Software Engineer

Job Description

Sony Interactive Entertainment's (SIE) Global Payment and Fraud Management (GPFM) teams are the guardians of both customer trust and purchase success for PlayStation and the PlayStation Network (PSN). We provide innovative solutions to support every element of the network, various platform services, customer service teams, a diverse developer community, and more.

GPFM runs a next generation risk platform and machine learning framework that support the global, fast growing PlayStation Network customer base, world class PlayStation consoles, and network entertainment services such as PlayStation Plus and PlayStation Now. In doing so, the ability to extract information from data and drive action that help achieve business goals is essential. GPFM's data science team is responsible for evaluating online user activity data for potential fraud and revenue optimization across this platform. We are looking for an engineer to join our GPFM team to support this data science platform.

The position is a hands-on engineering role with a wide range of responsibilities to evolve and support a machine learning pipeline, with a specific focus on the data preparation/movement part of the pipeline. You should be intimately familiar with running applications at scale on modern cloud architectures (such as AWS), using containerized and serverless workflows. You must be a self-motivated individual and take pride in delivering high-quality work within a fast-paced, dynamic environment.

Responsibilities
• Create, deploy, and maintain cloud solutions using AWS
• Build core infrastructure around data streaming and enhancement
• Build and enhance our machine learning pipeline to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of ML models
• Ensure all work is deployed in an automated, repeatable fashion
• Ensure highest levels of service availability

Qualifications and Education Requirements:
• Bachelor's degree and 5 years of related experience
• Demonstrated experience with Java and Python
• Competency with most common AWS Services - EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, SQS, and more
• Knowledge in systems monitoring, alerting and analytics including using tools such as DataDog, Splunk, New Relic, AWS CloudTrail, etc.
• General knowledge in Linux
• Strong communication abilities to work with cross functional teams
• Experience with orchestration and management of containers using Kubernetes or similar.

Preferred Skills:
• AWS Certification
• Basic Knowledge of Data Science/Machine Learning pipelines
• Experience with Streams/Queues at internet scale – Kinesis/Kafka/ActiveMQ/SQS
• Experience successfully implementing data pipelines

Jobcode: Reference SBJ-g6pw2n-18-118-227-69-42 in your application.