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Senior Software Engineer (Data Infrastructure)
Applied Intuition · Sunnyvale, United States
About The Role
Join Applied Intuition as a Senior Software Engineer (Data Infrastructure) and work across the entire data lifecycle. You will design and develop both external and internal products, handle massive volumes of data, and scale infrastructure to support all deployment types. You will also build features to tune processing pipelines, enable product workflows, and develop high-quality software using modern tooling and frameworks. Benefits include health insurance, a fitness stipend, 401(k) match, a learning stipend, parental leave, and catered meals.
- Conception et développement de produits internes et externes, en collaboration avec toutes les unités commerciales.
- Gestion de volumes massifs de données pour répondre aux besoins de la plateforme d'Applied Intuition.
- Responsabilité technique et décisionnelle sur les aspects techniques et produits, en interaction avec les utilisateurs.
- 3+ years of professional experience
- We are looking for infrastructure engineers with expertise in scaling open-source data infrastructure to join the Data & ML infra group
- Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
- Experience with large-scale open source data technologies (Spark, Kafka, Hudi, Flyte, etc.)
- Experience with containerization and other modern software development workflows
- A Bachelor's degree in Computer Science, Software Engineering, or equivalent
- Experience with other open-source data technologies not listed above
- Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
- Expertise with Kubernetes
- Expertise with modern programming languages (Python, C++, GoLang, Scala, etc.)
- Deep knowledge of data quality, data profiling and cleansing techniques
- Experience with enterprise software, including on-prem and/or cloud environments
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