About Company
USEReady helps businesses to be self-reliant on data. Growing over 3000% since inception, USEReady achieved #113 rank in Inc 500 2015 and honoured top 100 companies in North America 2015 by Red Herring. USEReady is built on strong entrepreneurial spirit with unprecedented opportunities for career growth. At USEReady, we believe in achieving career growth while improving our individual competencies. If you desire to be part of a team that believes in mutual success and inspiration, you are welcome to apply.
USEReady helps enterprises apply AI and agentic intelligence to improve decisions, automate operations, and build smarter, more autonomous business systems.
For more than a decade, we have built the foundations that make this possible by modernizing BI environments, migrating legacy platforms, improving data quality, and enabling governed, cloud-first architectures. These foundations now support the next step: AI-driven insights, automated intelligence, and agent-powered decision support that reduce complexity and accelerate outcomes.
We work closely with technology leaders such as AWS, Elementum, Snowflake, Tableau, Databricks, and others to help organizations modernize analytics, strengthen governance, and deploy agentic automation with confidence. Headquartered in New York City with 450+ experts across the United States, Canada, India, and Singapore, we serve industries including financial services, healthcare, manufacturing, government, education, and retail. Our deep expertise, player-coach delivery model, and focus on fast, measurable results make us a trusted partner for building an AI-ready enterprise.
Azure DevOps & Platform Engineer
Job Summary
We are seeking a highly skilled Azure DevOps & Data Platform Engineer with strong expertise in Azure Cloud, Azure Databricks, Azure Data Factory (ADF), Terraform, and CI/CD automation. The ideal candidate will be responsible for designing, implementing, and supporting scalable DevOps solutions for enterprise data platforms while ensuring secure, automated, and reliable deployments across multiple environments.
The role involves close collaboration with Data Engineering, Infrastructure, and Solution Architecture teams to streamline deployments, improve operational efficiency, and support cloud modernization initiatives.
Key Responsibilities
Azure DevOps & CI/CD Automation :
- Design, implement, and maintain CI/CD pipelines using Azure DevOps and GitHub Actions.
- Automate deployment processes for Azure Databricks, Azure Data Factory, Terraform, and related Azure services.
- Develop reusable deployment frameworks and automation scripts to reduce manual intervention.
- Support release management and deployment validation across Sandbox, Non-Prod, and Production environments.
- Troubleshoot deployment failures, pipeline issues, and Git merge conflicts.
- Implement infrastructure-as-code (IaC) solutions using Terraform.
Azure Databricks Administration & Automation
- Implement and maintain Azure Databricks CI/CD solutions.
- Automate Databricks repository synchronization and notebook deployments.
- Support Databricks workflow migration and environment onboarding.
- Configure Databricks Access Connectors, networking, and managed identity integrations.
- Collaborate with Databricks solution teams to implement Service Principal-based CI/CD approaches.
- Support Databricks networking, private endpoints, firewall configurations, and serverless integrations.
Azure Data Factory (ADF) Support
- Design and implement custom ADF deployment automation solutions.
- Develop selective ADF deployment frameworks supporting linked services, datasets, pipelines, and triggers.
- Support ADF CI/CD implementation using Microsoft recommended approaches.
- Perform ADF environment refactoring and migration activities.
- Support deployment validation and production release activities.
Cloud Infrastructure & Terraform
- Develop and maintain Terraform modules for Azure infrastructure provisioning.
- Provision and manage Azure networking components including VNets, NSGs, route tables, subnets, and private DNS zones.
- Manage Azure resource locks, firewall rules, private endpoints, and DNS integrations.
- Perform Terraform state management, imports, refactoring, and environment migrations.
Collaboration & Operational Support
- Work closely with Data Engineering, Cloud Infrastructure, and Solution Architecture teams.
- Conduct DevOps knowledge-sharing sessions and technical walkthroughs.
- Support environment monitoring, issue resolution, and production deployments.
- Participate in change management, deployment approvals, and operational support activities.
- Provide recommendations to improve platform reliability, security, and deployment maturity.
Required Skills & Qualification
Technical Skills :
Strong Experience With
- Azure DevOps
- Azure Cloud Services
- Azure Databricks
- Azure Data Factory (ADF)
- Terraform
- GitHub Actions
- CI/CD automation
- GitHub repository management
- Infrastructure as Code (IaC)
- Azure Networking
- PowerShell / Bash scripting
- Git version control
Additional Preferred Skills
- Fabric CI/CD knowledge
- Python scripting
- Linux administration
- Databricks networking and serverless architecture
- Private DNS Zones and Private Endpoints
- Managed Identity and Service Principal integrations
Certifications Preferred
- AZ-400 : Microsoft Azure DevOps Engineer Expert
- AZ-104 : Microsoft Azure Administrator
- DP-203 Certified : Azure Data Engineer Associate
Experience Requirements
- 7+ years of experience in Azure Cloud and DevOps engineering.
- Hands-on experience implementing enterprise-grade CI/CD solutions.
- Experience supporting production cloud platforms and deployment operations.
- Strong troubleshooting and problem-solving skills.
- Experience collaborating with cross-functional technical teams
Key Achievements Expected
- Reduce manual deployment effort through automation.
- Improve deployment reliability and environment consistency.
- Enhance security and governance of cloud infrastructure.
- Enable scalable DevOps practices across enterprise data platforms.
- Streamline Databricks and ADF deployment processes
Soft Skills
- Strong communication and stakeholder management skills.
- Ability to work independently and collaboratively.
- Analytical thinking and proactive problem-solving.
- Strong documentation and presentation skills.
- Ability to manage multiple priorities in fast-paced environments.
Tools & Technologies
- Azure DevOps
- GitHub Actions (CI/CD)
- GitHub Repositories
- Terraform
- Azure Databricks
- Azure Data Factory
- Azure Key Vault
- Azure Networking
- Git
- Scripting
- Python
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