Job Description
- Full stack software engineering 8+ years of experience; with a focus in digital applications is a plus.
- Experience in leading teams in technology and full stack solutions.
- Knowledge of modern application architecture patterns and emerging technologies, including common design patterns, secure
- application development, and test coverage.
- Passion for designing and delivering the best end user journeys.
- Expertise in delivering front-end solutions and mid-tier services.
- Demonstrated experience in communicating technical needs and capabilities to non-technical team members, product owners, and partners
- Experience collaborating in a team environment to develop, deploy, and support key applications and features
- A proven understanding of the Agile software development methodology
- Extensive experience decomposing sophisticated business problems into creative, efficient, and scalable solutions
The Skills You Bring
Technical Skills
- Relevant knowledge of modern application architecture patterns and emerging technologies
- Detailed experience with modern SPA JavaScript frameworks (Angular, Vue, React JS), preference for Angular
- Extensive experience in Java / Spring boot / Spring Core / Web Services (REST) / Kubernetes orchestration
- General experience of Api management using Swagger and OpenAPI with knowledge in Integration Technology Java Camel
- Client-side language, library, and framework proficiency: Angular, JavaScript/TypeScript, Node, NPM, HTML, CSS/SASS, RxJS, Jasmine/Karma/Storybook/Playwright , Experience working in Monorepo is a plus
- Appreciation for and alignment to standard methodologies regarding object-oriented design, coding standards, RESTful service
- consumption and integration, common design patterns, secure application development, and test coverage
- Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools - Jenkins Core, Maven and maintenance of pipelines.
- Expert understanding of docker, cloud-computing / cloud services platforms. With AWS being favorable.
- Knowledge of SRE concepts and tooling such as Datadog / Splunk
- Exposure to AI tools and usage of them in advancing development practices
The base compensation range for this role in the posted location is 67733 - 92811
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
