Java Full Stack Developer

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.

Must have:

• Experience and knowledge with Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, and No
  
  SQL/SQL databases.
• 3+ in front end tech such as Vue / React
• Extensive experience in developing and maintaining applications using Scala/Java. Proficient in building scalable and robust applications using Spring Framework (Spring Core, Spring MVC, Spring Data, Spring Security) and Spring Boot for microservices architecture. Expertise in designing and implementing RESTful APIs and integrating them with various back-end systems. Skilled in developing and deploying microservices with a focus on high availability, fault tolerance, and scalability.
• Expertise in working with Big Data technologies, including large-scale data processing, and Kafka for real-time data streaming and event-driven architectures. Skilled in designing and implementing data pipelines and ETL processes for large-scale data ingestion and transformation.
• Experience with Dev Ops practices and tools, including Jenkins for continuous integration and delivery (CI/CD),Jenkins and Git Hub for version control and collaboration. Proficient in CI/CD pipelines, automating deployments, and monitoring application performance.
• Expertise in cloud technologies, including Open Shift, Microsoft Azure. Skilled in deploying, managing, and scaling applications in cloud environments, leveraging services such as Kubernetes, Docker, and Azure Dev Ops. Experienced in designing cloud-native applications and implementation.
• In-depth understanding of object-oriented design principles, including SOLID principles, design patterns, and best practices for building maintainable and reusable code. Proficient in functional programming paradigms, including immutability, higher-order functions, and lambda expressions, with a focus on writing clean, efficient, and testable code.

Nice-to-have: ****

• Background working in Fraud/Financial Analytics
• Elastic Search, Snowflake
• GenAI and Data Science experience"

The base compensation range for this role in the posted location is: 70,000 to 90,000

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.

• Paid time off based on employee grade (A-F), defined by policy:
  Vacation: 12-25 days,…