This is an early-stage technology company based in the centre of Leeds; they are building advanced software for the Data Centre (DC) and Cloud industry using AI/ML techniques to recognise and learn the behavioural patterns of machines, software containers, and users inside DCs.
They are looking for a developer/senior developer to play an important role in the creation of an innovative SaaS product for behavioural analytics in the data centre industry. This will involve working closely with team members to solve difficult challenges in a wide range of areas, from state-of-the-art machine-learning to big data processing/storage and hardware monitoring.
ROLE
The successful candidate will liaise with their R&D teams to implement hybrid SaaS-based solutions that take their technology from prototype to product. This will involve working at all levels of the software stack, from architecture to remote deployment to distributed systems integration.
The candidate will be working with a wide range of technologies, including, but not limited to, container-based systems (especially Kubernetes), Platform as a service (PaaS) and machine-learning services. Data centre industry experience would be a benefit but is not essential.
The successful applicant may from time to time be required to attend conferences and industry events (both nationally and internationally) and work with development partners.
MINIMUM REQUIREMENTS
- Strong programming ability in at least one of Python, Java or C/++
- Experience in architecting and building production-quality SaaS applications
- Experience in database design and administration
- Experience of working with Distributed Messaging Systems (Kafka, RabbitMQ etc.)
- A good working knowledge of Linux system environments
- Experience of continuous integration/agile/DevOps techniques
- Strong teamwork/communication skills
DESIRABLE SKILLS
- Experience in basic machine-learning
- Experience in development using Golang
- Front-end web development experience
- Experience in the storage and processing of large datasets (Big Data)
- Experience with container management systems
- Data centre domain knowledge
- A BSc degree (or equivalent) in Computer Science or a related field
COMPANY BACKGROUND
They use these patterns to drive patented resource scheduling algorithms, allowing the monitoring and forecasting of system behaviour and greatly improving management, utilisation, and efficiency.
They are a small, friendly team of developers and academics. As well as the opportunity to be involved in leading-edge development, working with some of the best people in the industry, they offer the following benefits:
- Personal development / training opportunities
- Stock options
- Childcare voucher scheme
- Cycle to work scheme
- Employee benefits scheme
- Pension scheme