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Software Engineer

Thales
Glasgow
9 months ago
Applications closed

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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)

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