Analista de Desenvolvimento de Sistemas Java SR

New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
GCPJavaKafkaCI/CDMicroservicesGenerative AI

Requirements

  • Strong experience in backend development with Java in enterprise environments.
  • Solid hands-on experience with Google Cloud Platform (GCP), including services such as Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, and IAM.
  • Deep knowledge of microservices architecture, RESTful APIs, and messaging systems such as Kafka and Pub/Sub.
  • Strong understanding of software engineering best practices including Clean Code, SOLID principles, TDD, and DDD.
  • Experience with relational and non-relational databases.
  • Experience with CI/CD pipelines and Infrastructure as Code tools.
  • Strong technical leadership and communication skills, with ability to influence engineering decisions.
  • Experience or knowledge in Kotlin, Go, or strong Python development skills.
  • Knowledge of data platforms within GCP environments.
  • Familiarity with AI/GenAI concepts such as LLMs, RAG architectures, and agent-based systems.
  • Experience with frameworks such as Vertex AI, OpenAI, LangChain, and tools like Streamlit or Gradio for building AI-powered applications.

Responsibilities

  • Lead technical decisions in complex backend and financial systems, ensuring scalable and high-quality software architecture.
  • Design, develop, and evolve microservices and event-driven architectures supporting mission-critical applications.
  • Act as a technical reference for engineering teams, promoting best practices such as Clean Code, SOLID, TDD, and DDD.
  • Ensure system quality, performance, reliability, security, and maintainability across all delivered solutions.
  • Collaborate with business, product, and corporate architecture teams to align technical solutions with strategic goals.
  • Contribute to CI/CD pipelines, infrastructure-as-code practices, and cloud-native deployment strategies.
  • Support the evolution of engineering culture, innovation, and technical excellence within the organization.
  • Work on integration of data platforms and services within GCP-based ecosystems, ensuring efficient and scalable solutions.
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