Research Assistant (Software Engineer)

Overview

We are looking for people with a strong background in Computation & data infrastructure and/or building data systems. They must be comfortable working with a range of stakeholders and functional teams including Students, Faculty, IT and External Collaborators. The right candidate will have a passion for working with numerous small research teams to assist in managing their Infrastructure needs and advise them on best practices to engineer their projects efficiently. 

Responsibilities

INFRASTUCTURE MANAGEMENT (50%): 
•    Maintain servers, including file , web , proxy servers, including security patches.
•    Allocation of compute / storage resources as needed.
•    Analyse institute infrastructure needs to implement for services providing improvements to systems.
•    Management of the Institute Website.
•    Liaise with Global IT teams to ensure compliance to their policies and be a single point of contact for the institute for troubleshooting.
•    Manage recording and streaming systems during regular seminars / Conferences and workshops.

DATA ENGINEERING (25%): 
•    Support research teams with advice on efficient Data Engineering practices including automation of data pipelines, data cleansing, integrity checks etc.
•    Develop processes to handle remote data access / management in compliance with security best practices (and appropriate policies)
•    Assess the effectiveness and accuracy of new data sources and data gathering techniques.

SYSTEM DEVELOPMENT (25%): 
•    Create APIs for integrate data source into functional blocks of software & services.
•    Create APIs for downstream usage of Data models. 
•    Coordinate with different functional teams to implement models and monitor outcome
•    Promote security best practices for application development

Requirements

•    Bachelor degree in Computer Science, Operations Research, Engineering with more than 3 years relevant experience
•    Experience in maintaining virtualised server infrastructure and creative problem solving within large IT infrastructure.
•    Deep understanding of statistical analysis, data mining or machine learning
•    Practical experience in working with large structured and unstructured data set
•    Ability to think analytically and deliver results that drive business decision making
•    Team player to build strong partnerships
•    Have competency in one or more of the programming languages or tools: Python, R, Spark
•    Experience in security engineering will be a plus
•    Experience or knowledge in AWS/GCP environment will be a plus
•    Prepared to take on new challenges and ad-hoc requests that need a quick turn-around
•    Excellent written and verbal communication skills for coordinating across teams.