RADCOM provides connected car manufacturers and mobile network operators, with a unique tool-set for analyzing and improving the connected journey experience. Radcom analyzes voice and data usage patterns for all subscribers, 24/7, flagging adverse network experiences that affect subscribers and connected vehicles. Using AI and advanced Machine Learning it correlates all the important parameters and establishes the impact of these experiences on subscribers.

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.

Responsibilities

• Design and development of high-quality big data processing engine 

• Identify and proactively address potential product risks and challenges and ensuring success

• Work closely with stakeholders to transform requirements into technical specifications

• Ensure that the code is consistent with industry coding standards and best practices

• Take a deep dive into the technical details and provide expert advice and solutions

Requirements:

• 5+ years of experience in the SW Engineering industry

• 5+ years of hands-on experience with Java development

• 3+ years of experience in Scala, Spark, Hadoop

• Experience in Spark on K8s and Airflow – a big plus

• 3+ years of experience with SQL and Non-SQL DBs

• 3+ years of proven experience of designing and building cloud application on AWS (Azure, GCP)

• Experience with Spring Framework – Advantage

• Experience with microservice architecture – Advantage

• Experience of working with DevOps and working with CI/CD practices – Advantage

• Deep understanding of Agile principles, practices and values

• Solid understanding of design patterns, software development techniques, and clean code practices

• Team player, strong communication skills, and a positive attitude

• Fast learner, self-starter, broad-minded with a “can do” approach

• Advanced English written and verbal communication skills

Education:

• Bachelor’s, BSc’s or Master’s degree in Computer Science or Engineering fields from leading academic school