Java Developer

Skill: Java, Springboot, Airflow, Scala and Spark, AWS

Notes: Candidates must be local to the SF, LA, or Seattle hubs. Work will likely be done remotely, but candidates are good with being in the office for 4 days if that changes. Long Term Opp: possibility for ext or conversion Tech Stack: Java, Springboot, Airflow, Scala and Spark, AWS

Description/Comment:

Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs

Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test Chip in ground-breaking innovation and apply the state-of-the-art technologies

As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing.

Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment

Basic Qualifications: Bachelor or above in computer science or EE 4+ years of professional programming in Java, Scala, Python, etc. 3+ years of big data development experience with technical stacks like Spark, Hive, Singlestore, Kafka, and AWS big data technologies. Knowledge of system, application design and architecture Experience of build industry level high available and scalable service Passion about technologies, and openness to interdisciplinary work

Preferred Qualifications : Experience with processing large amount of data at petabyte level. Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, etc. Experience in widely used Sprint framework and Web framework (React.js, Vue.js, Angular, etc.) and good knowledge of Web stack HTML, CSS, Webpack