Senior Backend Engineer - AI-Powered Risk Platform (Hybrid)

Exiger; McLean (VA); Híbrido; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary time off

Health, vision, dental benefits

Competitive compensation package

16 weeks parental leave

Hybrid work model

Wellness stipends

Career development reimbursements

Descripción de la vacante

Exiger is seeking a Senior Software Engineer to lead the DDIQ team's core risk signals processing and scalable SaaS platform components. You will drive architectural direction, mentor engineers, and ensure reliability, performance, and maintainability across services.

You will collaborate across backend, frontend, data, and infrastructure, leveraging AI agents to accelerate delivery while balancing long-term vision with immediate impact.

Formación

• 6+ years of hands-on software engineering experience with backend systems or data-intensive apps.
• Experience as a technical lead or senior engineer responsible for architecture and health of enterprise apps.
• Strong system design instincts across app, data, infra, reliability, and operations.
• Cloud-native architectures with Kubernetes and IAC experience; API-first SaaS background.

Responsabilidades

• Own the technical vision and architecture for production applications.
• Serve as the senior technical authority across backend, frontend, data, and infra.
• Leverage AI to drive delivery across the SDLC (design, development, testing, CI/CD).
• Deliver features across multiple services with scalable, secure releases.
• Oversee architecture decisions and tradeoffs for performance vs. time-to-market.
• Ensure reliability and observability across microservices and CI/CD lifecycle.

Conocimientos

Ownership mindset

System design

Cloud-native

Leadership

Data-driven

Herramientas

Java

Spring Boot

Go

TypeScript

React

Postgres

Kafka

Redis

Kubernetes

Terraform

AWS

Descripción del empleo

Exiger is seeking a Senior Software Engineer to lead the DDIQ team's core risk signals processing and scalable SaaS platform components. You will drive architectural direction, mentor engineers, and ensure reliability, performance, and maintainability across services.

You will collaborate across backend, frontend, data, and infrastructure, leveraging AI agents to accelerate delivery while balancing long-term vision with immediate impact.