Full stack Developer (Java - React JS)

Capgemini
Chicago, IL, United States
about 1 month ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$79,331.0 - $123,947.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Airflow Amazon Web Services Automation of Tests Big Data Cloud Computing Cloud Database Software Quality Code Review Continuous Integration
+31 more
Information Engineering Data Governance Extract Transform Load (ETL) Data Systems Cursor (Graphical User Interface Elements) Programming Tools Distributed Computing Environment Python (Programming Language) Software Tools Software Engineering Strategies of Testing TypeScript Web Application Frameworks Workflow Management Systems Software Organization Data Processing Enterprise Software Applications Cloud Platform System Data Ingestion GitHub Copilot ReactJS Snowflake Apache Spark Spring-boot Backend Data Management Front End Software Development Restful APIs GPT Data Pipelines Microservices

Job description

Chicago, IL, United States (On-site) Contract (4 months 22 days) Published 16 hours ago Snowflake Java Development agile methodologies Security Platforms DevOps & CI/CD Typescript /Javascript microservices architecture HTML / CSS production support spring boot framework

The ideal candidate will possess strong backend engineering expertise, hands-on frontend development experience, and the ability to build and maintain modern data pipelines. This role requires a collaborative engineer who can leverage AI-assisted development tools to improve productivity and software quality., * Design, develop, and maintain scalable backend services and RESTful APIs using Java and Spring Boot.

  • Build and support microservices-based architectures in cloud-native environments.
  • Develop responsive and user-friendly frontend applications using React and TypeScript.
  • Design, build, and optimize data ingestion, transformation, and processing pipelines using Python.
  • Develop and maintain workflow orchestration solutions using Apache Airflow.
  • Implement large-scale data processing solutions using Apache Spark.
  • Build and manage data solutions leveraging Snowflake and modern cloud data platforms.
  • Collaborate with product, architecture, and engineering teams to deliver end-to-end solutions.
  • software engineering best practices including automated testing, code reviews, CI/CD, and observability.
  • Utilize AI-powered development tools to improve code quality, productivity, testing, and delivery outcomes.
  • Troubleshoot, optimize, and support production applications and data pipelines., * Java
  • Spring Boot
  • REST APIs
  • Microservices

Frontend:

  • React
  • TypeScript
  • HTML/CSS
  • Modern JavaScript frameworks

Data Engineering:

  • Python
  • ETL Development
  • Apache Airflow
  • Apache Spark
  • Snowflake

Engineering Practices:

  • CI/CD
  • Automated Testing
  • Agile Development
  • AI-Assisted Development Tools

Requirements

  • Strong experience in Java and Spring Boot application development.
  • Proven experience designing and developing REST APIs and microservices.
  • Hands-on experience with React and TypeScript for frontend development.
  • Experience building ETL/data processing solutions using Python.
  • Working knowledge of Apache Airflow for workflow orchestration.
  • Experience with Apache Spark for distributed data processing.
  • Experience with Snowflake or comparable cloud data warehousing platforms.
  • Strong understanding of modern software development practices, including testing, CI/CD, and agile methodologies.
  • Experience working with AI-assisted engineering tools (e.g., GitHub Copilot, ChatGPT, Cursor, Codeium, or similar) within the software development lifecycle.
  • Strong problem-solving, communication, and collaboration skills., * Experience in privacy, security, or data governance platforms.
  • Experience with mutation testing, automated quality engineering practices, and test strategy improvements.
  • Experience working in cloud environments (AWS preferred).
  • Exposure to platform modernization and large-scale enterprise applications.

Benefits & conditions

The pay range that the employer in good faith reasonably expects to pay for this position is $38.14/hour - $59.59/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:06 min

Developer experience and project variety at scale

Alexandra Petri · World Congress 2023

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

4:36 min

Hiring passionate software engineers to tackle unprecedented scaling challenges

Dana Lawson Dana Lawson +1 · World Congress 2026 Europe

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · World Congress 2025

Videos

See all

Related articles

See all