DevSecOps Software Defined Vehicle (SDV)

We are seeking a highly skilled and experienced Software Defined Vehicle (SDV) Consultant to support our IT team in developing and maintaining a toolchain that enables efficient and secure vehicle software development. The ideal candidate will possess a strong background in software engineering, DevOps, cybersecurity, and automotive systems, with a strong understanding of vehicle architecture and industry standards. Key Responsibilities: Collaborate with IT and engineering teams to design, implement, and maintain a toolchain for vehicle software development. Support and maintain on-premise server infrastructure critical to development environments. Develop and optimize CI/CD pipelines to streamline software integration and deployment. Ensure compliance with DevSecOps principles, integrating cybersecurity best practices into the development lifecycle. Create and maintain architecture diagrams for IT applications and integration layers. Provide technical guidance on operating systems used in embedded environments. Support development efforts related to integrated controls and functional safety systems. Facilitate Agile development practices and contribute to sprint planning and execution. Support the design and implementation of OTA (Over-the-Air) infrastructure for vehicle software updates. Ensure alignment with industry standards such as ASPICE and ISO 26262 (ASIL-B). Collaborate with cross-functional teams to understand vehicle architecture and integrated systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. Proven experience with on-prem server maintenance and infrastructure support. Strong background in software development, CI/CD, and DevOps methodologies. Familiarity with integrated controls and functional safety concepts. Proficient in operating systems including Ubuntu, Linux, Windows, and RTOS. Experience with DevSecOps and cybersecurity practices in software development. Hands-on experience with containerized platforms, preferably Docker. Ability to design and interpret architecture diagrams for complex IT systems. Understanding of vehicle architecture and integrated automotive systems. Knowledge of Agile development frameworks (Scrum, Kanban). Awareness of OTA infrastructure and deployment strategies. Familiarity with automotive industry standards such as ASPICE and ASIL-B. Preferred Skills: Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments. Knowledge of container orchestration technologies (e.g., Docker). Awareness of automotive communication protocols (CAN, LIN, Ethernet) and Electrical Control Units (ECUs) Strong analytical and problem-solving skills. Excellent communication and collaboration abilities.