Software Engineer responsible for full ownership of data platform initiatives at Motive. Involved in data management, ingestion, processing, and storage systems.
Responsibilities
Design and develop scalable distributed systems and frameworks for data management
Focus on addressing fault-tolerance and high availability issues, and work on scaling ingestion pipelines, improving and adding features to ETL framework while maintaining SLAs on performance, reliability, and system availability.
Collaborate with engineers across teams to identify and deliver cross-functional features
Participate in all aspects of the software development life cycle, from design to implementation and delivery.
Requirements
3+ years Hands-on software engineering experience
Backend programming skills including multi-threading, concurrency, etc and proficient in one or more of Python
Strong CS fundamentals including data structures, algorithms, and distributed systems
Experience in designing, implementing, and operating highly scalable software systems and services
Experience building systems using technologies like Apache Kafka, Apache Spark, Airflow, Kubernetes
Experience with service-oriented architectures
Excellent troubleshooting skills and track record of implementing creative solutions
Hands on experience with containerized platforms like Docker and Kubernetes
BS in Computer Science or a related field; Masters preferred
Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.
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