Azure Devops Lead

Intelliswift - An LTTS Company; Alameda (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Intelliswift - An LTTS Company is seeking a seasoned Lead Azure DevOps Engineer to drive cloud infrastructure, CI/CD practices, and data pipeline architecture in Alameda. The role blends hands-on engineering with team leadership and requires deep Azure DevOps expertise.

You will mentor engineers, design scalable ETL pipelines on Azure, and collaborate with data engineering, platform, and product teams to accelerate delivery. This is a high-ownership role with hybrid onsite requirements.

Qualifications

• 7–8 years in DevOps cloud engineering roles.
• Deep expertise in Azure DevOps: Boards, Pipelines, Repos, and Artifacts.
• Hands-on experience with Azure services: ADF, Functions, AKS, ETL using Azure DevOps.

Responsibilities

• Mentor engineers and lead the DevOps function.
• Design scalable ETL pipelines on Azure and partner with data/data eng teams.
• Own cloud infrastructure, CI/CD practices, and data pipeline architecture.
• Drive delivery acceleration through hands-on engineering and leadership.

Skills

Azure DevOps

CI/CD design

ETL pipelines

Python

PySpark

SQL

Data pipelines

Azure Synapse

ADLS Gen2

Terraform

Bicep ARM

Tools

Terraform

Bicep ARM

Job description

Location: Alameda, CA (Hybrid 1-2 Days / Week Onsite)

Duration: 12+ Months contract

Job Description:

We are looking for a seasoned Lead Azure DevOps Engineer to drive our cloud infrastructure, CI CD practices, and data pipeline architecture.

You will be the technical anchor for the DevOps function — mentoring engineers, designing scalable ETL pipelines on Azure, and partnering closely with data engineering, platform, and product teams to accelerate delivery.

This is a high-ownership role that blends hands-on engineering with team leadership.

Core Technical Requirements:

• 7–8 years in DevOps Cloud engineering roles
• Deep expertise in Azure DevOps: Boards, Pipelines, Repos, and Artifacts.
• Hands-on experience with Azure services: ADF, Azure Functions, AKS, ETL using Azure DevOps.
• Infrastructure as Code using Terraform and or Bicep ARM templates.
• Expertise in CI CD pipeline design, branching strategies, and release management ETL & Data Engineering.
• Hands-on experience designing and maintaining ETL ELT pipelines at scale.
• Experience with Azure Data Factory, SSIS, or equivalent orchestration tools.
• Experience with data Lakehouse patterns: ADLS Gen2, Azure Synapse.
• Pipeline monitoring, alerting, and SLA management for data workloads.
• Familiarity with SQL, Python, or PySpark for pipeline scripting and transformation.