You will help advance the foundations of our Dagster+ product by evolving our Platform API and the systems that underpin it as a member of the Platform Engineering Team. The Platform Team tackles some of the most complex engineering challenges at the company, spanning a wide range of domains from CI/CD systems to database performance, deep Python internals, and infrastructure primitives.
We are looking for a Software Engineer with experience in Java development, someone who brings experience of coding, fixing, executing and versioning existing code for applications, and who is ready to think beyond and take bigger responsibilities. If you're passionate to solve real time fundamental problems, explore, learn and work on technologies out of scope, Netomi is the perfect place for you.
This role involves designing and scaling new and existing web services and ETL architecture, supporting hundreds of thousands of transactions per second. You will drive high-performance, resilient system designs in a fast-paced, data-intensive environment, improve system performance and processes, and design new features for the Manifest platform.
Develop, test, and maintain scalable backend services and APIs using Python (Django Rest Framework). Work with Django ORM to build efficient database-driven applications. Collaborate with cross-functional teams to design and implement features that enhance the Wokelo platform.
Lead and manage a diverse, distributed and an agile full-stack team supporting iterative and incremental shipping. Oversee scoping and implementation of mission critical features for our Localization & Site Discovery teams. Collaborate with cross-functional peers such as Product, Design, and Marketing to set goals and define business strategy. Drive goal-setting with your team and hold them accountable for results.
Lead and inspire a high-performing team of software engineers, taking responsibility for people management, technical execution, and cross-functional collaboration to deliver impactful features that improve how users create and manage content with AI. Foster a high-trust, inclusive, and feedback-driven engineering culture focused on learning, autonomy, and performance, ensuring reliable delivery by creating healthy team rituals, resolving blockers, and optimizing processes.