Java Developer V

ACL Digital-posted 9 months ago

Senior

San Jose, CA

1,001-5,000 employees

Professional, Scientific, and Technical Services

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The position is for a Java Developer V, requiring two headcounts: one for Front-end Application Development and another for back-end Automation Application Development. The role is based in San Jose, CA and is onsite. The developers will be responsible for conceptualizing, designing, and implementing sophisticated, multi-tier distributed software systems across all stages of the software development life cycle.

Conceptualize, design, and implement sophisticated, multi-tier distributed software systems across all stages of the software development life cycle.
Drive new and existing product initiatives, influencing the direction of product development.
Take ownership of projects, collaborating with technical and business leaders to craft innovative yet straightforward solutions for complex business challenges.
Define technical strategy, vision, and roadmaps for the team.
Estimate engineering efforts, plan implementations, and execute rollouts for complex fee computation and charging systems.
Innovate to address complex technical challenges related to scale and performance.
Collaborate effectively, influencing peers, juniors, and seniors within the organization and across client.
Independently lead the development of products from conception through design, development, and deployment.

7+ years of experience in software design and development, with a solid foundation in computer science, including strong competencies in data structures, algorithms, and software design.
Proficiency in object-oriented design methodology and large-scale application development, particularly in Java or similar object-oriented languages.
Deep understanding of distributed systems, service-oriented architecture, and web services, including standards like REST/JSON.
Strong relational database and SQL development skills.
Agile development experience.
Self-motivated and quick learner.
Excellent communication, presentation, interpersonal, and analytical skills.
Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.

Familiarity with large-scale data analysis and the ability to build machine learning models for forecasting and prediction.
Experience with Node.js, React.js, and JavaScript.

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