DevOps Engineer (Technology Specialist I) - Digital and Technology Partners - Onsite/Hybrid

Mount Sinai Health System • New York, NY

2d • $109,000 - $163,695 • Hybrid

About The Position

This position is Onsite/Hybrid - requires 1 day a week onsite Location: 150 E 42nd Street, New York, NY Acts as the principal technology expert for major systems and their subsystems utilizing a thorough understanding of available technology, tools and existing designs.

Requirements

• Bachelor degree in Computer Science or a related discipline, or an equivalent combination of education and work experience.
• Eight years of diverse work experience in IT with a minimum of six years experience in systems analysis and application program development, or an equivalent combination of education and work experience.

Nice To Haves

• Masters degree preferred.
• Minimum 2 years real world DevOps and Programming experience building and maintaining complex systems, and automating, installing and configuration of software
• Knowledge of configuring and managing Linux and Window Servers
• Knowledge of configuring and managing database system like, PostgreSQL and MySQL.
• Knowledge of Managing Cloud environment like Azure and AWS.
• Detailed working knowledge of networking and control access to hosting environments
• Working knowledge of Ansible and other dev-ops automation tools
• Ability to use a wide variety of open source technologies.

Responsibilities

• Administer and maintain Linux server infrastructure, including system configuration, user access management, and monitoring to ensure reliability and performance.
• Manage Microsoft Azure cloud resources, including security configuration using Azure Role-Based Access Control (RBAC) and identity management through Azure Active Directory.
• Develop and maintain CI/CD pipelines using Docker, Kubernetes, Jenkins, and Bitbucket for automated deployment and integration.
• Build and support big data infrastructure using technologies such as Apache Kafka, Apache Spark, MongoDB, and Splunk.
• Deploy, maintain, and monitor machine learning applications, including recommendation systems and deep learning–based classifiers.
• Implement infrastructure monitoring, logging, and debugging solutions using tools such as Splunk, Plotly, and Nagios.
• Prepare periodic reports on infrastructure performance, system health, and machine learning application operations.
• Develop prototypes and proof-of-concept solutions and implement real-time machine learning infrastructure for advanced use cases.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees