Java Fullstack Developer

Universal Business Consulting Incorporated

San Francisco, CA, United States

3 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

Clean Code Principles Java (Programming Language) Artificial Intelligence Microsoft Azure Cloud Computing Software Quality Monitoring of Systems Python (Programming Language) Newrelic Software Engineering SQL Databases Grafana

+11 more

Apache Spark Spring-boot Backend Git Pyspark Kubernetes Front End Software Development New Relic (SaaS) Jenkins Databricks Microservices

Job description

We are seeking a talented Java Fullstack Developer to join our team. As a Java Fullstack Developer, you will be responsible for designing, developing, and implementing software solutions using Java, Databricks, Kubernetes, Jenkins, PySpark, Python, SQL, Git, Apache Spark, Microsoft Azure, Microservices, New Relic, and springBoot. You will work on both front-end and back-end development tasks, collaborating with cross-functional teams to create innovative solutions for our clients., * Design, develop, and implement software solutions using Java, Databricks, Kubernetes, Jenkins, PySpark, Python, SQL, Git, Apache Spark, Microsoft Azure, Microservices, New Relic, and springBoot.

Collaborate with cross-functional teams to define, design, and ship new features.
Write clean, maintainable, and efficient code.
Ensure the best possible performance, quality, and responsiveness of the applications.
Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues.
Help maintain code quality, organization, and automation.

Requirements

Strong proficiency in Java programming language.
Experience with Databricks, Kubernetes, Jenkins, PySpark, Python, SQL, Git, Apache Spark, Microsoft Azure, Microservices, New Relic, and springBoot.
Ability to work on both front-end and back-end development tasks.
Excellent communication and teamwork skills.
Experience with cloud technologies such as Azure.
Knowledge of monitoring tools like Grafana and NewRelic.
Experience with AI technologies.