Cloud Platform Software Engineer
3 days ago
Job Description Hyderabad, IN / Remote About DataPelago DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for specialists to join our engineering team and shape the future of accelerated data processing. The Opportunity As a Cloud Platform Software Engineer, you will be a key individual contributor in advancing the SaaS platform for automating the multi-cloud deployment and operation of DataPelago's data processing engine. You will enhance functional breadth, performance, scale, and reliability of the SaaS platform on multiple clouds. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers. What You'll Do - Architect: Influence the architecture of how our data processing engine is deployed and op- erated as an enterprise-class service in the customer's preferred cloud environment. - Design: Lead design of functional and performance enhancements to the automation capa- bilities of the SaaS platform on different clouds. - Core Development: Individually design, implement, test, optimize, and maintain compo- nents of the SaaS platform. - Collaboration: Partner effectively with the data processing engineering team and product management in implementing SaaS platform capabilities. - Continuous Improvement: Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain highest product quality, security, efficiency, & productivity. What You'll Bring - Bachelor's degree in Computer Science or a related field with 5+ years of relevant experi- ence OR a Master's degree in Computer Science or a related field with 3+ years of relevant experience. - 3+ years of technical experience in developing microservice-based, multi-tenant, cloud-na- tive application for AWS, GCP, or Azure. - 3+ years of technical experience developing and running infrastructure-as-code for produc- tion applications. - Demonstrated experience in AWS, GCP, or Azure core services, API, permissions model. - Strong fundamentals in building scalable, highly available, secure implementations of dis- tributed, multi-tier, always-on applications. - Strong programming skills in Golang. - Strong development experience in Linux environments. - Strong analytical and problem-solving skills with a passion for performance optimization. Location Considerations: We value face-to-face collaboration, but recognize that talent can be found anywhere. Our engineering team works at our headquarters in Mountain View, CA, at our India office in Hyderabad, and at remote locations. This position will be primarily based in India, in Hyderabad (preferred) or remote. Why Join DataPelago - Technology Leadership: Shape the architecture and development of a multi-cloud service for accelerated computing. - Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform. - Growth: Expand your technical expertise and scope of responsibilities working with other talented engineers and with a growing product. - Competitive compensation, stock options, comprehensive benefits package, leadership de- velopment opportunities
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Cloud Platform Software Engineer
7 days ago
Hyderabad, Telangana, India Datapelago Full time ₹ 8,00,000 - ₹ 16,00,000 per yearCloud Platform Software EngineerHyderabad, IN / RemoteAbout DataPelago:DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray and others operate on diverse, large-scale data....
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