Software Engineer - Glasgow Responsibilities: To drive the evolution and deployment of Data and AI capabilities within the businesses and to our customers in order to increase growth in orders and increased customer satisfaction. Work with stakeholders throughout the Thales UK businesses to implement technology solutions that support an integrated approach to data integration/curation deployed across Thales UK. Develop, test, deploy, and support software offerings into an internal catalogue of reusable/re-deployable capabilities focused around data integration and curation. Interact with other data solutions architects and engineers across the business working in Data and Digital. Deliver data solutions that make up new or enhanced market offers. Provide technical feedback of solutions. Deliver Proofs of Concept and act as a technical expert in DevOps solutions used transversally throughout the business. Be part of the Thales UK Data and Digital Competence Centre team to ensure that the technology strategy, human capabilities, and opportunity pipeline is enabling the business strategy and growth. Connect with stakeholders across engineering, Thales UK, and Group Digital Competence Centres thinking. Required Skills: Experience in the defence Industry or Aviation/Medical in related software/DevOps/DevSecOps roles CI/CD deployment Software development and deployment in complex programmes Strong Data and Application understanding with underpinning Infrastructure solution development Technical Documentation production to a high standard Experience working on Linux or Windows based infrastructure Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java Configuration and managing databases such as MySQL, Mongo Excellent troubleshooting Working knowledge of various tools, open-source technologies, and cloud services Awareness of critical concepts in DevOps and Agile principles Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT, predictive analytics, machine learning, and artificial intelligence General IT Knowledge (applications, storage, networks, IT infrastructure, Infrastructure, service level agreements, Asset management etc)