Data Software Engineer - Plus

Job Description

Why PlayStation?

Data Software Engineer - PlayStation Plus

San Francisco, CA

As a part of Sony Interactive Entertainment (SIE), the Future Technology Group (FTG) team is leading the cloud gaming revolution, putting console-quality video games on any device!

As a Data Engineer on the FTG Data Engineering team you will play a key role in the design and development of server-side applications for shaping, handling and redefining data on a large geographically distributed infrastructure for FTG.

You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies and state-of-the art technology to accredit data-driven decisions to the company.

Who are you?
• You enjoy working in a fast-paced environment, always chasing for the latest innovative technology
• You have strong communication and documentation skills
• You strongly value ideas exchange and technical conversation with your colleagues, but you are able to work independently and remotely most of the time
• You prefer to have full accountability and decisional space on how to approach a problem, only working according to its vision and business objective
• You value contribution to the open-source community through blog posts and articles as well as source code and artifacts
• These values resonate to you: Innovation, Inclusion, Iteration, Customer-centricity, Utmost ownership, Collaboration, Results drive, Accepting failure, Work-life balance

What do you know?
• Degree in Computer Science, or a related quantitative field
• At least 2 years of experience with any JVM language such as Java or Kotlin
• Experience with Apache Kafka
• Knowledge of Web technologies including REST, JSON, gRPC, and WebSockets
• Familiarity with software development tools and processes like Git and CI/CD (Gitlab, Jenkins)
• The following requirements are a plus:
• Experience with AWS stack
• Strong understanding of concepts such as concurrency, parallelism, and event driven architecture
• Skilled in designing microservices
• Experience or background in Machine Learning projects
• Knowledge in NoSQL, Docker, Kubernetes, Prometheus, Consul, ElasticSearch, Kibana, and other CNCF technologies
• Experience on large data stream processing or batch processing technologies such as Apache Flink, Apache Spark and Apache Hadoop
• Knowledge of serializers across different formats (Avro, Protobuf)
• Skills related to handle a data lake on AWS (S3, Athena, Quicksight, Kinesis, Glue Services, Lambda / StepFunctions)
• Experience with Kubernetes

What will you do?
• Liaise with product domain teams to help them consume and produce data instantaneously
• Identify their needs and design distributed architectures to support their data products
• Build data structures to enable analysts to discover and communicate information
• Shape solutions to ensure the privacy and security of our players' data
• Contribute in building a data catalog making wisdom accessible throughout the organization
• Implement, measure and coordinate reliability for the services you will provide
• Understand, recommend and improve ETL and ETL pipelines and help develop new pipelines with streaming frameworks
• Design complete or parts of data pipelines taking scale, performance, security, usability under consideration

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Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Jobcode: Reference SBJ-gkpybp-18-188-175-182-42 in your application.