Senior Systems Development Analyst, Java

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🕒 May 18

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banco BV

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1993

🛡️ Insurance

📦 Logistics

💼 Consulting

💰 Debt Financing on 2022-07

Insurance • Logistics • Consulting

banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.

📋 Description

• Senior Software Engineer for the Finance tribe; • Lead strategic technical decisions on high-complexity projects; • Design and evolve microservices- and event-driven architectures; • Act as the technical reference for the team, promoting engineering best practices; • Ensure the quality, security, and performance of developed solutions; • Collaborate with business areas and enterprise architecture to align technical solutions with strategic objectives; • Contribute to the evolution of the company's engineering culture and innovation.

🎯 Requirements

• Strong experience in backend development with Java; • Deep knowledge of GCP: Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, IAM, and others; • Experience with microservices architecture, RESTful APIs, and messaging systems (Kafka, Pub/Sub); • Engineering practices: Clean Code, SOLID, TDD, DDD, and automated testing; • Knowledge of relational and non-relational databases; • Experience with CI/CD and infrastructure as code; • Strong communication skills and technical leadership; • GCP certifications (preferred); • Java certifications (preferred); • Familiarity with other languages (Kotlin, Go) and strong proficiency in Python; • Knowledge of data platforms on GCP; • Experience with agentization of generative AI, use of LLMs and architectures such as RAG, and strong expertise in Python for backend and frontend as well as API development; • Experience with AI ecosystem frameworks (Vertex AI, OpenAI, LangChain) and building interactive applications with Streamlit, Gradio, or modern web frameworks for conversational agent interfaces.