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Company profile

Relevance Lab Tech Stack

Cloud, data and GenAI engineering services for enterprise modernization

IT Services and IT Consulting San Jose, CA 501–1,000 employees Founded 2011 Privately Held

Relevance Lab is a San Jose-based technology services firm whose stack centers on Microsoft Fabric, OneLake, Azure Data Factory and the Power Platform, alongside Snowflake, dbt and AWS governance tooling. Job posts point to delivery work in Azure AI services, RAG pipelines and agent deployment, while pain points around new-logo acquisition and revenue goals show a firm pushing growth as hiring accelerates with a senior-heavy mix.

Tech Stack 176 technologies

Core StackApache Spark Python Azure Data Factory C++ PostgreSQL MongoDB Snowflake dbt Jira Confluence Smartsheet ServiceNow Power BI Power Query Power Automate Power Apps Pandas SQL Server CloudFormation Terraform Jenkins Microsoft Fabric Lakehouse OneLake Azure DAX Requests Dataverse AWS Control Tower AWS Organizations+141 more

What Relevance Lab Is BuildingChallenges and projects from their job posts

◆Challenges

  • Modernizing legacy systems and migrating to cloud
  • Winning new logos to meet revenue goals
  • Optimizing cloud resource utilization and costs
  • Maintaining security compliance
  • Shifting to an automation-first operating model

▲Active Projects

  • AI-powered solutions with Azure AI services
  • Intelligent agent deployment with RAG pipeline integration
  • Enterprise Kubernetes platform
  • IaC cloud infrastructure and CI/CD pipelines
  • GitOps deployment governance
  • Observability platform

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
6
Data
4
Sales
2
Ops
1
Support
1

Seniority

Senior
9
Director
3
Junior
1
Principal
1
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About Relevance Lab

Relevance Lab is a privately held technology services company founded in 2011 and headquartered in San Jose, California, with 501–1,000 employees. It works with enterprises on cloud, data and AI programs, including DevOps, infrastructure automation, ITSM and research computing platforms. Delivery spans Azure and AWS environments, with data engineering on Microsoft Fabric, Spark, Snowflake and dbt, and automation via Terraform, CloudFormation and Jenkins. The company hires in the United States and India across engineering, data, sales, operations and support.

HeadquartersSan Jose, CA
Company Size501–1,000 employees
Founded2011
Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does Relevance Lab use?

Relevance Lab works with Microsoft Fabric, OneLake, Azure Data Factory, Apache Spark, Python, Snowflake, dbt, Power BI, PostgreSQL, MongoDB, ServiceNow, Terraform, CloudFormation, AWS Control Tower and Jenkins.

What is Relevance Lab working on?

Job posts reference AI solutions on Azure AI services, intelligent agent deployment, RAG pipeline integration, an enterprise Kubernetes platform, GitOps governance, observability and IaC-based cloud infrastructure.

Where is Relevance Lab hiring?

Relevance Lab is hiring in the United States and India, mainly for senior engineering and data roles, with additional sales, operations and support positions. Hiring velocity is accelerating.

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How this profile is built

Relevance Lab's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.