Software Engineer II Data Reliability & Automation (APIs)

Software Engineer II – Platform Data Reliability & Automation

Ready to level up your career? Join PlayStation as a Software Engineer II focused on developing reliable, automated infrastructure platforms that support data services used by millions of players worldwide.

You’ll work across software development, Infrastructure as Code, database infrastructure, and operational reliability. You’ll also help develop APIs and agent-assisted experiences that make infrastructure creation and management simpler, safer, and more accessible to engineering teams.

Role Overview

We are seeking a Software Engineer II to help build, automate, and operate scalable data infrastructure across cloud environments.

This role combines backend software development with infrastructure automation and operational engineering. You’ll develop Go services, APIs, Terraform modules, and automation for provisioning and managing databases, streaming platforms, and caching services such as Cassandra, Aurora, Aerospike, Kafka, and Redis.

You’ll also contribute to enabling self-service experiences that translate developer intent into validated infrastructure configurations and provisioning workflows. Working alongside senior engineers and platform teams, you’ll help ensure these capabilities are reliable, secure, observable, and safe to operate at scale.

Responsibilities

• Develop and maintain software, APIs, and automation for provisioning and managing database, streaming, and caching infrastructure.
• Build and maintain reusable Terraform modules and Infrastructure as Code workflows for cloud, Kubernetes, and data-platform services.
• Develop backend services and platform tooling in Go to support infrastructure provisioning, configuration, and lifecycle management.
• Automate operational activities such as deployment, configuration, scaling, upgrades, backup, recovery, failover, and decommissioning.
• Help operate and improve SQL, NoSQL, streaming, and caching platforms at scale, including technologies such as Cassandra, Aurora, Aerospike, Kafka/MSK, Redis, DynamoDB, and ElastiCache.
• Contribute to the availability, scalability, performance, and reliability of stateful data services
• Help build self-service and agent-assisted experiences that translate developer intent into structured infrastructure specifications and Terraform-based execution plans.
• Build and enhance observability using metrics, logs, traces, dashboards, and actionable alerts.
• Participate in on-call rotations and incident response for database, caching, streaming, and supporting platform services.
• Troubleshoot infrastructure and application issues involving database performance, capacity, connectivity, replication, storage, and resource utilization.
• Contribute to root-cause analysis and implement automated or systemic fixes that prevent recurring incidents.
• Help define and measure SLIs, SLOs, error budgets, and operational health indicators for platform services.
• Create automated tests for APIs, Terraform modules, infrastructure plans, operational tooling, and failure scenarios.
• Collaborate with engineering, platform, security, and operations teams to deliver reliable and scalable data services.
• Maintain technical documentation, API specifications, operational playbooks, runbooks, and onboarding materials.
• Participate in code reviews, design discussions, capacity planning, and continuous improvement initiatives.

Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering, database reliability engineering, site reliability engineering, platform engineering, infrastructure automation, or a related field.
• Experience developing production software, backend services, or infrastructure tooling in Go.
• Hands on experience using Terraform to provision and manage cloud infrastructure.
• Experience developing APIs, including interface design, validation, error handling, testing, and versioning.
• Working knowledge of one or more SQL, NoSQL, streaming, or caching technologies, such as Cassandra, Aurora, Aerospike, Kafka, AWS MSK, Redis, DynamoDB, or ElastiCache.
• Understanding of database and distributed-system concepts such as replication, partitioning, consistency, availability, fault tolerance, backup, and recovery.
• Familiarity with the operational requirements of stateful systems, including capacity planning, performance monitoring, scaling, upgrades, backup and recovery, and incident troubleshooting.
• Experience with AWS or GCP, including familiarity with cloud networking, identity, compute, storage, and managed data services.
• Working knowledge of Kubernetes and experience deploying or operating containerized workloads.
• Understanding of Linux, networking, storage systems, and common troubleshooting techniques.
• Familiarity with observability practices, including metrics, structured logging, tracing, alerting, and dashboards.
• Experience writing unit, integration, and automated end-to-end tests.
• Strong problem-solving and analytical skills, with an interest in infrastructure automation and distributed-system reliability.
• Strong written and verbal communication skills and the ability to collaborate effectively across teams.

Preferred Qualifications

• Experience building internal developer platforms, self-service infrastructure, or infrastructure APIs.
• Experience using AI/ML or generative AI to improve infrastructure automation, operational workflows, incident management, observability, or developer productivity.
• Familiarity with agent-assisted workflows, structured outputs, tool-calling integrations, approval controls, or policy-based infrastructure automation.
• Relevant AWS, GCP, Kubernetes, Terraform, database, or streaming-platform certifications.