Lead Backend Data Engineer

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

What is this position about?

Design and build scalable backend systems using Java, with deep expertise in production-grade application development.

Lead the architecture and implementation of distributed systems, ensuring reliability, scalability, and performance across complex multi-service environments handling large-scale data processing.

Develop and optimize concurrent and multi-threaded applications, implementing thread synchronization patterns, locks, barriers, and atomic operations for high-performance, data-intensive systems.

Build and maintain big data pipelines and infrastructure to handle high-volume data ingestion, processing, and storage at scale.

Manage containerized workloads using Kubernetes, defining deployment strategies, scaling policies, and resource management for backend services processing big data workloads.

Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns.

Implement observability and monitoring solutions to ensure system health and performance visibility.

Support production deployments, troubleshoot complex issues, and drive continuous improvement initiatives.

Deep proficiency in Java with strong understanding of advanced language features and best practices.

Solid expertise in concurrency patterns, multi-threading, thread synchronization (locks, barriers, mutexes), atomic operations, and volatile semantics.

Proven hands-on experience designing and implementing distributed systems, including challenges like consistency, fault tolerance, and data replication.

Practical knowledge of Kubernetes for container orchestration, deployment strategies, and service management (production-level exposure expected).

Strong SQL and database design fundamentals.

Experience with system profiling, performance analysis, and optimization techniques.

Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki.

Excellent problem-solving skills and ability to debug complex, distributed system issues.

Strong communication skills and ability to mentor and collaborate with team members.

Experience with Spring Framework or other modern Java backend frameworks is a plus.

Background in Kafka or event-streaming architectures is a plus.

Familiarity with reactive programming frameworks or reactive systems design is a plus.

Prior experience in programmatic advertising or real-time data processing systems is a plus.

What about languages?

English: Advanced (required for effective communication with global teams)

How much experience must I have?

5+ years of experience in Backend Engineering or related disciplines such as Systems Engineering or Full-Stack Development, with demonstrated expertise in distributed systems and multi-threaded application design.

Our Perks and Benefits

• Learning Opportunities:
• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and Development:
• Career development plans and mentorship programs to help shape your path.
• Celebrations & Support:
• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
• Company-provided equipment.
• Flexible working options to help you strike the right balance.