V-Nova, a London based IP and software company, is dedicated to improving data compression by building a vast portfolio of innovative technologies based on the game-changing use of AI and parallel processing for data, video, imaging, and point cloud compression, with applications across several verticals. This is achieved through deep-science R&D (300+ international patents) and the development of products that test, prove and continuously enhance the technology portfolio.
V-Nova has contributed part of its IP to drive standardization of two codec formats, MPEG-5 Part 2 (LCEVC), a low-complexity enhancement video codec, and SMPTE VC-6 (ST-2117), a high-performance AI-based video and imaging codec. V-Nova has developed multiple award-winning software products to kickstart the ecosystems for its technologies and allow their immediate deployment, addressing use cases in TV, media, entertainment, social networks, eCommerce, ad-tech, security, aerospace, defence, automotive and gaming.
We’re committed to the extraordinary and rely on the talent of our high-performing diverse teams to provide innovative solutions and deliver what we promise. We’ve worked hard to create a company where talented, passionate people can thrive in a culture that values individual empowerment and excellence and achieves through teamwork. We’re constantly on the lookout for exceptional individuals who thrive off solving challenging problems and want to make an impact. With groundbreaking technology, a fast-paced collaborative environment and major growth plans, there’s never been a more exciting time to join us!
As an AWS/DevOps Systems Engineer, your mission will be to use cutting edge technology to build and automate a highly efficient, flexible and fault-tolerant AWS infrastructure. You should be highly motivated and talented engineer with a strong desire to learn and grow your skills managing and automating cloud environments. You will be responsible for all aspects of the infrastructure, such as networking, storage, monitoring, capacity planning, load balancing, disaster recovery etc. and work continuously with other DevOps teams, embracing DevOps philosophies and driving key deliverables into our organisation.
Knowledge and practical experience of auto-scaling machine learning based systems in AWS.
GCP or azure would be a plus
Experience with agile software development + DevOps philosophies
Experience with Atlassian tools (JIRA/Confluence)
Experience with configuring and using a CI/CD tool such as Jenkins/Gitlab CI