Release Triage Engineer

• As a key engineer on the RDK Global Triage Team, you will play a critical role in delivering on‑time, high‑quality software releases across a large and diverse device ecosystem. You will own the end‑to‑end release quality and triage lifecycle, including deployment validation, issue triage, mitigation, and development of tools to support software release operations. 

Required Skills & Experience: 

• Strong hands‑on experience with C/C++, Python, and Linux in production environments.
• Experience with log management, monitoring, and analytics tools such as Elastic Stack (ELK), Splunk, and Grafana.
• Proficiency in at least one scripting language such as Bash, Python, or Go.
• Experience working in a Senior Engineer or Technical Lead capacity, including mentoring junior engineers and influencing technical decisions.
• Strong experience with defect tracking tools (e.g., Jira).
• Proficiency with source control management tools such as Git and GitHub.
• Working knowledge of SQL and/or Amazon Athena for data analysis.

Key Responsibilities: 

• Ensure timely and high‑quality software releases across multiple device types by proactively monitoring operational metrics and alerting systems.
• Respond rapidly to critical field issues, perform root‑cause analysis, and implement effective mitigation strategies.
• Troubleshoot end‑to‑end issues across broadband devices and RDK components, including WiFi/Mesh, DOCSIS, Fiber, LTE, and similar access technologies.
• Perform source code reviews to identify defects and root causes within platform components.
• Diagnose and resolve complex issues using Linux systems, networking protocols, and packet capture analysis.
• Design, enhance, and maintain operational and triage tools, and architect DevOps solutions to improve system performance and operational efficiency.
• Leverage AWS services (S3, Athena, QuickSight) to analyze data from millions of deployed field devices and generate actionable insights.
• Develop and apply anomaly detection and data‑driven techniques to proactively identify system issues, including global metric comparisons across device models

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