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Fullstack Java Consultant

Apolis · San Jose, CA · Onsite

100100

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Fullstack Java Consultant at Apolis. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Role

Fullstack Java Consultant

Location

Must be able to work onsite in Pleasanton, CA. (5 Days)

Duration

6+ Months

Only W2

Responsibilities

Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.

Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.

Will be responsible for creating maintainable, adaptable, scalable, defect-free code using software development best practices and coding standards (i.e. software reuse, refactoring, continuous integration, test automation, secure development, Test Driven Development, static code analysis, peer/code review).

Design and develop key application components such as Java, Javascript, Angular, HTML, Spring, Node.js, MySQL, MongoDB, GitHub, Docker, Identify & Access Management (IAM)

Qualifications

Required

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

7+ years’ experience working as a Java Full Stack Developer creating maintainable, adaptable, scalable, defect-free code using software development best practices and coding standards.

7+ years’ experience of JavaScript, Angular, and HTML

7+ years’ experience of experience with Spring, Node.js, MySQL

7+ years’ experience of experience with MongoDB, GitHub, Docker, and Identify & Access Management (IAM)

Ability to understand and implement solutions which include AI LLM models and the architect the lifecycle of applications following AI governance

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