Broadband Triage Engineer at Aspire Technologies Inc
Pennsylvania, Pennsylvania, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

77647.13

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Triage, Engineering Process, Performance Metrics, Mitigation

Industry

Information Technology/IT

Description

JOB DESCRIPTION & SKILL REQUIREMENT:

  • What You’ll Do:
  • As a key engineer of the team, you will be responsible for leading on-time, high-quality releases across many devices.
  • You will also be responsible for the complete release quality and triage lifecycle, which includes deployment, triage, mitigation, and tool development for software release operations.
  • The position will require daily collaboration with the Development, Release, and QA teams.
  • You will assess and ensure the release quality of the RDK software with Key performance metrics as well as incidents from the field.
  • Also, identify new tools, processes, etc, necessary to improve the software release triage engineering process.
  • You will manage risks and resolve issues that affect release scope, schedule and quality.
Responsibilities
  • 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 analyze 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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