Azure Full Stack Engineer (Senior Associate Infrastructure L2)

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Job Description

Position Title: Azure Full Stack Engineer (Senior Associate Infrastructure L2)

Contract Openings: 1

Location: Remote or U.S.-based (preferred candidates with Oil & Gas domain experience!!)

Key Focus Areas:

AI/ML integration and development within Azure environment

Azure Functions and APIM (API Management)

Microservices architecture design and implementation

Data engineering and Lakehouse architecture (Databricks, Delta Lake, Synapse, etc.)

CI/CD pipeline automation (Azure DevOps, Jenkins, GitLab)

Oil & Gas industry experience

Unity Catalog familiarity (knowledge preferred, not expert level)

Role Overview: As a Senior Associate Infrastructure L2 , this individual will design, implement, and manage Azure-based infrastructure with strong DevOps practices. The role involves developing and automating data pipelines , managing microservices , and ensuring secure, scalable, and efficient deployments across environments. Collaboration with data, development, and operations teams is key.

Required Skills & Experience

5+ years in cloud infrastructure, DevOps, or full stack engineering.

Deep understanding of Azure (preferred) or AWS/GCP.

Hands-on experience with:

Azure Functions, APIM, Microservices, and CI/CD automation.

Terraform, CloudFormation, or Ansible for Infrastructure-as-Code.

Containerization : Docker, Kubernetes, or AKS.

Scripting : Python, Bash, PowerShell.

Monitoring : Prometheus, Grafana, Azure Monitor, Datadog.

Understanding of networking, security, and cloud compliance.

Familiarity with Unity Catalog and Lakehouse architecture.

Domain experience in Oil & Gas preferred.

Preferred Qualifications

• Azure or AWS certifications ( Azure DevOps Engineer Expert , AWS DevOps Engineer ).

• Experience with serverless computing and AI/ML integration.

• Knowledge of DevSecOps and automation for security compliance.

• Prior experience in large-scale cloud migration projects.

• Core Responsibilities

• Design, deploy, and maintain scalable Azure cloud infrastructure and microservices.

• Build and manage CI/CD pipelines using Azure DevOps or Jenkins.

• Automate deployments and infrastructure provisioning via Terraform, ARM templates, or Ansible .

• Implement AI/ML models and data pipelines within Azure ecosystem.

• Monitor infrastructure and optimize for cost, security, and performance .

• Work with Data Engineering teams on Lakehouse architecture (Databricks, Synapse).

• Apply DevSecOps principles to ensure compliance and security.

• Document infrastructure processes and best practices.