Principal Backend Architect

Principal Backend Architect

(C#/.NET, Azure)

Location: Remote from Latin America

Compensation: $45–$52 USD per hour

Engagement: Full-time international independent contractor

About Latino Legends

Latino Legends connects exceptional Latin American talent with international companies building and scaling high-performing remote teams. We partner with companies across the US, Canada, the UK, and Australia to match skilled professionals with opportunities where they can make a meaningful impact.

About the Role

Our client is a US-based software company with an engineering team of approximately 30 people, supporting a large monolithic platform alongside a growing ecosystem of microservices. With dedicated architects for frontend and data, they are looking for a Principal Backend Architect / Engineer to take ownership of the backend architecture, the most extensive and business-critical part of their platform.

In this role, you'll shape the architecture of the backend ecosystem, including the monolith, microservices, APIs, messaging infrastructure, and integrations. You'll establish engineering standards, guide the platform's evolution toward well-defined services, and remain hands‑on with implementation to ensure architectural decisions translate into reliable, scalable production systems.

You'll work closely with the Lead/Principal Architect, Principal UI Architect, and Data Architect to drive technical direction across the platform.

This is a principal‑level individual contributor role , ideal for an experienced engineer who combines architectural ownership with strong technical execution. There are no direct reports, and hands‑on development remains a core part of the position.

Key Responsibilities

• Own backend architecture across the platform and lead the incremental decomposition of a large monolith into well‑defined, maintainable services.

• Establish backend engineering standards, best practices, and tooling, including shared libraries, service templates, and cross‑cutting platform capabilities.

• Lead API and contract design, ensuring effective versioning, backward compatibility, and reliable communication between internal services, frontend applications, and external integrations.

• Own event‑driven architecture using Azure Service Bus, including message delivery guarantees, retries, idempotency, and failure recovery.

• Define scalable patterns for customer and partner integrations, ensuring failures are observable, traceable, and recoverable.

• Collaborate with the Data Architect on data ownership, transactional boundaries, access patterns, and query performance.

• Improve platform reliability, security, observability, and cloud cost efficiency.

• Champion AI‑assisted engineering practices and help expand the team's capabilities through practical adoption of AI tools and workflows.

• Mentor engineers, review critical pull requests, facilitate technical office hours, and document architectural decisions through Architecture Decision Records (ADRs).

• Contribute to incident response, technical interviews, quarterly planning, and occasional customer‑facing technical discussions.

Requirements

• 10+ years of backend engineering experience , including several years in architecture or technical leadership roles at the principal level.

• Deep, hands‑on expertise in C# and .NET, with a proven track record of designing and delivering secure, scalable, and resilient commercial backend systems.

• Practical experience with Azure services, particularly Azure Functions, Azure Service Bus, and Azure Data Factory.

• Experience working with PostgreSQL, Cosmos DB, Snowflake, CI/CD pipelines, and DevOps practices.

• Demonstrated success incrementally decomposing large monolithic systems, prioritizing safe, reversible changes over disruptive rewrites.

• Strong understanding of event‑driven and asynchronous architectures, including message ordering, idempotency, poison messages, retries, and dead‑letter queues.

• Extensive experience with API design, service contracts, versioning, and backward compatibility.

• Strong data‑access fundamentals, including query optimization, zero‑downtime migrations, and handling inconsistent or complex customer data.

• Proven production ownership, including observability, alerting, incident response, and root‑cause analysis.

• Required: Daily, hands‑on use of AI development tools such as Claude, Claude Code, or comparable agentic engineering tools, along with practical experience building AI‑powered solutions involving agents, reusabl