This position offers a unique opportunity to lead engineering efforts at scale, tackling complex technical challenges. The successful candidate will own the engineering roadmap across all products, making architectural decisions related to distributed data processing, machine learning pipelines, and modern web systems. These systems need to efficiently manage massive datasets for enterprise-level clients. The organization is known for its innovation and excellence, especially in GenAI data work, and is at the forefront of integrating large-scale distributed systems with cutting-edge search and machine learning technology.
The role involves executing the engineering roadmap, making critical architectural decisions, and ensuring systems scale to accommodate massive datasets and evolving machine learning workloads. Responsibilities include championing best practices in testing, observability, incident response, and documentation, as well as setting standards for AI-assisted development practices. Candidates should have experience leading multi-disciplinary teams, including Backend, Web, Data Engineering, Data Science, QA, and DevOps. A solid understanding of deploying and maintaining machine learning models in production and familiarity with the machine learning lifecycle and GenAI tools is required.
The position offers a competitive salary based on experience, along with additional benefits. Interested candidates are encouraged to express their interest and apply through the application link provided in the job posting. The client values innovation and technical excellence, presenting a fantastic opportunity for qualified professionals to advance their careers in a dynamic and forward-thinking environment.