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Full Stack Engineer
Location:
US-NY-New York
Jobcode:
e058a21db41959293991b359525f561f-122020
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Full Stack Engineer, New York



Base: $130,000 - $200,000




Company Overview:



Spoken conversations - not email, not slack, not powerpoint presentations - contain the most valuable data in organizations. And while digital transformation is the largest force of change in every industry, almost all spoken conversations happen outside of that revolution. The business is a platform built to capture and unlock the power and insight in every company’s conversations.

 



The business is an early stage startup focused on building tools that enable teams to collaboratively record their conversations and capture notes, documents, and other data. We are actively seeking a Full-Stack Engineer who will be responsible for implementing key features across our platform, including REST API development, front-end and mobile development, and real-time/batch-level analysis.




What you will be doing:

 

  • Work closely with other engineers to architect, implement, and rollout new features

  • Work directly with leadership and other team members to ensure that engineering goals align with overall company goals

  • Develop real-time, stream-based audio analysis pipelines to extract insight from conversations

  • Deploy new releases on our Kubernetes infrastructure

  • Ensure high security standards and best practices




What you should have:

 

  • At least three years of software development experience, using a JVM-based language, such as Java, Kotlin, Scala

  • Experience working on large projects using ECMAScript 2015+ or Typescript and React/Redux

  • Strong familiarity with debugging, profiling, and test-driven development

  • Experience with SQL, ORMs, and data modeling

  • Solid understanding of object-oriented and functional programming concepts

  • Familiarity building and testing asynchronous, distributed, fault-tolerant code




Even better if you have:

 

  • Experience using Docker and/or Kubernetes

  • Familiarity with Kafka, Kinesis, and stream-based analysis

  • Experience developing and architecting distributed streaming or batch platforms, using tools such as Spark, DataProc, or Flink

  • Experience using React Native, Swift, and Android/Java

  • Familiarity with Web-RTC and media streaming technologies

  • Experience developing for cloud platforms, such as AWS or Google Cloud

  • Familiarity with CI/CD

  • Familiarity with XMPP and Data-Channel

  • Familiarity with web technologies, such as HTTP, CSS3, HTML5


Amber People

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