Integration Architect (Azure)

About You

You are an Integration Architect with strong experience designing scalable, secure, and production-grade integration platforms on Microsoft Azure. You will join a senior, AI-first engineering team focused on evolving an existing integration foundation into a robust, enterprise-ready platform.

In this role, you will assess the current architecture, identify opportunities for improvement, and define the technical, security, and quality standards that guide implementation. You will also establish architectural guardrails for AI-assisted development, ensuring solutions remain scalable, maintainable, and aligned with enterprise best practices.

You are comfortable challenging technical decisions with evidence, working independently in complex environments, and clearly documenting architectural decisions while collaborating with distributed engineering teams.

Note: This position is offered under a contractor framework.

You Bring to Applaudo the Following Competencies:

• Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field is desired, or equivalent professional experience.
• 10+ years of experience in software engineering, including 3+ years designing integration architectures.
• Proven experience designing canonical data models and configuration-driven integration platforms.
• Strong experience with Azure integration services, including Service Bus, Function Apps, API Management, and Azure SQL Database.
• Experience designing event-driven and synchronous integration patterns, including Change Data Capture (CDC).
• Strong experience in API design, versioning, and security with OAuth 2.0 and Microsoft Entra ID.
• Demonstrated ability to read and assess a codebase and infrastructure built by another team.
• Hands-on experience with spec-driven development using AI coding agents.
• Fluent English to work with a distributed client team.

Nice to haves:

• ERP integration experience with platforms such as Agility, Infor, or SAP.
• Experience in multi-ERP environments resulting from acquisitions.
• Experience with Snowflake as a downstream data consumer.

You Will Be Accountable for the Following Responsibilities:

• Validate the existing foundation and technology baseline and refine the Enterprise Integration Layer design, adding the synchronous integration flows.
• Define the architecture, security, and quality guardrails that AI coding agents and reviewers apply.
• Review and approve AI-generated code and infrastructure.
• Work within the client’s delivery methodology and tools, reporting to the client’s technical lead for the integration layer.
• Collaborate with the client’s internal team, which owns the delivery plan, backlog priorities, and acceptance of the work.

• Canonical data model design and configuration-driven integration platforms
• Azure Service Bus, Function Apps, API Management, and Azure SQL Database
• Event-driven and synchronous integration patterns, including CDC
• API design, versioning, and security with OAuth 2.0 and Microsoft Entra ID
• Spec-driven development with AI coding agents
• Fluent English

About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.