Azure DevOps Engineer

BLDG SVC 32 B-J•New York, NY

3d•$110,000 - $140,000•Onsite

About The Position

Under the supervision of the Manager, DevOps, the Azure DevOps Engineer will collaborate with internal and external stakeholders to engineer (maintain) the 32BJ Funds primary enterprise Microsoft Azure and on-premises environments supporting business objectives. He/she will primarily be responsible for DevOps activities related to the architecture, design, development, implementation, testing, deployment, automation, security and support of the Microsoft Azure and on-premises environments and application integrations.

Requirements

1-3+ years of hands-on experience with Azure Infrastructure and development solutions.
1-3+ years of experience in designing DevOps pipelines, installations, configurations, automations and monitoring of various cloud services including: (laaS, PaaS, and SaaS).
Experience in implementing Full lifecycle DevOps automation including Configurations management, Build Automation, Release Management, Development Automation and Infrastructure management.
Solid experience with DevOps implementations, migrations and upgrades within the Microsoft Cloud Azure solution suite.
Deep understanding of Cloud Azure Kubernetes Service with container-based development skills, Experience with container management tools like Docker, ACS, Kubernetes, AKS, and GKE.
Experience with DevOps CI/CD tools and concepts – Jenkins, Git, Ansible, Chef, Ansible, Azure DevOps and staged integrations etc.
Experience with scripting languages – PowerShell, Groovy, Javascript, Python, and Golang.
Understanding of microservices, containerization, and other app modernization strategies
Understanding of APIs, SDKs, and other integration methods
Familiar with Network Infrastructure and Security.
Knowledge of IP networking, private tunnel, VPN's, DNS, load balancing and firewall.
Familiar with Windows and Linux.
Candidate must have excellent communication (verbal and written) and interpersonal skills, including effectively communicating with technical and non-technical team members.
Experience working in a high demand work environment.
Detail oriented with excellent organization and analytical skills.
Ability to plan and take initiatives to accomplish objectives in timely fashion.
Ability to prioritize work and meet deadlines.
Ability to establish and maintain effective working relationships with team members, supervisors, and employees from other departments.
Bachelor’s degree in Computer Science, or a related discipline.
Speak, read, write and understand English

Nice To Haves

Experience with Amazon AWS and/or Google Cloud is a plus
Experience implementing CI/CD for Dynamics 365 using Azure DevOps is a plus
Experience with SQL Server, SSRS, SSIS and Transact SQL is a plus

Responsibilities

Develop deployment automation to provide a fully functional cloud stack in Microsoft Azure that supports new and existing environments.
Build, migrate and test Microsoft Azure environments and integrations.
Integration with on-premises applications, cloud providers or other platforms.
Develop templates or scripts to automate everyday infrastructure, development, deployment, or operations functions.
Develops automated release tools meant to allow continuous build and release processes.
Monitor the performance of systems in a cloud based computing environment, including overall system health, reliability, performance, and cost. Able to identify bottlenecks and scale up/down resources to meet demands and expectations.
Incorporate security products and processes into existing and new systems and infrastructure.
Bake operational and security controls into engineering and DevOps pipelines (e.g., build automation and configuration management).
Setup multi-level network environments using Microsoft Azure.
Provision cloud resources to support existing and new applications.
Develop operational best practices to control cloud usage costs.
Build and maintain scalable and performant production infrastructure, improving and ensuring reliability across systems.
Assist IT, Development, and Data teams with Cloud management tasks.
Assist production support teams with troubleshooting anomalies.
Troubleshoot and debug infrastructure issues.
Plan and prioritize activities.
Work on multiple projects at the same time.
Report activities and progress to the management on a weekly basis.
Perform tasks as required by management.
Provide support after hours and on weekends, when necessary.