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About the role
Job Description: Sr. Production Support Engineer – Engineering Team Role Overview: We are seeking a skilled Sr. Production Support Engineer to join our dynamic Engineering team. The ideal candidate will take ownership of debugging day-to-day issues, identifying root causes, improving broken processes, and ensuring the smooth operation of our systems. You will work closely with cross-functional teams to analyze, debug, and enhance system performance, contributing to a more efficient and reliable infrastructure.
Key Responsibilities: Incident Debugging and Resolution: Investigate and resolve daily production issues, minimizing downtime and ensuring 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 verify data integrity. Analyze system and application logs to identify bottlenecks or failures. Scripting and Automation: Develop and maintain custom Python scripts for data exports, data 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 other stakeholders. Document findings, resolutions, and best practices to build a knowledge base.
Required Skills and Qualifications: Experience: 3–5 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.
Location: Mumbai - BKC
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