As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
As part of the AWS Life Sciences organization, our mission is to help organizations unlock not just data, but human potential: accelerating research, enhancing quality of care, and ultimately improving lives with compassion, precision, and technological excellence. We believe that behind every data point is a human story. A patient's hope, a researcher's breakthrough, a life-changing discovery. We build services that empower life sciences organizations to translate insights into tangible improvements in human health and scientific understanding.
The AWS HealthOmics Workflow Orchestration team owns the runtime engine that executes genomic workflows at massive scale. We manage the full lifecycle of workflow execution, including task queuing, scheduling to provisioned compute resources, container orchestration, and connectivity management, enabling biopharmaceutical companies and research institutions to process clinical diagnostic and R&D workloads on AWS. When a clinician orders a genomic test for cancer detection or hereditary disease screening, our infrastructure ensures those results are delivered accurately and on time.
We are seeking a Software Development Manager who is passionate about applying AWS compute infrastructure to solve real-world bioinformatics challenges. Our service has experienced triple-digit growth for multiple years, and we need leaders who can drive down execution time while scaling to meet rapidly increasing customer demand. If you thrive at the intersection of distributed systems, infrastructure at scale, and life sciences, and want to lead a team delivering technology that directly impacts patient care decisions, this is the place for you.
Key job responsibilities
As a Software Development Manager (SDM) in AWS HealthOmics, you'll lead a team of 12 software engineers building and operating the orchestration layer that powers genomic workflow execution across AWS compute infrastructure. You will own the systems that schedule bioinformatics tasks to EC2 resources, manage container lifecycles, and ensure workflow resiliency at scale, all while meeting the stringent security and compliance requirements of a HIPAA-eligible service handling sensitive patient genomic data.
You will drive the technical strategy for scaling our orchestration infrastructure, reducing workflow execution overhead, and extending batch and connectivity capabilities for enterprise customers. You'll partner closely with infrastructure, product, and science teams, and engage directly with customers to understand their workflows and translate their needs into large product improvements that deliver measurable impact. You should be comfortable leading through ambiguity, making data-driven architectural decisions, and balancing the competing demands of scaling infrastructure, operational health, and new feature delivery.
The ideal candidate has experience managing teams that build and operate distributed systems at scale, ideally involving compute orchestration, container management, or workflow scheduling. You bring clarity to ambiguous problems, foster a culture of operational rigor, and believe that proactive investment in reliability and developer productivity compounds over time. Experience in life sciences or bioinformatics is a plus, but a deep interest in the domain and a track record of delivering infrastructure services on AWS is what matters most.
About the team
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