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# Full Stack Software Engineer

- **Company:** Fint Solutions Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Cloud Computing, Continuous Integration, Information Engineering, Data Infrastructure, Database Applications, DevOps, Github, Python (Programming Language), Software Engineering, SQL Databases, TypeScript, ReactJS, Snowflake, Apache Spark, Backend, Event Driven Architecture, Containerization, AngularJS, Kubernetes, Apache Flink, Apache Kafka, Graphql, Data Management, Front End Software Development, Api Gateway, Restful APIs, Data Pipelines, Docker, Jenkins, Databricks, Microservices
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/9dbd3cb5-f131-4a70-a753-3a1d56b3483b

## About the Role

We are seeking a Senior Full Stack Software Engineer with strong experience in building and supporting scalable production applications. The ideal candidate will have expertise in full-stack development, cloud technologies, APIs, microservices, and CI/CD, along with exposure to data platforms and data engineering concepts., * Java, Python, TypeScript/JavaScript

 * React or Angular
 * REST APIs, GraphQL, Microservices
 * AWS (Lambda, ECS/EKS, S3, API Gateway)
 * Docker, Kubernetes
 * CI/CD, Jenkins, GitHub Actions, DevOps
 * Kafka, Spark, Flink, Data Pipelines
 * SQL, Data Modeling, Snowflake, Databricks, * 12+years of software engineering experience.
 * Strong full-stack development experience with modern frontend and backend frameworks.
 * Experience with cloud platforms, DevOps, and data platform technologies.
 * Ability to own solutions from design through production support.

## Description

* Design, develop, deploy, and maintain full-stack applications.
 * Build scalable APIs, microservices, and cloud-native solutions.
 * Develop and maintain CI/CD pipelines and DevOps practices.
 * Work with AWS services and containerized applications.
 * Collaborate with data teams to build and integrate data-driven applications.
 * Implement event-driven architectures using Kafka or similar technologies.


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