Analista de Desenvolvimento de Sistemas Java SR

New

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Strong experience in backend development with Java in enterprise or large-scale systems.
Advanced knowledge of Google Cloud Platform (GCP), including Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, and IAM.
Experience with microservices architecture, RESTful APIs, and messaging systems such as Kafka and/or Pub/Sub.
Solid understanding of software engineering best practices including Clean Code, SOLID principles, TDD, DDD, and automated testing.
Experience with relational and non-relational databases in distributed systems environments.
Knowledge of CI/CD pipelines and Infrastructure as Code (IaC) practices.
Strong communication skills with proven experience in technical leadership and cross-functional collaboration.
Familiarity with additional programming languages such as Python (strong preference), Kotlin, or Go.
Experience in data platforms within GCP environments.
Knowledge of generative AI concepts, including LLMs, RAG architectures, and AI agent frameworks.
Hands-on experience with AI/ML ecosystems such as Vertex AI, OpenAI APIs, and LangChain, as well as tools like Streamlit or Gradio for building interactive applications.

Lead technical design and strategic engineering decisions in highly complex backend projects within the finance domain.
Design, evolve, and maintain scalable architectures based on microservices, event-driven systems, and distributed cloud environments.
Develop and maintain high-performance backend solutions using Java and related modern frameworks.
Ensure system quality, security, reliability, and performance through engineering best practices and automated testing strategies.
Act as a technical reference for engineering teams, promoting Clean Code, SOLID principles, TDD, and DDD practices.
Collaborate with architecture, product, and business teams to align technical solutions with strategic company goals.
Work with cloud platforms (especially GCP) to design and operate scalable services using tools such as Cloud Run, GKE, BigQuery, Pub/Sub, and IAM.
Contribute to CI/CD pipelines, infrastructure as code practices, and continuous improvement of delivery processes.
Support the evolution of engineering culture with a focus on innovation, automation, and modern development practices.
Participate in the design and development of AI-driven solutions, including generative AI systems and agent-based architectures.

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