Search the 8 jobs at Ancestry

As a Staff Site Reliability Engineer at Ancestry, you'll enhance the reliability and scalability of services. You'll collaborate with engineering teams, ensure compliance with SLO/SLI and Error budgets, develop monitoring and automation capabilities, debug complex issues in AWS, and support best practices in infrastructure and cloud. Training and mentoring in AWS and cloud automation are also key responsibilities.

As a Senior Program Manager, you will lead cross-functional teams in product and feature delivery, manage processes for improved efficiency, ensure stakeholder alignment, provide visibility into project status, and oversee marketing plans for product launches.

As a Senior Software Engineer on the Fold3 team at Ancestry, you will lead front-end development, optimize cloud infrastructure, write clean React code, develop test cases with Cypress, and mentor junior developers while actively participating in design discussions.

As a Software Engineer on the DNA Engineering team, you will enhance the DNA processing pipeline, build scalable workflows using Nextflow, optimize AWS services for performance and cost, and develop infrastructure-as-code with Terraform while collaborating with bioinformaticians and scientists.

The Senior Bioinformatics Engineer will develop and maintain bioinformatics pipelines, optimize AWS infrastructure, automate workflows, and collaborate with scientists to support research projects at Ancestry. The role involves managing large datasets and deploying machine learning software in cloud environments.

The Senior Manager, Places will lead the strategy for workplace experience across Lehi and San Francisco offices, focusing on hybrid work optimization, physical security, real estate operations, and ESG reporting, while enhancing employee experience.

The General Ledger Accountant at Ancestry will maintain accurate records, perform monthly closings, prepare balance sheet reconciliations, analyze variances, improve financial processes, manage royalty agreements, and collaborate with various teams and auditors while ensuring precise financial reporting.

As a Staff AI/ML Engineer, you will design and implement scalable ML models using AWS technologies, collaborate with teams to meet project requirements, optimize data processing workflows, and provide leadership in ML project planning. You'll also mentor junior members and ensure best practices are followed.