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)