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# Embedded Software Engineer

- **Company:** Nexify Infosystems LLC
- **Location:** Philadelphia, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LTE (Telecommunication), Access Network, Amazon Web Services, Amazon S3, JIRA, Bash Shell, Bug Tracking Systems, C++ (Programming Language), Code Review, Data Visualization, Linux, DevOps, Elasticsearch, Github, Python (Programming Language), Packet Analyzer, Network Protocols, Performance Tuning, SQL Databases, Wi-Fi Technology, Scripting, Grafana, Data Analytics, Splunk
- **Published:** June 29, 2026
- **Apply:** https://www.dice.com/job-detail/15540aeb-4f09-4ea4-87b8-b830450622c4

## About the Role

* Experience and strong ability in C/C++, Python, and Linux experience. You ll also have experience with log management and analysis tools such as Elastic Stack (ELK), Splunk, and Grafana for data visualisation and monitoring.
 * Proven expertise in at least one scripting language, such as Bash, Python, or Go.
 * Experience of holding a Technical Lead / Senior role or mentoring a small team of engineers. Ability to make good technical decisions and convince others about the merits and reasons for those decisions.
 * Experienced in Defect Tracking Tools such as Jira
 * SCM Tools - Git & GitHub
 * SQL and/or Amazon Athena experience.

## Description

Your daily tasks:

 * Ensure timely and high-quality software releases across diverse devices by proactively monitoring metrics and alerting systems. Promptly respond to critical field issues, identify root causes, and implement effective mitigation strategies.
 * Troubleshoot E2E issues in broadband devices in various RDK broadband components like WiFi/Mesh, DOCSIS, Fiber, LTE, or similar access network technology. Conduct source code reviews to identify root causes within the components and platform.
 * Diagnosing and resolving issues using Linux systems and networking protocols, including packet capture analysis
 * Design and enhance operational tools and architect DevOps solutions to optimize system performance and efficiency.
 * Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency.
 * Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models.


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