Software Engineer II Data Reliability

Responsibilities

• Develop and maintain software, APIs, Terraform modules, and automation for provisioning and managing database, streaming, caching, cloud, Kubernetes, and data-platform infrastructure.
• Build Go backend services and platform tooling for infrastructure provisioning, configuration, lifecycle management, and self-service workflows.
• Automate deployment, configuration, scaling, upgrades, backup, recovery, failover, and decommissioning of stateful data services.
• Operate and improve SQL, NoSQL, streaming, and caching platforms, including Cassandra, Aurora, Aerospike, Kafka/MSK, Redis, DynamoDB, and ElastiCache.
• Improve availability, scalability, performance, reliability, observability, and operational health for data services.
• Participate in on-call rotations, incident response, troubleshooting, root-cause analysis, and implementation of systemic fixes.
• Define and measure SLIs, SLOs, error budgets, metrics, logs, traces, dashboards, and actionable alerts.
• Create automated tests for APIs, Terraform modules, infrastructure plans, operational tooling, and failure scenarios.
• Collaborate with engineering, platform, security, and operations teams and maintain technical documentation, specifications, playbooks, runbooks, and onboarding materials.

Requirements

• 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.
• Production software, backend service, or infrastructure-tooling development experience 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 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 including replication, partitioning, consistency, availability, fault tolerance, backup, and recovery.
• Experience with AWS or GCP and 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, observability practices, and troubleshooting techniques.
• Experience writing unit, integration, and automated end-to-end tests.
• Strong problem-solving, analytical, written communication, verbal communication, and cross-team collaboration skills.
• Preferred qualifications include experience with internal developer platforms, self-service infrastructure, infrastructure APIs, AI/ML or generative AI for infrastructure workflows, agent-assisted workflows, structured outputs, tool-calling integrations, approval controls, policy-based automation, or relevant AWS, GCP, Kubernetes, Terraform, database, or streaming certifications.

Benefits

• Hybrid working policy applies, and base pay may vary by location and work arrangement.
• Medical, dental, and vision coverage.
• Matching 401(k).
• Paid time off and wellness program.
• Employee discounts for Sony products.
• Potential eligibility for a bonus package.
• Background checks are conducted at the offer stage for new employees.