Sony Playstation
Senior Software Engineer - Platform Data
Sony Playstation, San Diego, California, United States, 92189
Overview
Ready to take your career to the next level? Join PlayStation as a Senior Software Engineer - Platform Data and be a key player in driving innovation in the dynamic field of interactive entertainment. You’ll collaborate with an elite engineering team dedicated to crafting seamless, scalable experiences for a worldwide player base. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview
A Senior Software Engineer - Platform Data is crucial for developing, automating, and maintaining scalable data platforms, emphasizing Infrastructure as Code (IaC) and cloud-native technologies. This role centers on the reliability and automation of NoSQL, Streaming, and Caching services within AWS and GCP environments. You’ll compose durable automation frameworks, maintain high availability, and collaborate with product and platform teams to provide resilient, high-performance infrastructure for real-time data services. Embrace Dev & SRE principles, prioritize automation, and use AI/ML to boost system performance. Work closely with platform and product teams to ensure the seamless integration and delivery of high-performance solutions for global PlayStation experiences. Your efforts will directly impact the scalability and reliability of our global data solutions platform. Responsibilities
Develop and implement Infrastructure as Code (IaC) and automate the provisioning, monitoring, scaling, and lifecycle management of NoSQL, Streaming, and Caching platforms (e.g., Cassandra, Kafka, Redis). Drive end-to-end automation to enable repeatable, reliable, and self-service deployment of data services across cloud and hybrid environments. Guarantee the platform data solutions are always available, scalable, and resilient. Define and enforce SLIs, SLOs, and error margins for data platforms to drive reliability engineering practices. Develop highly efficient, self-repairing systems, automated redundancy, and scalability solutions for databases and streaming platforms. Develop observability solutions (metrics, logging, tracing) for Cassandra, Redis, and Kafka/MSK to ensure proactive issue detection. Collaborate with engineering and platform teams to deliver dependable, scalable, and high-performing data services. Lead incident response for critical database/caching/streaming issues and drive root cause analysis with permanent automated fixes. Explore and apply automation methods (e.g., anomaly detection, predictive scaling, automated remediation) to improve operational efficiency. Drive and implement guidelines, procedures, and operational playbooks to facilitate knowledge sharing and support continuous improvement across global teams. Mentor junior engineers and influence guidelines in automation, distributed systems, and database reliability. Qualifications
Bachelor\'s degree in Computer Science or a related field, or relevant experience. 6+ years of software development and SRE experience, with at least 3+ years specializing in Go and Infrastructure As Code with a focus on automation. Deep proficiency in Go (Golang), with the ability to write performant, idiomatic, and maintainable code for production-scale systems. Established track record crafting modular, architecture-focused frameworks in Go, supporting large and complex backend services. Expertise with infrastructure-as-code tools such as Terraform, Ansible. Expertise in operations: scaling, consistency tuning, compaction, repair, and backup/recovery of databases. Familiarity with NoSQL, caching, and streaming platforms (e.g., Apache Kafka, Redis, AWS MSK). Solid understanding of Linux internals, networking, and storage systems. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Cloud experience (AWS, GCP, or Azure), with knowledge of managed services (e.g., DynamoDB, ElastiCache, MSK or equivalent experience). Strong problem-solving and analytical skills, with a passion for automation and distributed systems reliability. Excellent communication and collaboration skills, with experience mentoring and influencing peers across diverse teams. Having worked with Go for infrastructure automation, control plane services, or SRE-focused tooling before is beneficial. Experience bringing to bear AI/ML on IAC and automation, provisioning, anomaly detection, predictive scaling, or intelligent incident response is a plus. Certification in relevant technologies (e.g., AWS Certified Database - Specialty) is advantageous. Why Join Us
At PlayStation, we believe in encouraging a collaborative and inclusive environment where everyone can contribute to their fullest potential. Our team is composed of hard-working individuals who are dedicated to crafting memorable gaming experiences. You\'ll have the opportunity to work on world-class projects, surrounded by passionate colleagues who encourage and support one another. Together, we can achieve outstanding results and make a lasting impact on the gaming industry! Our company values diversity and is an equal opportunity employer. We provide accommodations for individuals with disabilities. Pay and Benefits
The base pay range is $177,300 — $265,900 USD. The estimated base pay range may vary based on location and hybrid policy. This role is eligible for SIE’s benefits package including medical, dental, vision, 401(k) matching, paid time off, wellness program and employee discounts for Sony products. This role may be eligible for a bonus package. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender identity, race, religion, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, or any other legally protected category. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Candidate Privacy Notice: Please refer to our privacy notice for information about how we process your personal information and data protection rights. Base pay will be set based on market benchmarks and location.
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Ready to take your career to the next level? Join PlayStation as a Senior Software Engineer - Platform Data and be a key player in driving innovation in the dynamic field of interactive entertainment. You’ll collaborate with an elite engineering team dedicated to crafting seamless, scalable experiences for a worldwide player base. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview
A Senior Software Engineer - Platform Data is crucial for developing, automating, and maintaining scalable data platforms, emphasizing Infrastructure as Code (IaC) and cloud-native technologies. This role centers on the reliability and automation of NoSQL, Streaming, and Caching services within AWS and GCP environments. You’ll compose durable automation frameworks, maintain high availability, and collaborate with product and platform teams to provide resilient, high-performance infrastructure for real-time data services. Embrace Dev & SRE principles, prioritize automation, and use AI/ML to boost system performance. Work closely with platform and product teams to ensure the seamless integration and delivery of high-performance solutions for global PlayStation experiences. Your efforts will directly impact the scalability and reliability of our global data solutions platform. Responsibilities
Develop and implement Infrastructure as Code (IaC) and automate the provisioning, monitoring, scaling, and lifecycle management of NoSQL, Streaming, and Caching platforms (e.g., Cassandra, Kafka, Redis). Drive end-to-end automation to enable repeatable, reliable, and self-service deployment of data services across cloud and hybrid environments. Guarantee the platform data solutions are always available, scalable, and resilient. Define and enforce SLIs, SLOs, and error margins for data platforms to drive reliability engineering practices. Develop highly efficient, self-repairing systems, automated redundancy, and scalability solutions for databases and streaming platforms. Develop observability solutions (metrics, logging, tracing) for Cassandra, Redis, and Kafka/MSK to ensure proactive issue detection. Collaborate with engineering and platform teams to deliver dependable, scalable, and high-performing data services. Lead incident response for critical database/caching/streaming issues and drive root cause analysis with permanent automated fixes. Explore and apply automation methods (e.g., anomaly detection, predictive scaling, automated remediation) to improve operational efficiency. Drive and implement guidelines, procedures, and operational playbooks to facilitate knowledge sharing and support continuous improvement across global teams. Mentor junior engineers and influence guidelines in automation, distributed systems, and database reliability. Qualifications
Bachelor\'s degree in Computer Science or a related field, or relevant experience. 6+ years of software development and SRE experience, with at least 3+ years specializing in Go and Infrastructure As Code with a focus on automation. Deep proficiency in Go (Golang), with the ability to write performant, idiomatic, and maintainable code for production-scale systems. Established track record crafting modular, architecture-focused frameworks in Go, supporting large and complex backend services. Expertise with infrastructure-as-code tools such as Terraform, Ansible. Expertise in operations: scaling, consistency tuning, compaction, repair, and backup/recovery of databases. Familiarity with NoSQL, caching, and streaming platforms (e.g., Apache Kafka, Redis, AWS MSK). Solid understanding of Linux internals, networking, and storage systems. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Cloud experience (AWS, GCP, or Azure), with knowledge of managed services (e.g., DynamoDB, ElastiCache, MSK or equivalent experience). Strong problem-solving and analytical skills, with a passion for automation and distributed systems reliability. Excellent communication and collaboration skills, with experience mentoring and influencing peers across diverse teams. Having worked with Go for infrastructure automation, control plane services, or SRE-focused tooling before is beneficial. Experience bringing to bear AI/ML on IAC and automation, provisioning, anomaly detection, predictive scaling, or intelligent incident response is a plus. Certification in relevant technologies (e.g., AWS Certified Database - Specialty) is advantageous. Why Join Us
At PlayStation, we believe in encouraging a collaborative and inclusive environment where everyone can contribute to their fullest potential. Our team is composed of hard-working individuals who are dedicated to crafting memorable gaming experiences. You\'ll have the opportunity to work on world-class projects, surrounded by passionate colleagues who encourage and support one another. Together, we can achieve outstanding results and make a lasting impact on the gaming industry! Our company values diversity and is an equal opportunity employer. We provide accommodations for individuals with disabilities. Pay and Benefits
The base pay range is $177,300 — $265,900 USD. The estimated base pay range may vary based on location and hybrid policy. This role is eligible for SIE’s benefits package including medical, dental, vision, 401(k) matching, paid time off, wellness program and employee discounts for Sony products. This role may be eligible for a bonus package. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender identity, race, religion, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, or any other legally protected category. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Candidate Privacy Notice: Please refer to our privacy notice for information about how we process your personal information and data protection rights. Base pay will be set based on market benchmarks and location.
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