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# DevOps Engineer (CI/CD Pipelines)

- **Company:** Connvertex Technologies Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Software as a Service, Cloud Computing, Configuration Management, Code Review, Continuous Integration, Software Design Patterns, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Node.Js, Reliability Engineering, Software Engineering, Data Streaming, TypeScript, Web Application Frameworks, Software Organization, Data Logging, Spring Cloud, Software Troubleshooting, Multi-Cloud, Generative AI, AI Coding Agents, Backend, Git, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Docker, Microservices
- **Published:** October 14, 2026
- **Apply:** https://www.careerjet.com/jobad/usbff728fbac3ab8b4c9b65a09a8e543f8

## About the Role

Bachelor's degree in computer science, Software Engineering, Telecommunications Engineering, Information Technology, or a related technical discipline; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous related work experience.
Three (3) years of experience in Software, DevOps, Cloud, Full Stack, Platform Engineering, or a related technical field.
Experience developing production-grade software using Python, TypeScript, and Node.js, with modern frameworks, backend services/APIs, and as applicable frontend applications.
Experience with Git, software design patterns, automated testing, code review, and modern software development practices.
Experience designing and maintaining CI/CD pipelines and automated build, test, release, deployment, and rollback workflows.
Experience developing and deploying cloud-native applications using Microsoft Azure and containerization/orchestration technologies such as Docker and Kubernetes.
Experience with Infrastructure as Code, automated provisioning, configuration management, and cloud application integration.
Working knowledge of monitoring, logging, observability, networking, security, identity, and production support for distributed applications.
Strong troubleshooting, analytical, collaboration, and technical communication skills.
Available for occasional overnight travel (10%).
Must pass a pre-employment drug test.
Must be legally eligible to work in the country in which the position is located.
Authorization to work in the US is required; this position is not eligible for visa sponsorship.
Preferred Skills:
Experience with additional enterprise cloud platforms and multicloud architectures beyond Microsoft Azure.
Experience with Terraform or comparable Infrastructure as Code technologies.
Experience designing reusable CI/CD frameworks, pipeline templates, GitOps, platform engineering, or developer-experience capabilities.
Experience with event-driven architecture, messaging, streaming, microservices, or distributed systems.
Experience with Site Reliability Engineering (SRE) or related operational reliability practices.
Familiarity with AI, ML, MLOps, Generative AI, or AI-assisted software development.
Airline or aviation industry experience.

## Description

Develop production-grade software using Python, TypeScript, and Node.js, with modern frameworks, backend services/APIs, and as applicable frontend applications.
Design and maintain CI/CD pipelines and automated build, test, release, deployment, and rollback workflows.
Develop and deploy cloud-native applications using Microsoft Azure and containerization/orchestration technologies such as Docker and Kubernetes.
Implement Infrastructure as Code, automated provisioning, configuration management, and cloud application integration.
Apply Git, software design patterns, automated testing, code review, and modern software development practices.
Support monitoring, logging, observability, networking, security, identity, and production support for distributed applications.
Troubleshoot technical issues and collaborate effectively with teams.
Support occasional overnight travel (10%).