You will take ownership of product features end-to-end, including building scalable systems and designing intuitive interfaces. You will work cross-functionally with Product, Design, and Data Science teams to deliver impactful solutions for global customers.
You will be responsible for building reliable, scalable, and automated cloud infrastructure while applying engineering principles to operational challenges. The role involves leveraging AI-assisted tools to improve productivity, troubleshoot issues, and deliver robust technical solutions.
You will build the next generation of AI-powered capabilities within a mature software platform by integrating LLMs and scalable product features. The role involves working across a Ruby on Rails backend and React frontend while leading the adoption of modern AI development practices.
You will act as a bridge between business stakeholders and engineering teams to translate complex needs into clear technical requirements. Additionally, you will engage in hands-on software development, building internal applications and AI-driven solutions.
Develop and maintain automated test scripts for web applications while collaborating with cross-functional teams to implement integration tests. Participate in the design of QA processes and convert business requirements into technical acceptance criteria and test plans.
Design, scale, and own data platforms for a private-market intelligence product. Build reliable batch and streaming pipelines while improving data quality, governance, and technical standards.
Design and implement scalable ETL processes and own the technical architecture of the data platform. Build backend components to ensure stable data operations and convert business needs into technical deliverables.
Design and implement scalable ETL processes and own the technical architecture of the data platform. Collaborate with stakeholders to build backend components and convert business needs into concrete deliverables.
