Platform Data Reliability & Automation Engineer

Sony Interactive Entertainment

San Mateo (CA)

On-site

USD 150,000 - 225,000

Full time

5 days ago

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Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) with match

Paid time off

Wellness program

Employee discounts

Bonus package

Job summary

Sony Interactive Entertainment is seeking a Software Engineer II focused on Platform Data Reliability & Automation to build reliable, scalable data platforms across AWS and GCP. You’ll implement Infrastructure as Code, automate data services, and enhance observability for billions of transactions.

Join a team that values innovation, collaboration, and engineering excellence, delivering reliable data services to a global PlayStation audience.

Qualifications

Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
3+ years of software engineering experience.
Experience developing production software in Go, with testing, concurrency, and maintainability in mind.
Hands-on experience with Infrastructure as Code (Terraform) and config-management (Ansible).
Experience deploying workloads on Kubernetes.
Experience with AWS or GCP and their managed services (MSK, DynamoDB, ElastiCache, Memorystore, etc.).
Knowledge of NoSQL, caching, or streaming tech (Cassandra, Aerospike, Kafka, Redis).
Understanding of distributed systems concepts like availability, replication, fault tolerance, and scaling.
Strong Linux, networking, and observability fundamentals.
Excellent written and verbal communication for cross-team collaboration.

Responsibilities

Develop, maintain, and improve IaC and configuration-management automation with Terraform and Ansible.
Build automation for reliable deployment of data services across cloud and hybrid environments.
Improve reliability, availability, scalability, performance, and resiliency of platform data services.
Define and measure service-level indicators, objectives, and error budgets.
Automate operational tasks like scaling, failover, backups, and upgrades.
Develop observability through metrics, logging, tracing, dashboards, and alerts.
Troubleshoot issues in Cassandra, Aerospike, Kafka/MSK, Redis and related services.
Participate in on-call rotations and incident response with root-cause analysis.
Write clean, well-tested Go code for infrastructure automation and platform services.
Collaborate with engineering, security, and operations teams to deliver reliable data services.
Create and maintain runbooks and automation playbooks.
Contribute to code reviews and system design discussions.
Explore AI-assisted automation and anomaly detection where applicable.