As a software engineer at Inmanta, you work with the product development team on our software products and develop features that simplify the automation of complex network and IT infrastructures.
You work on all aspects of the product except front end: backend, distributed systems, compiler, database, APIs and a varying mix of technologies. You also contribute to our DevOps processes, automated testing (CI/CD) and technical support. In addition, you collaborate with the front end and solutions teams to analyze and design product extensions and improvements.
We strive to deliver excellence and high quality through agile software development, open communication and continuous learning. We’re looking for a team player who likes to be technically challenged and isn’t afraid to express his opinion.
Inmanta empowers telecom operators and service providers to automate and streamline the end-to-end delivery of their services. Through disruptive orchestration we eliminate complexity to minimize Time to Market and Total Cost of Ownership.
Inmanta is a fast-growing software company that delivers a powerful service orchestrator for end-to-end automation of services and networks. Leading telecom and communication service providers rely on Inmanta’s service orchestrator to deliver mission-critical services, beef up their automation process, increase operational efficiency, and to guide them through their transformation journey.
We always strive for excellence in everything we do. We are committed to deliver the highest quality and to continuously improve our products and solutions.
Inmanta is a winner of the Call for Innovation by Swisscom, Telia and Proximus, and a spin-off company of the University of Leuven (Belgium), 4 times in a row most innovative university in Europe according to Reuters.
What we value
Strong software development skills, especially object-oriented programming (You already know Python? Bonus points! Our products are developed in Python.)
Knowledge of the architecture of distributed systems
Master's degree or PhD in Computer Science (or similar in experience)
Familiarity with DevOps, agile development and machine learning is a plus
What we offer
©2022 - Noyce B.V.