Accedian Networks is the leader in Performance Assured Networking™ for mobile backhaul, business ethernet services and cloud connectivity. Our solutions provide service providers and network operators visibility into their networks and this differentiating ability empowers them to optimize, improve and manage the performance of their network.

We are expanding our team and looking for a skilled software designers to build our next generation big data analytics platform that will support a variety of applications across the Accedian portfolio.

We are looking for highly motivated professionals with different levels of experience.We envision that most team members will work from our R&D center in Montreal, but we will also consider candidates who would work from home.This is a great opportunity to enter a cutting-edge project from the beginning, with virtually unlimited growth potential in the future!

JOB DESCRIPTION

The successful candidate will:

Architect, design, implement and test core components of Accedian’s next generation big data analytics platform:

Data acquisition, a high-throughput, low-latency real-time data feeds platform
Analytics Engine
Database and data models
Local cluster and cloud deployments

Passion for software development
Excellent understanding of Big Data Analytics concepts: data acquisition, processing and storage, the three V’s (Volume, Velocity, Variety), algorithmic complexity (“big-O”)
Excellent understanding of data structures (hash table, graph, tree…), object-oriented programming, design patterns, scalability, high-availability, distributed storage, distributed processing and parallel programming
Excellent understanding of virtualized compute and storage environments
Reliable, taking pride in delivering high-quality results on aggressive deadlines
Team player, quick learner and passionate at solving challenging problems

DESIRED SKILLS

Good understanding of telecommunications networks – Carrier Ethernet and IP Networks
Good understanding of open source projects relevant to this field of activity
Good understanding of data science concepts: statistics, probabilities, uncertainties, curve fitting, trends, correlations, multi-variate analysis, decision trees, neural networks, visualization

REQUIRED EXPERIENCE

Experience with Scala, Java, Python and/or C++(other languages are an asset)
Experience with Apache Kafka , Apache Spark, NoSQL & Time Series DBs and HDFS
Experience with OpenStack, KVM, VMWare, VirtualBox and/or Xen

DESIRED EXPERIENCE (OPTIONAL)

Experience with Druid, a high-performance, column-oriented, distributed data store is an asset
Experience with data analysis, data mining and/or machine learning frameworks such as Spark MLib, R, ROOT or others
Experience with applied mathematics, optimization algorithms
Experience with Agile and DevOps methodologies

All your information will be kept confidential according to EEO guidelines.

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