Joshua Minien
About Joshua Minien
Joshua Minien is a DevOps Engineer currently working at Luminance in Cambridge, England. He has a background in engineering and research, having previously held positions at the University of Surrey, ClimateOrb, and Imperial College London.
Work at Luminance
Joshua Minien has been employed at Luminance as a DevOps Engineer since 2021. In this role, he manages technical operations for cloud instances that support machine learning software products accessed via web applications. He utilizes tools such as Grafana for monitoring AWS instances and employs EC2 and S3 features to meet client resource needs. His responsibilities also include automating internal workflow processes using UNIX shell.
Education and Expertise
Joshua Minien holds a Master of Engineering (MEng) degree in Aerospace, Aeronautical and Astronautical Engineering from Imperial College London, which he completed from 2015 to 2019. He also studied at Reading School from 2012 to 2014 and at The Oratory School from 2007 to 2012. His educational background has equipped him with a strong foundation in engineering principles, which he applies in his current role.
Background
Prior to his current position, Joshua Minien worked in various roles that contributed to his professional development. He served as a Doctoral Researcher at the University of Surrey from 2019 to 2021, and as an Undergraduate Research Assistant at Imperial College London in 2018. He also gained practical experience as a Mechanical Engineering Intern at ClimateOrb in Shenzhen, China, and as an Industrial Placement Student at Ryobi Aluminium Casting (UK) Ltd in Belfast.
Technical Skills
Joshua Minien possesses a range of technical skills relevant to his role as a DevOps Engineer. He works extensively with Postgres database and Elasticsearch for daily operational tasks. His expertise includes managing cloud infrastructure and utilizing monitoring tools to ensure optimal performance. He is proficient in automating workflows using UNIX shell, which enhances efficiency in operational processes.