W2 AcceptableSenior Software Engineer (Network Back-end, Voice)Location:

San Francisco, CA - 95% Remote, will be onsite 1-2 times per monthJob ID:

14697015About the job:Design, develop, test, deploy, maintain and improve softwareProviding solutions that are simple, maintainable, and well abstractedImplement proof-of-concepts with new technologiesManage individual projects priorities, deadlines and deliverables with your technical expertiseMentor and train other team members on design techniques, and coding standardsGreat & methodical in troubleshooting & problem solvingPhenomenal at profiling & optimization of codeAbout You:You have 5-8 years of experience building distributed and scalable softwareYou have built software using Go (Golang) or similar languages and are familiar with NLU/NLPExperience in Voice features is a plusYou have proven understanding of service-oriented architecture and familiarity with microservices architectureYou have knowledge of different data storage technologies like Cassandra, DynamoDB etc.You understand virtualization technologies Docker and KubernetesYou have a deep understanding of public cloud design like AWS or GCEYou have proven success in partnering with key stakeholders in previous rolesCommunication is your strong suit: in code, in email, and face-to-faceNotes:The candidate may need to travel to the San Francisco office once or twice a month.Key Requirements:At least one year of experience with Golang is helpful but strong 5 years of experience in Java will workExperience in server engineering and working with REST APIs is needed. No UI or front-end experience is necessaryGolang is not mandatory but is a good skill to have. The role will mostly focus on Java programmingKnowledge of NLP or NLU is a plus and experience with WebSockets and gRPC is a plusExperience with audio processing and machine learning would be greatThe candidate must be a good fit both technically and culturally for the teamThe team works on audio processing within PlayStationExperience with Aerospike or MongoDB is idealAWS cloud experience is preferred

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