5-7 years of experience in software development with a focus on C/C++ and Python.
Strong proficiency in Linux systems and networking protocols.
Experience with log management tools like Elastic Stack (ELK), Splunk, and Grafana.
Proven ability to lead technical teams and mentor junior engineers.
Familiarity with defect tracking tools such as Jira and version control systems like Git and GitHub.
Experience with SQL and data analysis using Amazon Athena.
Responsibilities
Monitor software release metrics and alert systems to ensure quality and timeliness.
Troubleshoot end-to-end issues in broadband devices across various technologies.
Conduct source code reviews to identify and resolve root causes of issues.
Design and enhance operational tools to improve system performance.
Utilize AWS technologies to analyze data from millions of devices for operational insights.
Develop anomaly detection techniques to proactively address system issues.
Perform global metric comparisons across different device models.
Benefits
Flexible work environment with opportunities for remote work.
Access to continuous learning and professional development resources.
Collaborative team culture that encourages innovation and creativity.
Health and wellness programs to support employee well-being.
Full Job Description
Overview:
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.
What You'll Bring:
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.
