Senior Software Engineer – Cloud Data Solutions

Aspenview Technology Partners•Coral Springs, FL

1d•Onsite

About The Position

As a Senior Software Engineer – Cloud Data Solutions at AspenView Technology Partners, 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. You will use APIs, event-driven architectures, AWS services, real-time authorization capabilities, and enterprise data platforms 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.

Requirements

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.
At least 6 years of experience in software development, software engineering, data engineering, or related technology disciplines.
At least 3 years of hands-on experience with Java, C#, C++, C, Python, or similar programming languages.
At least 3 years of experience working with SQL databases and data management solutions.
At least 2 years of experience developing or supporting applications within AWS, Azure, or Google Cloud Platform environments.
Experience working with APIs, microservices, and distributed application architectures.
Experience working with Snowflake, data lake technologies, or modern cloud-based data platforms.
Bilingual proficiency in English and Spanish or Portuguese.
Strong verbal and written communication skills.
Ability to collaborate effectively across multiple technology disciplines.
Must be permanently authorized to work in their country of residence and not require employment visa sponsorship now or in the future.

Nice To Haves

Relevant certifications in cloud platforms such as AWS or in data engineering.
Experience in 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 building data integration services and APIs.
Experience with event-driven ingestion patterns such as RabbitMQ, webhooks, retry, and idempotency feeding data pipelines.
Experience with API and data-validation test automation using RestAssured, Karate, and 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 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.

Responsibilities

Design, develop, test, and implement software applications supporting a cloud-native card issuing and payment processing platform.
Maintain 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.
Build event-driven data ingestion using RabbitMQ and webhooks, applying retry and idempotency patterns for reliable 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.
Support cloud-native applications deployed in AWS environments.
Monitor system and data platform performance and assist with troubleshooting production issues.
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.