Senior Quality Assurance Software Developer – Analytics

Ribbon Communications•Montreal, QC

1d•CA$80,000 - CA$110,000•Hybrid

About The Position

Ribbon Communications is looking for a quality assurance software developer to assist in the test coverage of features on Ribbon Analytics. Ribbon Analytics is a big data Network Analytics and Security product that collects, processes and reacts to massive amounts of data collected from the network, leveraging Machine Learning and other techniques to analyze trends and outliers in the data and take action to mitigate security threats, fraud etc. in a customer’s network. The position will be within the Ribbon Technology and Solutions development team, working on the latest technologies in the Big Data and Analytics field using contemporary data visualization and UI frameworks as a front end to the latest Big Data platform engines such as Kubernetes/Docker, Hadoop, and Angular within a virtualized, micro-services application architecture.

Requirements

Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, ideally with specialization in Data Engineering or Machine Learning
3–10 years of experience in software testing and QA engineering
Proficiency in automation scripting using Perl or Python
Hands-on experience with Kubernetes platforms
Solid understanding of test planning, execution, and automation strategies
Practical experience in Jenkins pipeline creation and management
Familiarity with CI/CD pipelines and DevOps practices
Strong analytical, problem-solving, and communication skills

Nice To Haves

Experience with micro service architecture (Kubernetes, Containers, REST API)
Deep knowledge of Python, advanced SQL, database technologies
Experience in Java, Go
Experience with Deep Learning platforms
Experienced in engineering data pipelines using big data technologies (Impala, Presto, Spark, Flink) on medium to large scale data sets

Responsibilities

Design, develop, and execute test plans for complex distributed systems
Build and maintain automation frameworks using Python or Perl
Collaborate with DevOps teams to validate deployments on Kubernetes platforms
Develop and manage Jenkins pipelines for automated testing and continuous integration
Identify, document, and track defects, ensuring timely resolution
Perform scalability and reliability testing for large-scale data systems
Continuously improve testing processes by adopting new tools and methodologies
Provide detailed reports and metrics to stakeholders on test coverage, performance, and quality
Conduct database performance testing for PostgreSQL and Hadoop clusters
Provide guidance to junior quality assurance software developers