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IBM

Site Reliability Engineer

IBM, San Jose

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Your Role And Responsibilities
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.
Your Role And Responsibilities
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.
Required Technical And Professional Expertise
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.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    IT Services and IT Consulting

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