Job Description
Overview
We are seeking a Senior Backend Software Engineer to support a foundational and mission‑critical product. Product ensures network reliability by monitoring modem activity, processing continuous livestream device data, and helping identify service quality issues down to the individual device, street, or neighborhood level.
This is a highly technical, hands‑on engineering role focused on maintenance, enhancements, tech‑debt reduction, and debugging within a mature product ecosystem. The team operates with a lightweight agile process including daily stand-ups and standard scrum ceremonies.
Day-to-Day & Key Responsibilities
Support and enhance product, a core reliability platform that processes real-time connectivity data across the customer network.
Execute ongoing maintenance, debugging, tech-debt reduction, and a backlog of small enhancements and required service upgrades.
Develop and maintain Python‑based data processing pipelines that handle continuous streaming data from millions of devices.
Work extensively with Kafka queues and streaming patterns to support event-driven processing.
Build and support serverless components using AWS Lambda and deploy/maintain workloads in Kubernetes environments.
Interpret device pings and connectivity signals to determine service quality across locations from single homes to entire neighborhoods.
Perform updates in non‑production environments and support release progression through the team's agile workflow.
Collaborate with a distributed team across the U.S. and Latin America within a lightweight agile structure.
Participate in daily 9 AM EST stand-ups and work standard EST business hours.
Compensation:
$45/hr to $55/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Expert-level Python (most critical skill)
Kafka (queues, real-time streaming, consumers/producers)
Data processing & real‑time data pipeline experience
AWS Lambda
Kubernetes
Strong troubleshooting and debugging abilities
Ability to thrive in a fast-paced environment
Strong attention to detail
Flexibility and adaptability to shifting priorities
Nice to Have Skills & Experience
Experience with Opensearch or Elasticsearch
Telecom industry experience
Familiarity supporting large, mature, high‑reliability systems
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.