Lead Backend Data Engineer: Scalable, Observability‑Driven

Blend360; Argentina; Híbrido; ARS 60.328.000 - 135.738.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Databricks

Snowflake

Udemy Business

English Lessons

Travel Opportunities

Mentoring Program

Flexible Working Options

Company Equipment

Descripción de la vacante

Blend360 is seeking an experienced Backend Engineer to design and build scalable Java-based services. You will lead architecture for distributed systems handling large-scale data, ensure reliability, and optimize multi-threaded applications with Kubernetes-based deployments.

You should have 5+ years of backend experience, strong SQL and database design skills, and familiarity with Spring, Kafka, and observability tooling like Grafana or Prometheus.

Formación

• 5+ years of Backend Engineering experience with distributed systems.
• Experience in multi-threaded programming and concurrent designs.
• Proficiency with Java and Spring Framework.

Responsabilidades

• Design and build scalable backend systems using Java.
• Lead architecture of distributed systems for large-scale data processing.
• Develop and optimize concurrent and multi-threaded applications.
• Manage containerized workloads using Kubernetes.
• Collaborate with cross-functional teams to define APIs and integration patterns.
• Implement observability and monitoring solutions for system health.
• Support production deployments and troubleshoot complex issues.

Conocimientos

Java

Concurrency

Kubernetes

Spring

Kafka

SQL

Distributed systems

Reactive programming

Educación

Bachelor's degree in Computer Science

Herramientas

Grafana

Prometheus

Loki

Descripción del empleo

Blend360 is seeking an experienced Backend Engineer to design and build scalable Java-based services. You will lead architecture for distributed systems handling large-scale data, ensure reliability, and optimize multi-threaded applications with Kubernetes-based deployments.

You should have 5+ years of backend experience, strong SQL and database design skills, and familiarity with Spring, Kafka, and observability tooling like Grafana or Prometheus.