Java Full Stack Developer

Capgemini

Toronto

On-site

CAD 70,000 - 90,000

Full time

5 hours ago
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Benefits offered by this job

Vacation days
Health coverage (medical, dental, or协调
Retirement plan
Life and disability insurance
Employee assistance program
Other local benefits

Job summary

Capgemini is seeking a senior software engineer to design and develop scalable enterprise applications leveraging Java/J2EE, Spring ecosystems, RESTful APIs, and microservices. You will work across frontend and backend stacks, implement data pipelines with Kafka, and deploy on cloud platforms using OpenShift and Azure.

A strong emphasis on scalable, robust design and modern DevOps practices is required. The role requires experience with CI/CD pipelines, Kubernetes, Docker, and data processing

Qualifications

  • Experience with Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, and databases (NoSQL/SQL).
  • 3+ years in frontend tech such as Vue/React.
  • Extensive experience with Spring Framework and microservices architecture.
  • Expertise with Big Data, Kafka, and data pipelines/ETL processes.
  • DevOps practices and tools (CI/CD with Jenkins, GitHub).
  • Cloud technologies including OpenShift and Azure; Kubernetes, Docker, and Azure DevOps.
  • Understanding of SOLID, design patterns, and functional programming concepts.
  • Nice-to-have: Fraud/Financial Analytics, Elastic Search, Snowflake, GenAI and Data Science.

Skills

Frontline collaboration
Problem solving
Communication

Tools

Java/J2EE
Spring
Spring Boot
RESTful APIs
Microservices
NoSQL/SQL
Vue
React
Scala/Java
Spring Framework
Kafka
Jenkins
GitHub
OpenShift
Azure
Kubernetes
Docker
Azure DevOps

Job description

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.

Job Description

Must have:

  • Experience and knowledge with Java, J2EE, Spring, Spring Boot, RESTful APIs, Microservices, and NoSQL/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 DevOps practices and tools, including Jenkins for continuous integration and delivery (CI/CD),Jenkins and GitHub for version control and collaboration. Proficient in CI/CD pipelines, automating deployments, and monitoring application performance.
  • Expertise in cloud technologies, including OpenShift, Microsoft Azure. Skilled in deploying, managing, and scaling applications in cloud environments, leveraging services such as Kubernetes, Docker, and Azure DevOps. 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, 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.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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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