Infrastructure Software Engineer, Pestilli Lab

University of Texas at Austin

72d • $70,000

About The Position

The Pestilli Lab in the Department of Psychology collaborates with scientists and developers across the globe. We develop standards and technology for the management and processing of brain and health data. Simplifying the way data is stored, processed, analyzed and shared can improve scientific understanding and education. The Pestilli Lab promotes progress in psychological and brain science via the democratization of scientific research, methods, data and infrastructure. We strive to advance societal good by accelerating neuroscientific discovery and education via data-science applications and innovative technology. This is a one-year position with the chance to renew yearly based on performance.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• At least one year of experience in back-end software development with a strong focus on database infrastructure and cloud computing.
• Proficiency in database management systems (e.g., PostgreSQL, NoSQL).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Hands-on experience with Docker for containerization.
• Understanding of Kubernetes for container orchestration.
• Understanding of networking, TCP/IP, HTTP, firewall.
• Knowledge of programming languages such as Python and JavaScript.
• Familiarity with data security and best practices for privacy.

Nice To Haves

• At least three years of experience in back-end software development with a strong focus on database infrastructure and cloud computing.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication and teamwork abilities.
• Detail-oriented with a commitment to delivering high-quality work.

Responsibilities

• Architect and implement scalable and efficient database solutions to handle large volumes of neuroscience data.
• Build and manage cloud-based infrastructure to support the storage, processing, and analysis of neuroscience data.
• Utilize Docker for containerizing applications and Kubernetes for orchestrating and managing containerized applications in a cloud environment.
• Maintain comprehensive documentation for database systems, code, and processes.
• Work closely with research teams to understand their data requirements and provide technical solutions that meet their needs.
• Monitor and optimize database performance, addressing any issues related to scalability, latency, and data retrieval.

Benefits

• Retirement plan eligibility through Teacher Retirement System of Texas (TRS).
• Opportunity for professional development and growth.
• Work in a dynamic environment at a leading university.

What This Job Offers

• Job Type: Full-time
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees