JavaFullStack_Developer

Capgemini
United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$80,000.0 - $96,655.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Application Lifecycle Management Unit Testing Software Quality Code Review Continuous Integration Github Junit Python (Programming Language) PostgreSQL
+19 more
Scrum Methodology Markdown Software Deployment Software Quality Assurance (SQA) Software Testing Automation Framework Web Applications Spring Cloud GitHub Copilot Spring-boot Generative AI AngularJS Kubernetes Deployment Automation Playwright Terraform GPT Software Version Control Docker Jenkins

Job description

  • Design, develop, and maintain enterprise APIs and web applications using Java, Spring Boot, Python, Angular, and Generative AI technologies.
  • Develop and deploy cloud-native applications on AWS.
  • Build and maintain automated testing frameworks using Playwright, JUnit, and other QA tools.
  • Implement containerized solutions using Docker and Kubernetes.
  • Manage infrastructure and deployments using Terraform and AWS services.
  • Develop and maintain CI/CD pipelines using Jenkins and related automation tools.
  • Utilize AI-assisted development tools to enhance development efficiency and software quality.
  • Collaborate with cross-functional teams within an Agile Scrum environment to deliver high-quality solutions.
  • Participate in code reviews, source control management, and pull request processes.
  • Provide technical leadership, mentorship, and guidance to engineering teams.

Requirements

  • 7+ years of full-stack software development experience building enterprise APIs and web applications using Core Java, Spring Boot, Python, Generative AI, and Angular.
  • Strong experience with Java, Spring Boot, Python, AWS Cloud, Playwright, JUnit, Markdown, Generative AI, Angular, PostgreSQL, and Quality Assurance (QA)/testing.
  • Leadership experience with the ability to guide, encourage, and motivate fellow engineers.
  • Experience working in an Agile Scrum development environment.
  • Hands-on experience with Docker, Kubernetes, Terraform, and AWS cloud deployment/application management.
  • Experience with unit testing and test automation frameworks, libraries, and strategies.
  • Experience leveraging AI-assisted development tools such as GitHub Copilot and ChatGPT to improve engineering productivity and code quality.
  • Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Jenkins.
  • Experience using source control and pull request workflows for collaborative development in repositories such as GitHub.
  • Strong communication, analytical, and problem-solving skills.

Benefits & conditions

The base compensation range for this role in the posted location is: 80,000 to 96,655

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About the company

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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