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Software Engineer

Gracemark Solutions

Rio Branco

Presencial

BRL 120.000 - 160.000

Tempo integral

Hoje
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Resumo da oferta

A tech solutions provider is seeking a Software Engineer III for an on-site position in São Paulo, SP. The role involves building and enhancing backend features and working with large-scale, data-intensive systems. Candidates should have at least 5 years of backend engineering experience, strong Java skills, and hands-on experience with Big Data tools like Hadoop and Spark. Excellent communication skills and fluency in English are required. Salary is $2200 USD monthly.

Qualificações

  • 5+ years of backend engineering experience.
  • Strong Java backend skills (REST APIs, caching, storage).
  • Hands-on Big Data experience with Hadoop and Spark.
  • Understanding of distributed systems and data architectures.
  • Experience with clean, maintainable code.
  • Excellent communication skills.

Responsabilidades

  • Build and enhance backend features end-to-end.
  • Collaborate with product and design teams.
  • Develop reliable, maintainable backend components.
  • Work on large-scale, distributed, data-intensive systems.

Conhecimentos

Backend engineering
Java
Hadoop
Spark
Distributed systems
Automated testing
Communication skills
Analytical tools (Power BI)
English communication
Descrição da oferta de emprego

Hello!

We currently have a great job opportunity for you!

About the Role

Role: Software Engineer III

Location: São Paulo, SP – On-site role

Duration: 6 months

Salary: $2200 USD monthly (FTE)

What You’ll Do

Build and enhance backend features end to end: requirements, implementation, automated testing, A/B testing, and launch validation.

Collaborate with product, design, and client teams to deliver complete functionality.

Develop reliable, maintainable backend components used by other engineers.

Work on large-scale, distributed, and data‑intensive systems.

What We’re Looking For
  • 5+ years of backend engineering experience.
  • Strong Java backend skills (REST APIs, caching, storage, data processing).
  • Hands‑on Big Data experience: Hadoop, Spark, MapReduce (active migration from MR → Spark).
  • Strong understanding of distributed systems and data-intensive architectures.
  • Experience with automated testing and clean, maintainable code.
  • Excellent communication skills—ability to explain architecture and product impact clearly.
  • Experience in consumer apps, social media, or large-scale platforms (not financial systems).
  • Power BI or other analytics / data tooling.
  • Ability to communicate clearly in English (fluent required) and collaborate effectively across global teams.

If you have real Big Data experience and enjoy building products at scale, we’d love to hear from you!

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