L3 Production Support Engineer

Techaxis, Inc; Irvine (CA); Presencial; USD 110 000 - 160 000; Tempo integral

Resumo da oferta

Techaxis, Inc. in Irvine, CA is seeking an experienced L3 Production Support Engineer to provide advanced technical and operational support for data and analytics applications.

The role requires hands-on experience with Python, R, Alteryx, SQL/PLSQL, AWS, Airflow, Kubernetes, and Harness, plus strong production incident resolution capabilities. Responsibilities include incident management, RCA, preventive fixes, BAU activities, and collaborating with engineering and operations teams to ensure

Qualificações

• Experience providing L3 production support for data and analytics platforms.
• Strong incident resolution and root cause analysis capabilities.
• Experience with cloud platforms and containerized applications.

Responsabilidades

• Provide L3 production support for critical data, analytics, and application platforms.
• Investigate and resolve complex production incidents across data pipelines and systems.
• Develop, troubleshoot, and optimize Python/R workflows and analytics processes.
• Monitor and support data workflows created with Alteryx and SQL queries.
• Coordinate RCA and preventive fixes with engineering and infrastructure teams.

Conhecimentos

Python

R

Alteryx

SQL/PLSQL

AWS S3

AWS SNS

AWS ECR

Airflow

Kubernetes

Harness

Production support

RCA

Preventive fixes

BAU and enhancements

Ferramentas

AWS S3

AWS SNS

AWS ECR

Airflow

Kubernetes

Harness

Descrição da oferta de emprego

Our client is a Global Tier 1 IT consulting firm based out of the United States. They strongly believe global challenges need global solutions. They are continually engaged with employees, clients, partners, public institutions, and community organizations across the world to step up and rise to the occasion.

About the Role

Tower Lead (L3 Production Support Engineer)

Location—Irvine, CA

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.

Responsibilities

• 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.

Required Skills

• Python
• R
• Alteryx
• SQL/PLSQL
• AWS S3
• AWS SNS
• AWS ECR
• Airflow
• Production support
• RCA
• Preventive fixes
• BAU and enhancements

About us

Techaxis Inc. is headquartered in Northern Virginia, USA. We are ranked #3294 in Inc 5000 and #105 in Inc 5000 DC Metro Series, SWaM, and WBE Certified technology talent search firm.

Equal Opportunity Statement

Our clients provide equal opportunities to all its employees and all qualified applicants for employment, without regard to their race, caste, religion, color, ancestry, marital status, sex, age, nationality, disability, and veteran status. Employees of our clients are treated with dignity and in accordance with their policy to maintain a work environment free of sexual harassment, whether physical, verbal, or psychological. Employee policies and practices are administered in a manner that would ensure that in all matters equal opportunity is provided to those eligible and the decisions are merit-based.