Research Software Engineer

Summary: The University of Texas at Austin is a leading institution in computational research, and they are seeking a Research Software Engineer to support application-driven advanced computation on their systems. The role involves developing software solutions and engaging with the research community to address technical computing challenges. Responsibilities: - Support application-driven advanced computation on TACC systems, which includes working with researchers to improve and/or develop new advanced computation workflows; making contributions to training materials and documentation; serving as an instructor/presenter/representative at workshops, conferences, or courses; resolving user requests for assistance; and working with researchers to support their advanced computation workflows - Provide technical contributions to projects, which includes supporting domain-specific challenges faced by group projects; and develop technical skills in areas of current/anticipated project needs - Engage the community through dissemination and outreach, which includes maintaining a public resource of developed materials (e.g. source code, documentation); and contributing to dissemination efforts led by others Required Qualifications: - Bachelor's degree in computer science - One or more years' hands-on experience developing research software on high performance computing and cloud systems - Experience developing science gateways and web-based reports using Flask and Plotly Dash - Experience working with Neo4j graph databases - Experience working with large spatial images - Experience with agile software development in a research setting - Experience in creating and managing Docker containers - Experience working in a Linux/UNIX command line environment including basic shell scripting - Experience with source control systems, preferably Git - Experience with core components of web server deployments including WSGI and reverse proxy - Strong interest in engaging and empowering researchers - Strong interest in enabling open, reproducible research - Strong problem-solving and analytical skills - Strong Python programming skills - Demonstrated ability to work and meet deadlines independently and as a member of a team - Ability and willingness to travel, estimated up to 40% of time Preferred Qualifications: - Experience working with data in a HIPAA compliant environment - Experience with computational workflow scripting and/or APIs - Experience developing software containers - Experience leveraging public or commercial cloud computing - Demonstrated ability to convey complex technical information clearly and empathetically in training sessions and professional presentations Required Skills: High performance computing, Flask, Python Important Skills: Docker, Linux/UNIX, Git, Agile development Nice-to-Have Skills: Analytical skills, Problem-solving, Teamwork, Communication Benefits: 100% employer-paid basic medical coverage, Retirement contributions, Paid vacation and sick time, Paid holidays