Research Infrastructure and Software Engineer

Harvard Kennedy School is part of Harvard University, dedicated to improving public policy and leadership. They are seeking a Research Infrastructure and Software Engineer to design and build software and platforms for scalable research, collaborating with various stakeholders to address the complexities of research compliance and enablement.

Responsibilities:

• Design, build, maintain, and document research computing and storage infrastructure on-prem, in the cloud, or hybrid
• Work closely with the LRS research enablement team to design and develop solutions for research, research enablement, and training at HKS
• Provide guidance and advisory services, and develop and deliver trainings to the HKS research community
• Develop solutions aligned with the Harvard information security and data policies
• Stay abreast of emerging technologies and incorporate them into solutions, as appropriate
• Employ best practices in designing, developing, and maintaining solutions
• Collaborate with the members of the Research Computing and Data Services group to develop and continually update and expand a research engineering services and solutions portfolio that addresses current and future needs of the HKS research community
• Build trust and rapport with the HKS research community, HKS and Harvard central IT groups

Requirements:

• Bachelor's degree in an engineering or related field and a minimum of five years' relevant work experience, or
• A minimum of nine years of relevant work experience or equivalent combination of education and experience
• Proficiency in Python or another advanced programming language
• Experience with building production quality services
• Experience with Linux, containerization, orchestration, cloud services, and infrastructure as code
• An ability to work in a distributed organization that often requires collaborating with multiple parties to accomplish objectives
• An ability to partner with research, business, and technical subject matter experts to successfully develop and implement solutions
• The willingness and proven ability to think strategically, and proactively take responsibility, ownership, and action to ensure the success of projects and initiatives
• Demonstrated ability to work effectively in a collaborative and/or team environment
• A commitment to belonging, community, and connection
• Understanding of technologies employed in research in higher education
• Familiarity with distributed computation solutions
• Familiarity with GPU profiling and optimization
• Experience with data/storage systems
• Strong prioritization, process, and time management skills
• Strong interpersonal skills and ability to influence others effectively