Staff Software Engineer – Data

Why Sony Interactive Entertainment

Sony Interactive Entertainment isnt just the Best Place to Play its also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation were part of a proud legacy of innovation and excellence. SIE is a dynamic technology company delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand a name synonymous with entertainment excellence and creativity.

PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5 PlayStation4 PlayStationVR PlayStationPlus 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 Corporation.

Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation As part of our Data Platform team you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP) enabling high-throughput low-latency analytics and stream processing at PlayStation scale.

The Software Engineers within our Platform Engineering Group design build document and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges evolve our streaming and analytics architecture integrate AI-powered platform capabilities and improve scalability reliability performance and developer productivity.

Were looking for someone who is passionate about distributed systems real-time analytics and building scalable data platforms. You will work closely with Engineering Product Infrastructure Security and Data Engineering teams to shape technical strategy influence architecture across organizations mentor engineers and help drive the long-term evolution of PlayStations data platform.

Design build and operate large-scale distributed data systems that power real-time and near real-time analytics and data-driven applications across PlayStation.

Lead the architecture and evolution of RTAPs stream processing and analytics platforms improving scalability reliability performance and developer productivity.

Own critical platform capabilities end-to-end from architecture and implementation through production operations performance optimization reliability and lifecycle management.

Build and optimize distributed data services using technologies such as Apache Flink Spark Structured Streaming ClickHouse and Apache Druid to support high-throughput low-latency workloads.

Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable scalable data platforms.

Build AI-powered capabilities to automate engineering workflows improve data quality simplify platform operations accelerate troubleshooting and enhance developer productivity.

Establish technical standards and engineering best practices for distributed systems stream processing data modeling query optimization and platform reliability.

Mentor engineers across the organization by reviewing architecture designs and code while raising the technical bar through coaching and technical leadership.

Partner with Product Infrastructure Security and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.

Investigate and resolve complex production challenges involving high-throughput low-latency distributed systems ensuring high availability and operational excellence.

Participate in the teams production support and on-call rotation leading incident response conducting root-cause analysis and implementing reliability improvements that strengthen the platform over time

Evaluate emerging technologies and distributed data platforms recommending investments that improve scalability reliability developer productivity and cost efficiency.

Bachelors degree in Computer Science Engineering or a related technical field or equivalent practical experience.

8 years of experience designing and building large-scale distributed systems with expertise in real-time data processing analytics or data platform engineering.

Strong proficiency in Python with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components.

Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink Apache Spark Structured Streaming or equivalent distributed streaming technologies.

Production experience designing operating and optimizing distributed analytics platforms using ClickHouse Apache Druid or equivalent high-performance OLAP/analytics databases including query optimization data modeling and performance tuning at scale.

Experience building and consuming event-driven data pipelines using AWS MSK Apache Kafka or equivalent messaging platforms with a focus on developing reliable scalable data processing applications.

Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows improve data pipelines simplify platform operations and enhance developer productivity.

Strong systems design skills with the ability to evaluate architectural trade-offs across scalability latency throughput consistency reliability and cost.

Demonstrated technical leadership through architecture ownership mentoring engineers and influencing technical decisions across multiple teams.

Experience with Databricks Apache Iceberg or modern lakehouse architectures with the ability to design and integrate batch and streaming workloads into scalable production-grade data platforms.

Experience building or operating multi-tenant self-service data platforms supporting multiple engineering organizations.

Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.

Your First 90 Days

30 Days: Develop a strong understanding of the platforms architecture capabilities engineering practices and contributing to architecture discussions feature development design reviews and production relationships within the team as well as across the Data Platform organization.

60 Days: Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability performance reliability or developer with Data Engineering Infrastructure Product and other partner teams on cross-platform initiatives.

90 Days: Lead the design and delivery of key roadmap initiatives for the technical direction across teams and mentor engineers on distributed systems and platform engineering best clear architectural recommendations for the next phase of the platforms evolution.

In 90 days you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStations broader data ecosystem. You will be comfortable owning complex distributed systems initiatives partnering closely with Product and Engineering teams and driving large-scale solutions from architecture through production delivery.

Please note Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect how we use it who we share it with and your data protection rights.

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 maternity or parental status 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.

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