Software Engineer developing software supporting integrated applications for Navy Combat Weapon System. Responsible for quality assurance, GUI development, and applying technical expertise in computer programming.
About the role
- Software Engineer developing AI solutions for a leading construction software provider. Involved in both development and deployment while collaborating with cross-functional teams.
Responsibilities
- Responsible for the quality of software development and deployment.
- Perform and create automated and manual tests to ensure the software created is fit for purpose.
- Design, code, test, and debug technical solutions.
- Provide product support (fixing defects) in older technologies where required.
- Write clean, well-designed documented/commented code.
- Estimate effort required to accomplish requirements.
- Collaborate with other team members to help specify, design, and develop software.
- Identify process deficiencies and propose and implement solutions and improvements.
- Ensure that technical implementation is technically sound, defect rates are minimised, and products are inexpensive to maintain and support.
- Work with the security team to ensure data security standards are always met.
- Take responsibility for personal development, ensuring knowledge and skills are maintained.
Requirements
- Essential Experience as a Software Engineer or similar role.
- Experience in Python.
- Good understanding AI - LLMs and Machine Learning frameworks.
- Understanding of Data.
- Good knowledge of quality standards, legislation and best practice.
- Awareness of current trends and developments in software engineering.
- Experience with Agile (Scrum) methodologies and project management.
- Ability to identify technical risks and propose alternative solutions.
- Degree level or equivalent education preferred in a relevant subject such as computer sciences, computer engineering, information management systems, software development or business information systems etc.
- Desirable Experience in JavaScript/Angular/Knockout would be advantageous.
- Awareness and experience of Google Kubernetes Engine and GCP offerings plus other engines such as Jenkins & Azure Dev Ops.
- Awareness and experience of AWS.
- Highly developed attention to detail.
Benefits
- 25 days annual leave + public holidays, increasing with length of service.
- 4% matched pension.
- Income protection and life assurance.
- Access to our award-winning benefits platform.
- Dedicated EAP available 24/7.
- £100 allowance towards a fitness club.
- Dell discounts.
- Private Medical Insurance.
- Paid study leave + volunteering days.
- Car Scheme.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Java Developer for global air booking platform at Amex GBT, designing and developing software application components and improving microservice systems.
Software Engineer developing Java business applications at Broadridge. Responsible for software design, implementation, and technical leadership in a hybrid working environment.
Technical Lead managing modernization initiatives for Contact Centre technology at Canada Life. Building senior relationships to influence technology directions and drive performance standards.
Lead Software Engineer delivering high - impact software at Findigs, enhancing the renting process through innovative technology. Collaborate with teams and mentor engineers in a hybrid work environment.
Software Engineer focused on analysis and development of financial health applications for corporate clients. Engaging with users and collaborating on app design in an agile team environment.
Platform Engineer on GM’s Enterprise AI team, developing AI infrastructure and collaborating cross - functionally. Focused on high - performance systems and project initiatives in AI/ML.
Senior Engineer applying AI/ML methodologies for EV battery design at General Motors. Collaborating across engineering disciplines to enhance battery development processes.
Lead development of simulation frameworks and AI - driven knowledge management systems for General Motors. Architect multi - agent workflows and validate performance metrics in complex engineering environments.
Technical Lead for Testing Services responsible for automation testing and developing test frameworks. Collaborating with BA, developers, and users to enhance RAG GenAI applications.