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Full-time
bachelor degree
Posted 51d ago
~40 hrs/week
Responsibilities
Define and govern application architecture standards for API ecosystems and integration platforms on Microsoft Azure. Lead the adoption of AI-powered engineering practices and mentor technical teams to ensure scalable, secure, and maintainable solutions.
Requirements
Requires over 10 years of software engineering experience with at least 5 years in technical leadership or architecture roles. Deep expertise in .NET, Azure cloud services, and distributed system patterns like DDD and EDA is essential.
Full job description
Job Description
About You
You are a Principal Integration Architect with deep expertise in enterprise integration platforms, API ecosystems, and cloud-native solutions on Microsoft Azure. You own decisions end-to-end, communicate blockers proactively, and influence engineering culture across multiple teams. You are as comfortable whiteboarding domain models with business stakeholders as you are reviewing pull requests with engineers.
You are energized by AI adoption, someone who identifies opportunities, defines governance, and drives enablement at the team level.
Note: This position is offered under a contractor model for a period of 6 months.
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.
5+ years of experience in Architecture, Principal Engineer, Staff Engineer, or Technical Leadership roles.
Proven experience designing and implementing enterprise-scale integration platforms and distributed systems, your core value is building a unified enterprise integration layer that standardizes how business domains communicate across systems and verticals.
Strong expertise in:
Modern .NET patterns, async pipelines, and enterprise-scale codebases.
API Architecture and Enterprise Integrations.
Domain-Driven Design (DDD).
Event-Driven Architecture (EDA).
Test-Driven Development (TDD).
Microservices and Distributed Systems.
Cloud-Native Architecture.
Strong understanding of REST APIs, OpenAPI Specifications, OAuth2, OIDC, API Security, and Identity Management.
Experience implementing observability practices, including monitoring, logging, distributed tracing, and telemetry.
Hands-on experience with Microsoft Azure services, including Azure API Management (APIM), Azure Functions, Azure Service Bus, Event Hubs, Azure Kubernetes Service (AKS), Azure SQL, Application Insights, and Azure AI Services. You know these tools deeply as a designer and consumer, not as an infrastructure provisioner.
Knowledge of CQRS, Event Sourcing, Saga Patterns, and Distributed Transaction Management.
Familiarity with OpenTelemetry and enterprise observability platforms.
Demonstrated ability to leverage AI tools in day-to-day engineering (Copilot, code generation, LLM integration into products).
Strong communication skills with the ability to engage business stakeholders and engineering teams with equal fluency.
Demonstrated ownership and accountability: you surface risks early, remove blockers, and drive outcomes with a high degree of autonomy.
You Will Be Accountable for the Following Responsibilities:
Design and lead the implementation of a unified enterprise integration layer that enables canonical business domains, flexible source system extensions, and seamless cross-vertical connectivity.
Define and maintain application architecture standards, principles, and best practices across the integration and API engineering organization.
Design scalable, secure, and highly available API ecosystems and integration solutions.
Lead architecture reviews and provide hands-on technical guidance across engineering teams.
Define standards for API design, security, observability, documentation, and lifecycle management.
Lead integration strategies across internal applications, ERP, SaaS platforms, enterprise systems, and external partners.
Facilitate domain discovery and event storming workshops with business and technical stakeholders.
Design and implement event-driven and message-based architectures using Azure Service Bus, Event Hubs, and related technologies.
Drive adoption of AI-assisted engineering practices to improve developer productivity, delivery speed, and solution quality.
Promote engineering excellence through TDD, Clean Architecture, SOLID principles, and automated quality practices.
Lead modernization initiatives and technical debt reduction efforts.
Partner with platform teams on CI/CD pipelines, deployment automation, and developer experience.
Mentor architects, technical leads, and engineering teams while fostering a culture of innovation and continuous learning.
Serve as a trusted advisor for strategic technology investments and modernization initiatives.
Qualifications
10+ years of Software Engineering experience.
5+ years in Architecture or Technical Leadership roles.
Hands-on C# and .NET (Core / .NET 6+) experience.
Deep expertise in API Architecture, DDD, EDA, and Distributed Systems.
Strong Microsoft Azure expertise: APIM, Functions, Service Bus, Event Hubs, AKS, Application Insights.
Experience integrating or leading adoption of AI capabilitiesin engineering environments.
Additional Information
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.
Related keywords
.NETC#Microsoft AzureAPI ArchitectureDomain-Driven DesignEvent-Driven ArchitectureMicroservicesDistributed SystemsAzure APIMAzure FunctionsAzure Service BusEvent HubsAKSAzure SQLApplication InsightsAzure AI Services
2026 Google Cloud Public Sector Partner of the Year LATAM
Applaudo is a nearshore AI-native partner helping ambitious enterprises transform through AI-first engineering and scalable delivery. We turn AI ambition into measurable outcomes with performance, trust, and responsible execution.
Our promise is simple: AI Engineered to Transform.
We combine AI-first engineering, outcome-driven partnerships, and nearshore delivery excellence to help clients move faster from idea to execution, and build systems designed to perform at scale. What makes Applaudo different is not just what we build, but how we build it.
AI-First EngineeringWe engineer software that is inherently intelligent. Every system is designed to learn, adapt, and compound value from day one.
Outcome-Driven PartnershipsWe measure success in business impact, not story points. Our engagement model aligns our incentives with yours.
LATAM AI Talent PowerhouseWe are building one of the strongest concentrations of AI-fluent engineering talent in Latin America, scaling regional excellence to global impact.
Applaudo is also a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication.
We build with high standards, real ownership, and teams you can trust. We Are Engineered Different.
Offices: Calle La Reforma, Centro Comercial Plaza San Benito, Locales 1-3, Colonia San Benito, San Salvador, San Salvador 0000, SV
Nearshore Software DevelopmentArtificial IntelligenceDigitalTransformationCustom AI ImplementationAI AssessmentAI Journey BuildingDesignDevelopmentCloudData
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