Site Reliability Engineer, IBM Corporation, San Jose, CA:
- Ensure the reliability, scalability, and performance of the data analysis product.
- Design, develop, and optimize scalable data collection and visualization pipelines to enable efficient analysis and insights.
- Build and refine advanced forecasting and anomaly detection models to drive data-driven decision-making and improve system performance.
- Design and implement real-time dashboards using React and Node.js to provide critical performance insights.
- Respond to and manage incidents as part of an on-call rotation, troubleshoot system issues, and implement resolutions to enhance reliability.
- Automate infrastructure provisioning, configuration, and deployment through scripting and CI/CD pipelines, while establishing robust monitoring and alerting systems to proactively address anomalies.
- Employ Infrastructure as Code (IaC) principles to provision and maintain servers, databases, networking, and cloud resources, while planning for capacity and scalability to meet growing demands.
- Ensure security and compliance by implementing best practices, managing updates, and participating in audits.
- Collaborate with software developers, data analysts, and other stakeholders to optimize system performance, while maintaining accurate documentation and creating runbooks for operational excellence.
- Drive continuous learning and innovation by identifying opportunities for optimization, leveraging emerging technologies, and implementing solutions to improve system reliability and efficiency.
- Utilize: Data Analytics, Python, PL/SQL, Data Warehousing, ETL (Extract, Transform and Load), GIT, NumPy, Pandas, Scikit-learn.
Required: Master’s degree or equivalent in Computer Science, Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Software Developer or related. One (1) year of experience must include utilizing Data Analytics, Python, PL/SQL, Data Warehousing, ETL (Extract, Transform and Load), GIT, NumPy, Pandas, Scikit-learn. $226158 to $267100 per year. Full time. AV161.
Master’s degree or equivalent in Computer Science, Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Software Developer or related. One (1) year of experience must include utilizing Data Analytics, Python, PL/SQL, Data Warehousing, ETL (Extract, Transform and Load), GIT, NumPy, Pandas, Scikit-learn.