and bring fun to our hard work
• We Are Stronger Together
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  We collaborate openly, seek to understand, and celebrate our wins
• We Care Deeply
  :
  We embrace our differences, do the right thing, and encourage each other

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.

• 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 product ionize 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.

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

• 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, Cloud Formation or Terraform.
• Experience with CI/CD tools such as AWS Code Pipeline and Bitbucket Pipelines.
• Knowledge of SQL and No
  
  SQL databases, including data modeling concepts.
• Excellent problem‑solving skills and the ability to work independently or as part of a team.

• 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…