Full Stack Software Engineer

Fint Solutions Inc.

United States

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+24 more

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

Job 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.

Requirements

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, * 10+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.