Ancestry · 1 day ago

Software Engineer

Lehi, UT

Full-time

Remote

Entry, Mid Level

$89K/yr - $134K/yr

2+ years exp

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Responsibilities

Collaborate closely with bioinformaticians, DNA scientists, and fellow software engineers to translate cutting-edge research algorithms into robust, production-ready software.

Design, build, and maintain scalable workflows using Nextflow to efficiently process large genomic datasets.

Optimize the use of AWS services for high-performance computing, data storage, and cost-effective cloud infrastructure.

Develop and deploy infrastructure-as-code solutions with Terraform, ensuring seamless cloud resource management and scalability.

Write clean, modular, and well-documented code, primarily in Python, with a focus on performance, scalability, and maintainability.

Monitor, troubleshoot, and enhance workflow performance to ensure the reliable and efficient processing of genomic data in production environments.

Participate in code reviews, best practice discussions, and continuous improvement initiatives to advance the team's tools and workflows.

Stay up to date with emerging technologies in genomics and cloud infrastructure, incorporating innovative solutions as appropriate.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonAWSTerraformNextflowMachine LearningBioinformaticsAgile DevelopmentData SecurityGDPRHIPAAJavaJavaScriptRuby

Required

Bachelor's or Master's degree in Computer Science, Computer Engineering, BioInformatics or a related field, or equivalent experience.

2+ years of development experience in one or more programming languages (Python preferred, but Java, JavaScript, or Ruby are considered a plus).

1+ years of experience with cloud computing services, with basic knowledge of common cloud design patterns (AWS experience is a plus).

Experience with Infrastructure as Code (IaC), ideally using Terraform.

Knowledge of best practices in data security and privacy regulations (e.g., GDPR, HIPAA) when handling sensitive datasets.

Familiarity with agile software development methodologies.

Preferred

Experience deploying and scaling machine learning solutions in production environments using tools like AWS SageMaker is highly desirable.

Experience in designing, automating, and managing complex data workflows using Nextflow for bioinformatics, genomics, or other data-intensive applications is a plus.