
1001 - 5000 employees
Founded 1996
💼 Consulting
💳 Fintech
🏦 Banking
💰 Post-IPO Secondary on 2015-05
Consulting • Fintech • Banking
Sinqia is a technology company focused on providing complete digital platforms for financial institutions and fintechs. Their solutions encompass core banking, custody management, digital onboarding, and regulatory compliance, facilitating the transformation and innovation within the financial services sector. With a commitment to accelerating financial innovation, Sinqia processes a significant volume of financial transactions daily, serving as a technological backbone for both traditional banks and emerging fintech startups.
🔥 3 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
Azure
Cloud
Docker
Google Cloud Platform
Java
Jenkins
Kafka
Kubernetes
MongoDB
MySQL
NoSQL
Postgres
RabbitMQ
Redis
Spring
Spring Boot
SpringBoot
Where this job comes from
Posted on Sinqia's careers page, not through a job board
First seen by Remote Rocketship 3 minutes ago

1001 - 5000 employees
Founded 1996
💼 Consulting
💳 Fintech
🏦 Banking
💰 Post-IPO Secondary on 2015-05
Consulting • Fintech • Banking
Sinqia is a technology company focused on providing complete digital platforms for financial institutions and fintechs. Their solutions encompass core banking, custody management, digital onboarding, and regulatory compliance, facilitating the transformation and innovation within the financial services sector. With a commitment to accelerating financial innovation, Sinqia processes a significant volume of financial transactions daily, serving as a technological backbone for both traditional banks and emerging fintech startups.
• Design, develop, and implement robust, scalable software solutions using Java • Develop, optimize, and maintain robust, scalable RESTful APIs • Design and implement microservices-based solutions • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions • Resolve complex performance and security issues • Conduct code reviews, identify improvements, and ensure coding standards • Collaborate with software architects to define standards and best practices • Support and mentor junior and mid-level developers • Identify opportunities to apply AI to products, processes, and internal workflows • Ensure best practices in security, observability, performance, and scalability • Promote software development and engineering standards • Contribute to the advancement of engineering maturity, automation, and the responsible use of Artificial Intelligence across the organization
• Strong experience in Java development (Java 8+; Java 11 or later) • Advanced proficiency in the Spring Framework ecosystem (Spring Boot, Spring Data, Spring Security, Spring Cloud) • Experience developing and maintaining RESTful APIs • Advanced knowledge of microservices architecture • Experience with integration patterns and asynchronous communication • Knowledge of event-driven architecture • Experience with relational databases (PostgreSQL, MySQL, or similar) • Experience with NoSQL databases (MongoDB, Redis, or similar) • Knowledge of data modeling and query optimization • Experience with Kafka, RabbitMQ, or equivalent technologies • Knowledge of integration between enterprise systems and external APIs • Experience with Docker and Kubernetes • Knowledge of CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or similar tools • Experience with monitoring, observability, and troubleshooting in production environments • Knowledge of cloud platforms (AWS, Azure, or GCP) • Experience with unit, integration, and automated testing • Knowledge of Clean Code, SOLID, Design Patterns, and Clean Architecture • Experience with code reviews and software engineering practices • Hands-on experience using AI tools to support the software development lifecycle • Ability to use AI for requirements analysis and refinement, solution modeling, code generation and review, test creation and automation, technical documentation, and analysis of technical impacts and risks • Knowledge of integration with generative AI APIs and services • Ability to critically evaluate AI-generated responses, ensuring quality, security, and alignment with business needs • Strong verbal and written communication skills • Ability to translate technical concepts for non-technical audiences • Ability to lead discussions with business, product, and technology teams • Strong negotiation and expectation-management skills • Ability to understand strategic objectives and translate them into technology solutions • Customer- and business-value-oriented mindset • Critical thinking for evaluating risks, impacts, and opportunities • Ability to influence decisions without relying on formal authority • Act as a technical reference within the team
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