Sr. Production Support Engineer

As a skilled Sr. Production Support Engineer in the Engineering team at Yubi, you will play a crucial role in ensuring the smooth operation of systems by debugging day-to-day issues, identifying root causes, and improving broken processes. Your collaborative efforts with cross-functional teams will contribute to enhancing system performance and reliability. - Incident Debugging and Resolution: - Investigate and resolve daily production issues to minimize downtime and ensure stability. - Perform root cause analysis and implement solutions to prevent recurring issues. - Data Analysis and Query Writing: - Write and optimize custom queries for MySQL, Postgres, MongoDB, Redshift, or other data systems to debug processes and ensure data integrity. - Analyze system and application logs to identify bottlenecks or failures. - Scripting and Automation: - Develop and maintain custom Python scripts for data exports, transformation, and debugging. - Create automated solutions to address inefficiencies in broken processes. - Process Improvement: - Collaborate with engineering and operations teams to enhance system performance and reliability. - Proactively identify and implement process improvements to optimize workflows. - Collaboration: - Act as the first point of contact for production issues, working closely with developers, QA teams, and stakeholders. - Document findings, resolutions, and best practices to build a knowledge base. Qualifications Required: - Experience: 35 years of hands-on experience in debugging, Python scripting, and production support in a technical environment. - Technical Proficiency: - Strong experience with Python for scripting and automation with Pandas. - Proficient in writing and optimizing queries for MySQL, Postgres, MongoDB, Redshift, or similar databases. - Familiarity with ETL pipelines, APIs, or data integration tools is a plus. - Problem-Solving: Exceptional analytical and troubleshooting skills to quickly diagnose and resolve production issues. - Process Improvement: Ability to identify inefficiencies and implement practical solutions to enhance system reliability and workflows. - Communication: Excellent verbal and written communication skills for cross-functional collaboration and documentation. Nice-to-Have Skills: - Exposure to tools like Airflow, Pandas, or NumPy for data manipulation and debugging. - Familiarity with production monitoring tools like New Relic or Datadog. - Experience with cloud platforms such as AWS, GCP, or Azure. - Basic knowledge of CI/CD pipelines for deployment support. As a skilled Sr. Production Support Engineer in the Engineering team at Yubi, you will play a crucial role in ensuring the smooth operation of systems by debugging day-to-day issues, identifying root causes, and improving broken processes. Your collaborative efforts with cross-functional teams will contribute to enhancing system performance and reliability. - Incident Debugging and Resolution: - Investigate and resolve daily production issues to minimize downtime and ensure stability. - Perform root cause analysis and implement solutions to prevent recurring issues. - Data Analysis and Query Writing: - Write and optimize custom queries for MySQL, Postgres, MongoDB, Redshift, or other data systems to debug processes and ensure data integrity. - Analyze system and application logs to identify bottlenecks or failures. - Scripting and Automation: - Develop and maintain custom Python scripts for data exports, transformation, and debugging. - Create automated solutions to address inefficiencies in broken processes. - Process Improvement: - Collaborate with engineering and operations teams to enhance system performance and reliability. - Proactively identify and implement process improvements to optimize workflows. - Collaboration: - Act as the first point of contact for production issues, working closely with developers, QA teams, and stakeholders. - Document findings, resolutions, and best practices to build a knowledge base. Qualifications Required: - Experience: 35 years of hands-on experience in debugging, Python scripting, and production support in a technical environment. - Technical Proficiency: - Strong experience with Python for scripting and automation with Pandas. - Proficient in writing and optimizing queries for MySQL, Postgres, MongoDB, Redshift, or similar databases. - Familiarity with ETL pipelines, APIs, or data integration tools is a plus. - Problem-Solving: Exceptional analytical and troubleshooting skills to quickly diagnose and resolve production issues. - Process Improvement: Ability to identify inefficiencies and implement practical solutions to enhance system reliability and workflows. - Communication: Excellent verbal and written communication skills for cross-functional collaboration and documentation. Nice-to-Have Skills: - Exposure to tools like Airflow, Pandas, or NumPy for data manipulation and debu