TAS Tower Lead

Must Have Technical/Functional Skills

• Python
• R
• Alteryx
• SQL/PLSQL
• AWS S3, SNS, ECR
• Airflow
• Kubernetes
• Harness
• production support
• RCA
• preventive fixes
• BAU and enhancements

Roles & Responsibilities

We are seeking an experienced L3 Production Support Engineer to provide advanced technical and operational support for business-critical data and analytics applications. The candidate should have strong hands-on experience with Python, R, Alteryx, SQL/PLSQL, AWS, Airflow, Kubernetes, and Harness, along with proven expertise in production incident resolution, root cause analysis, preventive fixes, BAU support, and application enhancements.

• Provide L3 production support for critical data, analytics, and application platforms, ensuring system availability, stability, and performance.
• Investigate and resolve complex production incidents involving applications, data pipelines, database procedures, infrastructure components, and system integrations.
• Develop, troubleshoot, and optimize applications, automation scripts, and analytical workflows using Python and R.
• Design, maintain, monitor, and support data preparation and analytics workflows developed using Alteryx.
• Write and optimize complex SQL and PL/SQL queries, stored procedures, functions, packages, and scripts for production troubleshooting and data validation.
• Support application data storage, file processing, archival, and recovery activities using AWS S3.
• Monitor and troubleshoot application notifications and event-driven integrations implemented using AWS SNS.
• Manage, maintain, and troubleshoot container images and repositories hosted in AWS Elastic Container Registry (ECR).
• Monitor, support, and troubleshoot batch and data-processing workflows orchestrated through Apache Airflow, including DAG failures, scheduling issues, dependencies, and performance bottlenecks.
• Support containerized applications deployed on Kubernetes, including troubleshooting pods, deployments, services, configurations, resource utilization, and application logs.
• Use Harness to support CI/CD pipelines, application deployments, release validation, rollback activities, and production deployment monitoring.
• Perform detailed Root Cause Analysis (RCA) for critical and recurring incidents, document findings, and coordinate corrective actions with engineering and infrastructure teams.
• Identify recurring production issues and implement preventive and permanent fixes to improve platform reliability and reduce incident volume.
• Handle Business-as-Usual (BAU) activities, including daily health checks, batch monitoring, job reruns, data validation, service requests, access-related requests, and operational reporting.
• Analyze data issues and perform reconciliation, profiling, validation, and correction activities to ensure data accuracy, completeness, and consistency.
• Coordinate with application development, database, cloud, infrastructure, DevOps, and business teams during high-priority production incidents.
• Participate in incident, problem, change, and release management processes and ensure compliance with defined operational procedures and SLAs.
• Perform impact analysis, technical design, coding, testing, deployment, and post-production validation for minor and medium-sized application enhancements.
• Support planned releases, infrastructure changes, platform upgrades, patching, and production maintenance activities.
• Develop automation solutions using Python, SQL/PLSQL, and platform utilities to reduce manual operational effort and improve support efficiency.
• Create and maintain technical documentation, operational runbooks, troubleshooting guides, support procedures, and knowledge-base articles.
• Monitor application logs, system alerts, scheduled workflows, cloud components, and Kubernetes workloads to proactively identify potential failures.
• Participate in on-call support rotations and provide technical assistance during critical incidents, production releases, and planned maintenance activities.
• Track incidents through closure, provide timely status updates, and communicate business impact, recovery actions, root causes, and preventive measures to stakeholders.
• Drive continuous service improvement by identifying automation opportunities, performance enhancements, monitoring improvements, and process optimization initiatives.

Pay

$110,000-$140,000 a year