Spectrum Effect

ML-driven RF interference mitigation platform

Senior Python Backend Engineer - Multiple Teams

Backend EngineeringPosted on Nov 12

Full-timeSan Pedro Garza García, Nuevo Leon, Mexico

About the Job

Requirements

Five or more years of professional Python software engineering experience.
A solid understanding of REST APIs and microservice architectures.
Experience with Docker; Kubernetes is ideally expected.
Linux troubleshooting experience.
Experience with NoSQL databases.
Experience with Celery.
Experience with distributed applications and message brokers such as Kafka.
Familiarity with Agile working methods.
Excellent communication and problem-solving skills.

Responsibilities

Design, build, document, and maintain scalable Python microservices in the cloud.
Review code and provide feedback to help deliver high-quality, high-performance software to production.
Mentor other engineers and review their contributions.
Work with architects on decisions about languages, databases, delivery, and solution architecture.
Collaborate with other teams to gather feedback and improve delivered software.

Desired Qualifications

Experience with Flask or FastAPI.
Production experience with MongoDB or InfluxDB.
Experience working with large volumes of data, ideally time-series data.
Experience with Apache NiFi and Pandas.
Experience with self-hosted Kubernetes in production.
Shell scripting to automate recurring tasks.
Strong debugging and profiling skills.

Job Description

As a Software Engineer at Spectrum Effect, you will build the Python microservices behind Spectrum-NET, a cloud-native, ML-driven platform that analyzes radio access networks for mobile operators worldwide. You will design scalable backend services, work with large volumes of time-series data, and help raise the engineering bar through code reviews and mentoring.

What you will do

Design, build, document and maintain scalable Python microservices in the cloud.
Review code and give feedback so high-quality, high-performance software reaches production.
Mentor other engineers and review their contributions.
Work with architects on decisions about languages, databases, delivery and solution architecture.
Collaborate with other teams to gather feedback and improve what you ship.

Qualifications

What you need

5+ years of professional Python software engineering experience.
Solid understanding of REST APIs and microservice architectures.
Docker and, ideally, Kubernetes.
Linux troubleshooting experience.
NoSQL databases.
Celery.
Distributed applications and message brokers such as Kafka.
Agile working methods.
Excellent communication and problem-solving skills.

Nice to have

Flask or FastAPI.
MongoDB or InfluxDB in production.
Large-volume data work, ideally time series.
Apache NiFi and Pandas.
Self-hosted Kubernetes in production.
Shell scripting to automate recurring tasks.
Strong debugging and profiling skills.

Additional Information

Why Join Us

Dynamic Team: Collaborate with passionate experts driving real innovation in the telecom space 
Career Growth: Work on high-impact problems with real ownership and visibility 
Meaningful Work: Help shape the next generation of ML-driven network analytics 
Attractive Benefits: Competitive salary, stock options, and a flexible work environment

Do you have the technical chops and product sense to help shape the future of wireless automation? Apply now—your next big opportunity starts here. 

About the Company

Spectrum Effect

ML-driven RF interference mitigation platform

Spectrum Effect provides a software platform that helps wireless carriers automatically analyze and mitigate RF interference in 5G NR, LTE, and UMTS networks. Its product, Spectrum-NET, uses machine learning to process data from across equipment and vendors to identify interference sources such as faulty radio gear, cross-border signals, and other RAN issues. The system guides operators on how to fix problems, improving metrics like user throughput and connection reliability while reducing churn. Spectrum Effect differentiates itself with an ML-driven, multi-vendor analytics approach backed by 30 patents and a track record of reducing analysis time (about 75%) and boosting capacity for operators such as Telkomsel. The company’s goal is to lower operators’ operating expenses and optimize capital expenditure by automating complex network analysis and interference mitigation across global mobile networks.

Company size: 51-200
Company stage: Early VC
Total funding: $17.1M
Headquarters: Kirkland, WA
Founded: 2015

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