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The Principal Data Engineer for Geospatial Platforms will design and build scalable platforms for managing large-scale geospatial data, overseeing data ingestion, storage, and processing, while ensuring data quality and efficiency. They will collaborate with cross-functional teams and provide technical leadership to enhance data infrastructure.

The SDE-3 DevOps Engineer will design, implement, and optimize cloud infrastructure and automation solutions, enhance CI/CD processes, and ensure system reliability in a scalable, secure environment. Responsibilities include managing cloud infrastructure, containerized applications, and monitoring solutions, as well as collaborating across teams for deployments and security practices.

As a Lead Product Designer, you will lead user experience design projects by applying various research methodologies, collaborate with cross-functional teams, facilitate workshops, and manage project scope and risks to drive innovative design solutions.

As a Big Data Architect at AiDash, you will enhance and scale data pipelines for satellite imagery and enterprise data, ensuring efficient ingestion, storage, and processing to support business needs. You'll collaborate with data science and engineering teams to tackle challenges and improve data systems.

The Principal Data Engineer for Geospatial Platforms at AiDash will design, build, and optimize data pipelines and architectures for managing large-scale geospatial data. The role involves collaborating with data science teams, ensuring data quality, proposing big data solutions, and providing technical leadership to enhance data infrastructure.

The Principal Product Manager will drive product strategy, define and own the product roadmap, collaborate with design and engineering teams, and focus on delivering innovative AI/ML driven enterprise SaaS solutions aimed at enhancing utilities' operations and resilience.

Design and maintain high-quality backend components, build scalable microservices, mentor junior engineers, write unit tests and support CI pipelines, and translate requirements into features in collaboration with product teams.