Analista de Desenvolvimento de Sistemas Java SR

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Analista de Desenvolvimento de Sistemas Java SR in Brazil.

This senior technical role sits within a high-impact finance-focused engineering team responsible for designing, building, and evolving mission-critical systems. You will play a key role in shaping backend architectures based on microservices, event-driven systems, and modern cloud-native patterns. The position involves strong technical leadership, guiding engineering decisions in complex projects and acting as a reference for best practices across the team. You will collaborate closely with business areas and enterprise architecture to ensure solutions align with strategic objectives. The environment is highly innovative, cloud-first, and focused on scalability, performance, and security. In addition to hands-on development, you will contribute to engineering culture evolution and the adoption of modern technologies, including AI-driven solutions. This is an opportunity for a senior engineer passionate about architecture, leadership, and cutting-edge cloud and AI ecosystems.

• 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.

Requirements

• 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.
• Certifications in GCP and/or Java are considered a plus.

Benefits

• Competitive compensation package aligned with senior-level market standards.
• Flexible and remote-friendly work environment depending on team and project needs.
• Health, dental, and wellness benefits (varies by local policies).
• Access to cloud, AI, and modern engineering technologies in a cutting-edge environment.
• Continuous learning support, including certifications, training, and professional development programs.
• Opportunity to work on high-impact financial systems and innovative AI-driven solutions.
• Career growth opportunities in a large-scale, technology-driven organization.
• Collaborative and innovation-oriented engineering culture.