• Maintain and enhance cross-platform desktop GUI applications (Windows/Linux) • Develop and extend a Python-based API that integrates with the core application • Support user workflows in technically complex software environments (e.g., 3D CAD, CFD) • Ensure performance, stability, and usability of engineering-focused GUI tools • Maintain and operate the software build server and continuous integration pipelines • Manage release processes and versioned software distribution • Support and maintain license control systems and related backend services • Maintain AWS-based software distribution and business operations systems • Manage and configure AWS services, ensuring security, scalability, and reliability of cloud infrastructure

• Design, implement, and operate core backend components of the search system, spanning request-time services and background data pipelines • Contribute to document ingestion, crawling, and preprocessing workflows, adapting strategies based on source, domain, and freshness requirements • Build and evolve indexing and retrieval systems, including data formats, update strategies, and access patterns • Implement and improve search request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets • Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves • Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components • Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments • Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it • Collaborate closely with ML engineers to integrate semantic retrieval and ranking models, while keeping ML logic decoupled from core system internals • Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics

• Participate with other engineers in the design, implementation, and maintenance of Civitech’s applications and infrastructure. • Collaborate cross-functionally with product, research, and data science teams to develop features from participation in requirements definition through to testing and documentation. • Build scalable, secure, and high-performing features in a cloud environment. • Communicate effectively with team members and contribute to an open and inclusive engineering culture. • Grow your technical skills and contribute to effective team development practices.

• Develop and validate end-to-end algorithms for ADAS and parking functions, supporting highly automated driving • Design, implement, adapt and test software modules for: Signal processing, Environment model representation, Ego-motion estimation, Localisation and related sub-systems • Contribute as part of an international team of system and software engineers, supporting the full development lifecycle from prototype to production • Design, implement and maintain software components for: Perception, Environment modelling, Ego-motion estimation, Vehicle localisation, Situational assessment • Consider algorithmic complexity, scalability and reusability • Analyse system behaviour and performance in vehicle environments • Specify system and software component interfaces • Support system and software integration activities • Collaborate closely with project and engineering teams • Present and demonstrate results to customers and management • Adhere to internal development processes and guidelines