Staff Software Engineer – Data

Sony Interactive Entertainment (SIE); United States; Remote; USD 180,000 - 290,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Wellness program

Employee discounts

Bonus potential

Job summary

Sony Interactive Entertainment (SIE) is seeking a senior engineering leader to provide technical leadership for a real-time analytics platform handling high-throughput, low-latency data processing and data-driven applications.

You will design, build, and operate distributed analytics systems with Flink, Spark Structured Streaming, ClickHouse and Druid; connect batch and streaming workloads; apply AI to boost developer productivity; set engineering standards and mentor teams; participate in

Qualifications

• Eight+ years designing and building large-scale distributed systems.
• Experience with real-time data processing and analytics platforms.
• Strong Python skills and production experience with stream-processing tech.

Responsibilities

• Design, build, and operate distributed systems for real-time analytics.
• Guide evolution of stream-processing and analytics platforms from architecture to operations.
• Develop and tune data services using Flink, Spark Structured Streaming, ClickHouse, and Druid.

Skills

Python

Distributed systems

Incident response

AI/ML awareness

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Flink

Spark Structured Streaming

ClickHouse

Apache Druid

Kafka / AWS MSK

Job description

Role overview

Provide technical leadership for a real-time analytics platform supporting high-throughput, low-latency data processing and data-driven applications. The work spans architecture, implementation, and production operations, with a focus on reliability, scalability, performance, and engineering productivity.

Responsibilities

• Design, build, and operate distributed systems for real-time and near-real-time analytics.
• Guide the evolution of stream-processing and analytics platforms, owning critical capabilities from architecture through operations.
• Develop and tune data services using technologies such as Flink, Spark Structured Streaming, ClickHouse, and Druid.
• Connect batch and streaming workloads through interoperable data pipelines and lakehouse architectures.
• Apply AI capabilities to improve engineering workflows, data quality, operations, troubleshooting, and developer productivity.
• Set engineering standards, mentor other engineers, and collaborate across product, infrastructure, security, and data teams.
• Participate in on-call support, lead incident response and root-cause analysis, and recommend platform investments.

Requirements

• A degree in computer science, engineering, or a related field, or equivalent practical experience.
• At least eight years designing and building large-scale distributed systems, with experience in real-time data processing, analytics, or data platforms.
• Strong Python skills and production experience with stream-processing technologies such as Apache Flink or Spark Structured Streaming.
• Experience operating and tuning high-performance analytics databases such as ClickHouse or Apache Druid, or equivalent systems.
• Experience building event-driven pipelines with Kafka, AWS MSK, or similar messaging platforms.
• The available source also cites AI/ML and modern AI tooling experience, though its detailed requirement text is truncated.

Nice to have

• Scala experience for maintaining and extending existing platform components.

Benefits and work setup

• The source mentions medical, dental, and vision coverage, a matching 401(k), paid time off, a wellness program, and employee discounts. A bonus may also be available.