Demo

Azure DevOps Engineer

JS Consulting Solutions
Houston, TX Full Time
POSTED ON 4/26/2025
AVAILABLE BEFORE 6/26/2025

Job Details

Job Title- Azure devops engineer

Project Location 1111 Bagby St., #1950, Houston, TX, 77002

Duration- 6 months

Contract / CTH / FullTime- contract

Remote or Hybrid or Onsite Hybrid

Visa- USC

Mode of Interview-video

Skills:

* 5 years of US based professional experience

* experience with Azure DevOps or Jenkins in building CI/CD pipelines

* heavy experience with Kafka configuration and management

* Azure Cloud experience

* experience with Terraform

Job Description:

We are seeking an experienced Azure DevOps Engineer to design, implement, and maintain scalable, secure, and reliable infrastructure on Microsoft Azure. The ideal candidate will have expertise in Azure services, DevOps tools, and infrastructure automation, with a strong focus on best practices in security, disaster recovery, and high availability

Responsibilities:

Lead a team of cloud engineers in the design, implementation, and management of Azure infrastructure solutions.

Provide technical guidance, mentorship, and coaching to team members to foster their growth and development.

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

Decompose high-level goals and objectives into actionable tasks and deliverables for the team.

Design and implement infrastructure as code (IaC) using tools such as Terraform to automate provisioning and configuration.

Deploy and manage Azure Kubernetes Service (AKS) clusters for containerized applications.

Deploy, configure, and manage Azure Spring Apps.

Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate software delivery and deployment processes.

Facilitate blue/green deployment strategies to ensure zero-downtime deployments and seamless rollbacks.

Set up and configure monitoring and alerting solutions to ensure the health and performance of Azure resources and applications.

Lead cloud migration projects, including assessment, planning, and execution, to ensure successful transitions to Azure.

Lead and execute cloud migration projects, including lift-and-shift and re-platforming initiatives.

Collaborate with stakeholders to identify and prioritize cloud initiatives and drive innovation and optimization.

Provide technical guidance and mentorship to junior team members.

Stay current with Azure cloud technologies and industry trends and recommend best practices and solutions to improve efficiency and scalability.

Requirements:

Bachelor's degree in Computer Science, Engineering, or related field.

Minimum of 7 years of experience working with Azure cloud platform.

Proficiency in infrastructure as code (IaC) principles and tools, particularly Terraform.

Hands-on experience with Azure Kubernetes Service (AKS) and container orchestration. Minimum of 4 years of experience.

Strong understanding of CI/CD pipelines and automation tools such as Azure DevOps or Github Actions

Kafka configuration and management is a must

Experience with blue/green deployment strategies and zero-downtime deployment techniques.

Experience with infrastructure security best practices and compliance standards.

In-depth knowledge of monitoring and logging tools such as Azure Monitor and Log Analytics.

Demonstrated expertise in cloud migration projects, including assessment, planning, and execution.

Proficiency in scripting and automation using Python.

Solid understanding of networking concepts including IP addressing, DNS, and load balancing in Azure environment.

Previous experience in a managerial or leadership role leading a team of cloud engineers.

Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred Qualifications:

Azure certifications such as Azure Solutions Architect Expert or Azure DevOps Engineer Expert.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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