S'INSCRIRE
Retour aux emplois
XX
Senior Software Engineering - Machine LearningSpectrum Effect • United States
Postuler Maintenant
XX

Senior Software Engineering - Machine Learning

Spectrum Effect
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

Spectrum Effect’s mission is to solve the most challenging and costly problems in the wireless industry through innovation and AI-powered automation. Our team is passionate about creating disruptive technologies, developing solutions with engineering excellence, and delivering substantial value to our customers. Deployed by leading mobile operators across the globe, our Spectrum-NET software solution performs automated AI-driven analysis of radio access networks. Spectrum-NET is a cloud-native, horizontally scalable solution based on a Kubernetes-orchestrated microservices architecture. and Monterrey (Mexico), with team members enjoying ownership in our private company through stock options and competitive salaries. This is an amazing opportunity to join an emerging leader in the AI automation space and make a real impact on the mobile industry.
As a Software Engineer at Spectrum Effect, you will design and develop cutting-edge software components, leveraging a modern software stack within a fast-paced, microservices-oriented architecture. Utilizing tools such as Python, Java, and Kubernetes, you will address complex challenges and contribute to sophisticated systems. Design, implement, document, and maintain low latency, near-real-time scalable micro-service applications running in a cloud environment. • Conduct code reviews and provide feedback to ensure high-performance, top-quality software reaches production. • Collaborate with other teams to collect feedback and continuously improve the quality of your software deliverables. • Collaborate with architects to make technical decisions regarding database schemas, delivery, and solution architecture. 5+ years of professional software engineering experience with Python. • Implementation experience with numpy, Pandas, or other array processing libraries. • Experience with containerized software applications – Docker and (ideally) Kubernetes. • Experience troubleshooting in Linux environments. • Experience with NoSQL databases. • Experience with distributed applications and message brokers like Kafka. • Experience working with agile methodologies. Experience working with large volumes of data. Ideally timeseries data. • Experience with minimalistic Python web frameworks, like Flask or FastAPI. • Production experience with NoSQL databases, like MongoDB or InfluxDB. • Meaningful Work:
Help shape the next generation of ML-driven network analytics ·
Attractive Benefits:
Competitive salary, stock options, and a flexible work environment
This is a hybrid position. Do you have the technical chops and product sense to help shape the future of wireless automation?
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.

Postuler Maintenant