Senior Software Engineer – Cloud Data Solutions

About the Role

As a Senior Software Engineer – Cloud Data Solutions, you will contribute to the development and support of a next-generation, cloud-native card issuing and payment processing platform built on microservices, APIs, and event-driven architecture. Leveraging APIs, event-driven architectures, AWS services, real-time authorization capabilities, and enterprise data platforms, you will serve as a technical resource for application development, data integration, analytics enablement, and client implementations, helping deliver reliable software solutions for partners across LATAM.

This is a full-time, individual-contributor role. The position is fully onsite in Coral Springs, Florida, Monday through Friday.

What You Will Do

Software Development & Delivery

• Design, develop, test, and implement software applications supporting a cloud-native card issuing and payment processing platform.
• Ensure high standards for coding, testing, debugging, performance, security, and application reliability.
• Participate in code reviews to ensure adherence to coding standards, security requirements, and engineering best practices.

Data Engineering & Pipelines

• Build event-driven data ingestion (RabbitMQ, webhooks) applying retry and idempotency patterns to ensure reliable, exactly-once processing.
• Design, build, and maintain data pipelines supporting enterprise data lake and analytics initiatives.
• Support ingestion, transformation, and integration of large-volume data sets across multiple platforms and applications.
• Develop and support Snowflake-based solutions for data storage, transformation, and consumption.
• Build API and data-validation test automation using RestAssured, Karate, and Postman/Newman.

Cloud & Production Support

• Support cloud-native applications deployed within AWS environments.
• Monitor system and data platform performance and assist with troubleshooting production issues.

Collaboration

• Collaborate with data engineering and analytics teams to optimize data processing, accessibility, and reporting capabilities.
• Partner with clients and internal teams during implementations, upgrades, migrations, and production support activities.

What You Bring

Education

• Bachelor’s degree in Information Technology, Computer Science, Engineering, Data Science, or a related field, or an equivalent combination of education, professional experience, and/or military experience.

Experience

• 6+ years of experience in software development, software engineering, data engineering, or related technology disciplines.
• 3+ years of hands-on experience with Java, C#, C++, C, Python, or similar programming languages.
• 3+ years of experience working with SQL databases and data management solutions.
• 2+ years of experience developing or supporting applications within AWS, Azure, or Google Cloud Platform (GCP) environments.

Technical Expertise

• Experience working with APIs, microservices, and distributed application architectures.
• Experience working with Snowflake, Data Lake technologies, or modern cloud-based data platforms.

Languages

• Bilingual proficiency in English and Spanish or Portuguese.

Certifications

• No certifications are required for this role. Relevant certifications in cloud platforms (e.g., AWS) or data engineering are considered an asset.

Soft Skills

• Strong verbal and written communication skills.
• Ability to collaborate effectively across multiple technology disciplines.

Nice to Have

• Experience within financial services, payments, banking, or fintech environments.
• Experience with cloud-native architectures, event-driven systems, APIs, and real-time transaction processing platforms.
• Java/Spring Boot experience for building data integration services and APIs.
• Experience with event-driven ingestion patterns (RabbitMQ, webhooks, retry/idempotency) feeding data pipelines.
• API and data-validation test automation (RestAssured, Karate, Postman/Newman).
• Ability to write technical specifications for data integrations and pipelines.
• Experience applying promotion criteria that include data-quality gates beyond code quality.
• Hands-on use of AI tools, including AI/ML-enabled data and analytics use cases, with real production examples.
• Familiarity with running or deploying data workloads on Kubernetes or Red Hat OpenShift.
• Experience with Snowflake features including data sharing, Snowpark, Streams, Tasks, and performance optimization.
• Experience in designing and supporting enterprise data lakes within AWS environments.
• Experience with AWS data services such as S3, Glue, Lambda, Athena, Redshift, EMR, or related technologies.
• Familiarity with large-scale card processing platforms.