Build and maintain web interfaces and backend services to transform scientific data into structured knowledge assets. Support application deployment, containerization, and system reliability across various environments.
The developer will build robust, performant, user-facing web applications using Python/Django/Angular to support millions of daily users. This includes developing new functionality for user interaction and scientific data visualization using modern APIs and frameworks within an agile team.
The Platform Ops Lead will lead a team of Operations Support Engineers to assist internal developers in transitioning legacy software development and deployment to a modern DevOps platform based on GitLab and Kubernetes. Key duties include identifying and resolving operational problems in a micro-service environment, working with developers on deployment issues, and ensuring applications meet their SLOs.
The manager will lead a platform team responsible for developing and continuously improving the DevSecOps, DataOps, and Observability platforms, including maintaining common tools and evaluating new technologies. This role also involves ensuring compliance with Federal application security regulations through automated solutions and pipelines while encouraging agile development and continuous improvement.
The Project Manager will coordinate the full software development lifecycle in a scientific environment, defining requirements, planning quality control, and managing implementation and integration using Agile methodology. This role involves daily coordination of complex technical projects dealing with scientific and genomic data, tracking milestones, and advising senior management on technical issues.
