Remote Scala & Akka Engineer - Distributed Systems

BairesDev

Peru (IL)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Benefits offered by this job

100% remote work

Job summary

BairesDev is seeking a Software Engineer (Akka) to design and build highly concurrent, distributed applications using the actor model for scalability and resilience. The role focuses on JVM-based systems with Scala and functional programming, in a fully remote context.

You will collaborate with global teams to define actor hierarchies, ensure system isolation, and drive performance improvements across distributed architectures.

Qualifications

  • 4+ years of software engineering experience with concurrent and distributed systems.
  • Proven expertise in Akka and the actor model.
  • Strong Scala and functional programming skills.
  • Hands-on experience with message-driven systems and reactive development.
  • Excellent English proficiency.

Responsibilities

  • Design and implement highly concurrent, distributed applications using Akka and Scala.
  • Develop message-driven architectures based on the actor model to ensure system isolation and responsiveness.
  • Build resilient and self-healing systems by implementing supervision and fault-tolerance strategies.
  • Optimize distributed systems for high throughput and low latency across JVM-based environments.
  • Collaborate with engineering teams to define actor hierarchies and reactive system standards.
  • Ensure the stability and performance of elastic architectures through cluster management and monitoring.

Skills

Akka
Scala
Distributed systems
English
Message-driven systems
Functional programming

Job description

BairesDev is seeking a Software Engineer (Akka) to design and build highly concurrent, distributed applications using the actor model for scalability and resilience. The role focuses on JVM-based systems with Scala and functional programming, in a fully remote context.

You will collaborate with global teams to define actor hierarchies, ensure system isolation, and drive performance improvements across distributed architectures.

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