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Title:  Distinguished Engineer


Good experience in full stack development, with focus on IoT & Cloud integration, with experience in MQTT protocol, IoT Core integration

Required skill set:

Hands on experience in

Node.js, Java, Dockers, Kubernetes, implementing Webservices both SOAP and RESTful using REST API,

Experience using Python, Mongo DB

Job Description

As a staff software engineer you will work with our Cloud Platform team designing and developing device IoT services, and REST APIs that support our wireless ecosystem of products. The ideal candidate has strong dev-ops experience and has worked with cloud deployment models and test-driven development in a fast-paced agile environment.

Key Responsibilities:

Design and develop back-end microservices and REST APIs for connected devices, web applications, and mobile applications

- Collaborate with front-end and mobile app development teams on user-facing features and services

- Work with platform architects on software and system optimizations, helping to identify and remove potential performance bottlenecks

- Focus on innovating new and better ways to create solutions that add value and amaze the end user, with a penchant for simple elegant design in every aspect from data structures to code to UI and systems architecture

- Stay up to date on relevant technologies, plug into user groups, understand trends and opportunities that ensure we are using the best techniques and tools

- Work with other software leads on developing continuous integration (CI) pipeline and unit test automation

- Document the work you do, especially APIs that you create


-Expert knowledge of dynamic server coding environments such as Python, PHP, Ruby, or Node.js

- Hands on experience using and developing REST APIs

- Working knowledge of HTTP, HTML5, CSS, JavaScript, AJAX, JSON, WebSockets

- Working knowledge of NoSQL database systems (Mongo, Cassandra, HBase, BigTable, Redis)

- Production experience creating a NoSQL schema and managing scaled access to a NoSQL data store

- Messaging systems (RabbitMQ, MQTT, ZeroMQ)

- Docker & Kubernetes

- OAuth, OAuth2 and OpenID

- Cloud-based distributed application scaling & data processing in the cloud

- Agile / Scrum methodology

Highly desirable but not required skills include:

- Experience with cloud computing APIs (Amazon Web Services preferred)

- Knowledge of configuration management systems such as Puppet or Chef

- Experience with Hadoop ecosystem tools such as Spark, MapReduce or other Big Data platforms

- Mobile application development a plus


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