Company Overview

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients
from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science
& healthcare industries. 
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep
technology and domain experts, and global teams. Incedo University, our learning platform, provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager, a technical architect or a domain expert based on your
skills and interests. 
Our Mission is to enable our clients to maximize business impact from technology by

• Harnessing the transformational impact of emerging technologies
• Bridging the gap between business and technology

Role Description

We are looking for a skilled Azure DevOps Engineer with strong expertise in cloud infrastructure automation, CI/CD pipelines, and Azure ecosystem services. Experience in Data & Analytics platforms such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics will be a strong plus. The ideal candidate will work closely with cloud architects, data engineers, and developers to design, implement, and manage scalable DevOps solutions that enable secure, reliable, and automated deployments.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using Azure DevOps (YAML pipelines, Git Repos, Boards, Artifacts).
• Automate infrastructure provisioning and configuration using ARM templates / Bicep / Terraform.
• Manage Azure resources (AKS, App Services, Storage, Key Vault, Networking, VNets, Firewalls, etc.).
• Enable secure and optimized data workloads by supporting deployment and integration of Azure Data Factory, Databricks, Synapse Analytics, and Data Lake.
• Implement monitoring, alerting, and logging solutions (Azure Monitor, Log Analytics, Application Insights).
• Work with data teams to optimize data pipelines, orchestration, and production deployments.
• Collaborate with security teams to ensure IAM, RBAC, policies, and compliance are applied consistently.
• Troubleshoot and resolve build, release, and infrastructure issues across multiple environments.

Technical Skills

• Strong hands-on experience with Azure DevOps (Pipelines, Git, Repos, Boards, Artifacts).
• Expertise in Infrastructure as Code (IaC) – ARM Templates, Bicep, or Terraform.
• Proficiency in Azure services (Compute, Networking, Storage, Security, Monitoring).
• Knowledge of CI/CD best practices and release management.
• Scripting experience with PowerShell or Python.
• Experience with containers & orchestration (Docker, AKS, Kubernetes).
• Solid understanding of security best practices (Key Vault, Managed Identity, Networking, RBAC).

Nice-to-have skills

• Hands-on experience with Azure Data Factory (ADF) for ETL/ELT orchestration.
• Knowledge of Azure Databricks (clusters, jobs, notebooks, automation).
• Exposure to Azure Synapse Analytics (pipelines, SQL pools, integration).
• Familiarity with event-driven architectures (Event Hub, Service Bus, Event Grid).
• Experience integrating DevOps practices in data engineering / analytics projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, or related field.
• 5+ years of experience in DevOps/Cloud Engineering roles.
• Azure certifications (AZ-400, AZ-104, DP-203, or equivalent) are a plus.

Company Value

We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.