AWS Python Application Support Engineer

Role Summary

We are looking for an experienced AWS Python Application Support Engineer to provide production support, troubleshooting, monitoring, incident management, and maintenance for cloud-based applications.

The ideal candidate should have strong hands-on experience with AWS, Python, PostgreSQL, Kubernetes/EKS, and Tableau , along with solid application support and troubleshooting capabilities. The role involves working closely with DevOps, CloudOps, Infrastructure, and DBA teams to ensure application availability, performance, and reliability.

Technical Skills

• AWS: RDS, S3, Lambda, CloudWatch
• Programming: Python
• Database: PostgreSQL
• Containers: Kubernetes, preferably Amazon EKS
• BI/Visualization: Tableau
• Application monitoring and production support
• CI/CD pipeline support

Key Responsibilities AWS & Cloud Support

• Monitor and manage AWS services including RDS, S3, Lambda, and related cloud components.
• Perform health checks and proactive monitoring of cloud-based applications.
• Troubleshoot deployment issues, service outages, connectivity issues, and application failures.
• Analyze AWS CloudWatch logs and alerts to identify and resolve production issues.
• Support application availability, reliability, and performance across AWS environments.

Python & Backend Support

• Debug and maintain Python-based backend services and applications.
• Write Python scripts for automation, data processing, monitoring, and operational tasks.
• Troubleshoot functional issues and perform detailed root-cause analysis.
• Handle exception analysis and improve application error handling.
• Support application enhancements and production fixes as required.

PostgreSQL

• Perform query optimization and performance tuning.
• Troubleshoot database-related application issues.
• Manage database schemas and support schema changes and data migrations.
• Perform and support backup and restore procedures.
• Collaborate with DBA teams for complex database issues and performance bottlenecks.

Kubernetes / EKS

• Manage Kubernetes pods, deployments, and services.
• Support application deployments and configuration changes.
• Handle scaling, rolling updates, and deployment rollbacks.
• Diagnose container failures, pod crashes, resource bottlenecks, and service availability issues.
• Monitor Kubernetes workloads and troubleshoot application/container-level issues.
• Amazon EKS experience is preferred.

Tableau

• Maintain and support Tableau dashboards and reports.
• Troubleshoot data-source connectivity and refresh issues.
• Perform dashboard performance tuning.
• Investigate and resolve reporting/data-related issues.

Application Support Responsibilities

• Manage incidents and service requests within defined SLAs.
• Perform Root Cause Analysis (RCA) for recurring and critical production issues.
• Prepare post-mortem documentation and corrective/preventive action plans.
• Perform application and server monitoring.
• Analyze logs and respond to alerts.
• Conduct proactive health checks and identify potential issues before they impact users.
• Troubleshoot user access and authentication issues.
• Support CI/CD pipelines and deployment processes.
• Assist with rollback procedures during failed deployments.
• Coordinate with DevOps and CloudOps teams for infrastructure and deployment issues.
• Collaborate with Infrastructure and DBA teams for cross-platform troubleshooting.
• Maintain application support documentation, runbooks, and troubleshooting procedures.

Must-Have Skills

• Strong experience in AWS application/production support.
• Hands-on experience with Python scripting and debugging.
• Experience with AWS RDS, S3, Lambda, and CloudWatch.
• Strong PostgreSQL knowledge.
• Experience with Kubernetes, preferably Amazon EKS.
• Experience in production incident management and troubleshooting.
• Strong RCA and debugging skills.
• Experience with application monitoring and log analysis.
• Knowledge of CI/CD and deployment/rollback processes.
• Good understanding of backup, restore, schema changes, and data migration.
• Strong communication and coordination skills.

Skills: python,postgresql,aws,kubernetes