Software Engineer

Svitla Systems • DevOps & Platform Engineering • IT Outsourcing & Dedicated Teams • Python • Java • 1 month ago
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Salary
≈ $66k – $190k per year (Estimated)
Location
Remote (likely Argentina, Colombia, Mexico, Costa Rica)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 2, 2026. First seen by Alion on Sep 1, 2026. Svitla Systems scores B on the Alion truth index.

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Svitla Systems

Svitla Systems is a global digital solutions and custom software engineering company headquartered in California, with delivery centers across North America, Latin America, Europe, and Asia. Founded in 2003, the company offers end-to-end IT services, including cloud architecture, AI/machine learning integration, data engineering, DevOps, and mobile and web application development.
svitla.com • HQ: Kraków, Poland • HQ: Corte Madera, United States • DevOps & Platform Engineering • IT Outsourcing & Dedicated Teams • Custom Software Development • Est. 2003
Tech stack of Svitla Systems

Svitla Systems Inc. is looking for a Software Engineer with Data, Spark, EMR, and AI for a full-time position (40 hours per week) in LATAM. Our client is one of the world’s largest and fastest-growing job sites.

This role focuses on data engineering, Spark, EMR, and AI-enabled solutions. The role supports the design and delivery of scalable data processing systems and intelligent workflows for analytics, machine learning, and automation use cases.

Requirements:

  • 4+ years of software engineering or data engineering experience.
  • Strong experience with Spark and distributed data processing.
  • Experience with Amazon EMR or similar cloud-based data processing platforms.
  • Proficiency in Java, Python, or related programming languages.
  • Familiarity with AI / ML workflows, model integration, or data preparation for intelligent systems.
  • Strong understanding of scalable data architecture and performance optimization.
  • Strong debugging, problem-solving, and collaboration skills.
  • Ability to work effectively in evolving, data-intensive environments.
  • Ability to work across software engineering and data engineering responsibilities.
  • Strong execution focus with practical architectural sense.

Nice to have:

  • Experience with Kafka, Airflow, data lakes, or warehouse ecosystems.
  • Familiarity with MLOps, feature stores, or AI platform integration.
  • Experience with AWS-native services and observability tooling.

Responsibilities:

  • Design and develop scalable data processing solutions using Spark and EMR.
  • Build and maintain batch and distributed data pipelines.
  • Collaborate with engineering, AI, and product teams to productionize data-driven and ML-enabled use cases.
  • Develop software components for data transformation, feature preparation, and AI workflow integration.
  • Optimize pipeline performance, cost efficiency, and production reliability.
  • Troubleshoot data and application issues across development and production environments.
  • Contribute to architecture discussions, documentation, and engineering standards.
  • Ensure solutions meet data quality, governance, and security requirements.
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