Senior Back-End Engineer - LATAM

Virtasant

About The Position

Virtasant is hiring a senior back-end engineer for a large enterprise program focused on healthcare operations and workforce decisioning. The platform helps operations leaders understand workforce activity, make informed decisions, take action in existing enterprise systems, and measure outcomes. The role develops APIs, integrations, decision services, and data services, with a focus on reliability, security, and multi-tenant architecture. The team works across Actions & API, Decisions, and Data. The engineer will build and support production services using TypeScript and Node.js, and will own services through design, implementation, deployment, monitoring, troubleshooting, and ongoing improvement. The role involves collaboration with front-end, data, and platform engineers, as well as client stakeholders. The position is for a candidate available around December 1, 2026.

Requirements

At least 5 years building production back-end services, with recent hands-on TypeScript and Node.js experience.
Experience designing REST APIs using OpenAPI specifications and generating server types, clients, and tests from API contracts; understanding of API versioning and compatibility.
Experience building integrations that write data back to external enterprise systems, such as HR, ERP, or vendor-management platforms.
Understanding of idempotency, retries, backoff, outbox patterns, dead-letter queues, and reconciliation.
Experience building multi-tenant SaaS services with strict tenant isolation across data layers, authorization, and testing.
Production cloud experience with Azure, AWS, or GCP, including OAuth 2.0, OpenID Connect, containers, and CI/CD.
Regular practice implementing unit, integration, and contract testing.
Daily use of AI coding assistants or agents, with the ability to review, test, and validate generated code.
Fluent written and spoken English, with comfort collaborating directly with US-based engineers and client stakeholders.
Available around December 1, 2026.

Nice To Haves

Java experience or familiarity with rules and decision engines, such as DMN decision tables or Drools.
Experience with Snowflake, dbt, SQL Server, Azure SQL, or other modern cloud data platforms.
Graph database experience, particularly Neo4j and Cypher.
Experience with event-driven architectures and message queues, such as Azure Service Bus, Event Grid, or equivalent technologies.
Experience integrating with Workday or vendor-management systems.
Experience building tools for AI assistants, including MCP servers and LLM tool-calling integrations.
Experience implementing audit trails, approval workflows, and versioned configuration in regulated environments.
Healthcare operations or workforce-management domain experience.
Azure and Entra ID experience.

Responsibilities

Design, develop, and maintain scalable back-end services using TypeScript and Node.js.
Build and maintain REST APIs using contract-first development practices, including consistency, versioning, and reliable communication with platform components and external systems.
Develop integrations with enterprise HR, ERP, and workforce-management systems, including reliable data exchange and safe write-back operations.
Implement integration patterns such as idempotency, retries, event-driven processing, dead-letter queues, and reconciliation.
Build and maintain decision services, business rules, and outcome-tracking capabilities.
Develop and support data services and pipelines that process, transform, and provide operational data to the platform.
Design and implement secure multi-tenant services with strict data isolation and appropriate access controls.
Build and maintain cloud-native services using Azure, AWS, or GCP, including containerized applications and automated CI/CD pipelines.
Implement unit, integration, and contract tests to support service reliability, performance, and compatibility.
Collaborate with front-end engineers, data engineers, platform engineers, and client stakeholders to translate business requirements into technical solutions.
Use AI-assisted development tools and coding agents while maintaining code quality, security, and engineering standards.
Own services throughout their lifecycle, from design and implementation through production deployment, monitoring, troubleshooting, and improvement.