Application DevOps Engineer

Reporting to the Director of A2A RS Operations, you will: Build automatic monitoring tools for complex, data science based microservice deployments. Ensure that our models are continuing to detect fraud and money laundering as they should, predict the future capably, and generate the right economic insights. Working with our Data Scientists to collect data and train models to enhance our services accuracy and reduce unnecessary alerts. Working with our Engineers, seek to develop a self-healing and resilient set of microservices, promoting good operational principles during our research, design, and development phases. Engage with current and future technology stacks, in the UK and internationally. Utilise Incident Management processes, automating as much as possible and integrating with Mastercards ticketing systems. Communicate with both internal stakeholders and collaborators, as well as with technical and business functions within our clients. All About You Your passion is in building robust, smooth running services to solve real, pressing problems in the financial services sector. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are excited by new technology and new approaches to development, and are keen to promote their use in an enterprise setting. You are detail oriented, and don't mind getting your head down writing or reviewing code. You are happy to be on-call, though you aim to contribute to our software in such a way as to limit or even remove the need for anyone to be on-call. You have 1 or more years worth of demonstrable experience in software development, data science, devops, operations or a related discipline. You are comfortable communicating with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. You are a confident software developer, and can write (or are happy to learn) Python and Go. You have a firm grasp of traditional data warehousing, can write SQL, and can optimise the use of a large relational database. You have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores.