JOB TITLE Senior Quality Assurance Software Developer – Ribbon Analytics
Ribbon Communications is a global leader in secure cloud communications software solutions, IP and optical networking solutions, and cloud-to-edge communications. We serve a diverse range of customers, including service providers, enterprises, governments, and critical infrastructure providers. Our innovative solutions are designed to modernize networks, enhance competitive positioning, and improve business outcomes in today's data-driven world.
At Ribbon, we are committed to fostering a culture of diversity, equality, and inclusion. Our team works collaboratively across functions and geographies. We pride ourselves on our passion for innovation, our dedication to customer satisfaction, and our commitment to social and environmental responsibility. Join us to be part of a dynamic team that values creativity, collaboration, and continuous learning
OPPORTUNITY
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.
Responsibilities:
Design, develop, and execute test plans for complex distributed systems
Build and maintain automation frameworks using Python or Perl
Collaborate with Dev Ops 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
Required Qualifications:
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 Dev Ops practices
Strong analytical, problem-solving, and communication skills
Fluency in both French and English (spoken and written) is required. The successful candidate must be able to effectively communicate, collaborate, and document technical information in both languages with customers, partners, and cross-functional teams.
Assets:
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
Work…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).