This role offers a unique opportunity to head engineering efforts, managing the technical roadmap for diverse products while tackling complex challenges. The position involves leading architectural decisions regarding distributed data processing, machine learning pipelines, and modern web systems, with the goal of supporting massive datasets for enterprise clients. Your input will be instrumental in ensuring that the systems efficiently scale to meet dynamic workload demands and maintain stability.
The client is a company known for its innovative approach and technical expertise, particularly in cutting-edge data solutions involving large-scale distributed systems, machine learning, and evolving search technologies. This role will require implementing best practices in testing, observability, incident response, and documentation. Additionally, you will set standards for AI-assisted development practices to enhance efficiency across varied teams.
Essential qualifications for this role include experience in leading multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps. Familiarity with the machine learning lifecycle, including feature stores, model deployment platforms, and pipeline orchestration, is crucial. Experience with advanced generative AI tools such as ChatGPT and Gemini is preferred. The position offers a competitive salary along with additional benefits, and further details will be provided during the application process.