Senior Software & Cloud Data Engineer for various and unanticipated worksites (HQ: Chicago, IL). Lead cloud data engineering and operations. Investigates, analyzes and resolves day-to-day technical problems. Works with stakeholders to gather and analyze requirements for developmental programs. Design applications to meet University and business requirements. Performs code testing on components and works to ensure that appropriate implementation standards are met, including Gen3, GA4GH (for data repositories and workflows), and FedRAMP, FISMA Moderate standards and FAIR principles are met. Evaluates design alternatives for development cost and solutions using various methods. Supports and maintains existing applications. Designs and develops software and models for development projects. Provides support and maintenance for existing applications. Translates technical progress and complications into non-technical prose for reporting and project management updates. Translates business requirements into technical requirements, collaborating with cross-functional subject matter experts to ensure business requirements are met by software development and technical operations. Co-lead technical meetings with external partners to propose co-development of separate systems to meet business needs from scientific and business communities. Advocate for project needs as part of the software product team. Demonstrate programs and provide appropriate written documentation of project development and programming code. Solves complex programs and works at a high technical level in all phases of development. Contribute to scientific publications on software for data commons, meshes, fabrics. Contribute to global standards (especially GA4GH) for software storing, sharing, accessing, and computing on human genomic data through collaborating with other global leaders and by writing, reviewing, and implementing code. Co-leads design & regular maintenance of data operations of petabyte-scale workflows of replicating and/or indexing sensitive, controlled & open access data into cloud environments with FAIR compliance. Manages and implements regular data operations of petabyte-scale data transfer, index, and replication workflows in private and public cloud environments. Tech: AWS, GCP, JavaScript, Python, Web services, Web applications, RESTful API, microservices, and containerization; container-based deployment solutions (Docker, Kubernetes); React, Terraform, Golang/JavaScript; PostgreSQL; CI/CD; open source; Git.
Education:Â Â
Bachelorâ™s degree in Computer Science or related field plus two years of experience in software development required. Required skills: 2 years experience with each: writing applications using Python and Go; Kubernetes; Docker; Postgre SQL; High performance or cloud computing on AWS and GCP; microservice development for FISMA and FedRAMP Moderate systems; Git; in genomics, data science, scientific visualization or workflow engines; GA4GH standards for data repositories and workflows; FAIR principles. 1 year experience writing applications in JavaScript. Experience must include: React, terraform. Background check including review of conviction history required. Position is in office & remote â“ ability to come on-site as needed.
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