PlayStation Global
Senior Software Engineer, ML Platform
PlayStation Global, San Diego, California, United States, 92189
Senior Software Engineer, ML Platform – D2C – SPOC
United States, Remote; United States, San Diego, CA; United States, San Mateo, CA
Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly‑owned subsidiary of Sony Group Corporation.
Who We Are At Sony Interactive Entertainment (SIE) PlayStation, we create unforgettable gaming experiences—and we’re equally dedicated to building a world‑class team. As a leader in interactive entertainment, PlayStation operates at massive scale, supporting millions of players worldwide and processing billions of transactions annually across our digital ecosystem.
OurStore Publishing Operations & Commerce (SPOC) team is responsible for ensuring trust, security, and seamless transactions across PlayStation’s digital store. We provide data‑driven solutions to support platform services, customer experience, payments, fraud prevention, and risk management. Using advanced analytics and machine learning/AI, we help protect the commerce ecosystem, facilitate business growth, and optimize player experiences.
About the Role This position is a hands‑on engineering role with a broad range of responsibilities, from evolving and supporting real‑time machine learning/AI pipelines to building low‑latency, high‑throughput systems. You should be well‑versed in running applications at internet scale on modern cloud architectures (e.g., AWS). If you’re a software engineer with a strong interest in large‑scale machine learning projects, experimentation, automation, or real‑time risk mitigation, we’d love to connect with you.
Key Responsibilities
Create Cloud Solutions : Design and implement cloud solutions using AWS to ensure high performance, scalability, and reliability.
ML/AI Pipeline : Build and enhance ML/AI pipelines in partnership with Data Science to support automation, experimentation, continuous integration/delivery, verification/validation, and model monitoring.
Core Infrastructure Development : Develop and maintain core infrastructure for data streaming and processing, applying industry standards and innovative solutions.
Service Availability : Guarantee high levels of service availability through being a part of an on‑call rotation, following best practices for disaster recovery and business continuity.
Qualifications and Education Requirements
Educational Background : Bachelor’s degree with 5 years of related experience.
Coding Proficiency : Demonstrated experience building reliable software with Java or/and Python.
Cloud Competency : Proficiency with common AWS services (EKS/ECS, Kinesis, Lambda, DynamoDB) or their cloud equivalent.
Systems Monitoring and Analytics : Experience with systems monitoring, alerting, and analytics tools like Datadog, Splunk, or AWS CloudTrail.
Communication Skills : Strong communication skills to collaborate with multi‑functional teams.
Preferred Skills
Streaming or SQL at scale : Hands‑on with high‑volume event pipelines (Kinesis/Kafka/ActiveMQ) and/or SQL over large datasets.
Data Science & Machine Learning : Exposure to Data Science and Machine Learning.
We sincerely appreciate the time and effort you’ve spent contacting us, and we thank you for your interest in PlayStation.
#J-18808-Ljbffr
Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly‑owned subsidiary of Sony Group Corporation.
Who We Are At Sony Interactive Entertainment (SIE) PlayStation, we create unforgettable gaming experiences—and we’re equally dedicated to building a world‑class team. As a leader in interactive entertainment, PlayStation operates at massive scale, supporting millions of players worldwide and processing billions of transactions annually across our digital ecosystem.
OurStore Publishing Operations & Commerce (SPOC) team is responsible for ensuring trust, security, and seamless transactions across PlayStation’s digital store. We provide data‑driven solutions to support platform services, customer experience, payments, fraud prevention, and risk management. Using advanced analytics and machine learning/AI, we help protect the commerce ecosystem, facilitate business growth, and optimize player experiences.
About the Role This position is a hands‑on engineering role with a broad range of responsibilities, from evolving and supporting real‑time machine learning/AI pipelines to building low‑latency, high‑throughput systems. You should be well‑versed in running applications at internet scale on modern cloud architectures (e.g., AWS). If you’re a software engineer with a strong interest in large‑scale machine learning projects, experimentation, automation, or real‑time risk mitigation, we’d love to connect with you.
Key Responsibilities
Create Cloud Solutions : Design and implement cloud solutions using AWS to ensure high performance, scalability, and reliability.
ML/AI Pipeline : Build and enhance ML/AI pipelines in partnership with Data Science to support automation, experimentation, continuous integration/delivery, verification/validation, and model monitoring.
Core Infrastructure Development : Develop and maintain core infrastructure for data streaming and processing, applying industry standards and innovative solutions.
Service Availability : Guarantee high levels of service availability through being a part of an on‑call rotation, following best practices for disaster recovery and business continuity.
Qualifications and Education Requirements
Educational Background : Bachelor’s degree with 5 years of related experience.
Coding Proficiency : Demonstrated experience building reliable software with Java or/and Python.
Cloud Competency : Proficiency with common AWS services (EKS/ECS, Kinesis, Lambda, DynamoDB) or their cloud equivalent.
Systems Monitoring and Analytics : Experience with systems monitoring, alerting, and analytics tools like Datadog, Splunk, or AWS CloudTrail.
Communication Skills : Strong communication skills to collaborate with multi‑functional teams.
Preferred Skills
Streaming or SQL at scale : Hands‑on with high‑volume event pipelines (Kinesis/Kafka/ActiveMQ) and/or SQL over large datasets.
Data Science & Machine Learning : Exposure to Data Science and Machine Learning.
We sincerely appreciate the time and effort you’ve spent contacting us, and we thank you for your interest in PlayStation.
#J-18808-Ljbffr