Software Engineer, Cloud Engineer - Software, Full Stack Developer

About Ancestry

When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives.

Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families. We are committed to our location‑flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office – see the full list of eligible US locations here).

We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that is inclusive and diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.

Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.

Ancestry seeks a passionate, highly motivated, and exceptional Staff Software Engineer to join our DNA Engineering team. This team is critical in processing Ancestry

DNA data, using advanced algorithms to determine DNA matches, estimate genetic ethnicity, predict physical traits, and more. As a Staff Software Engineer on the team, you will contribute to developing and enhancing our DNA processing pipeline. Your work will include building new features that directly impact and enhance the Ancestry

DNA customer experience.

• Collaborate closely with bioinformaticians, DNA scientists, and fellow software engineers to translate cutting‑edge research algorithms into robust, production‑ready software.
• Lead efforts to 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 while guiding the team to do the same.
• Monitor, troubleshoot, and enhance workflow performance to ensure reliable and efficient processing of genomic data in production environments.
• Participate and lead 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.

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Bioinformatics or a related field, or equivalent experience.
• 7+ years of development experience in one or more programming languages (Python preferred, but Java, JavaScript, or Ruby).
• 4+ years of experience with cloud computing services, with 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.
• Experience deploying and scaling machine‑learning solutions in production environments using tools like AWS Sage Maker is highly desirable.
• Experience in designing, automating, and managing complex data workflows…