Staff Software Engineer, Feature Platform

Unity South APAC (SEA, ANZ, IND Subcont.)

📍San Francisco, CA
💰 $192,600 - $288,800
Posted May 18, 2026

Job Overview

Position

Staff Software Engineer, Feature Platform

Company

Unity South APAC (SEA, ANZ, IND Subcont.)

Location

San Francisco, CA

Work Type

On-site

Salary Range

$192,600 - $288,800

Job ID

li-4412815909

Job Description

The opportunity

At Unity, we're building a world-class advertising platform that operates at a massive global scale. The Ads team powers the systems that connect advertisers with creators and players, driving performance, reliability, and growth across our ecosystem.

As a Staff Software Engineer on the Feature Platform team, you'll play a critical role in building the infrastructure that powers machine learning, experimentation, and optimization across our ads ecosystem. You'll design and operate the systems that transform high-volume event data into production-grade feature datasets used for bidding, attribution, and ranking — working at the intersection of distributed systems, platform engineering, and ML infrastructure.

This role goes beyond data processing. You'll own the full software lifecycle of pipeline systems — from architecture and implementation through to reliability, observability, and performance at scale — collaborating closely with ML, backend, and product teams to build durable, high-quality infrastructure that supports both offline training workflows and online feature serving.

This role is ideal for someone who enjoys owning complex systems end-to-end, thinking deeply about correctness and scalability, and building software that other engineering teams depend on.

What you'll be doing

  • What You'll Be Doing

  • Design, build, and operate scalable, production-grade data pipeline systems and curated feature datasets powering ads optimization and ML

  • Own end-to-end offline data flows from raw event ingestion to feature-ready datasets, with strong emphasis on correctness, reproducibility, and SLA compliance

  • Develop and maintain large-scale batch and streaming systems (Python / Java / SQL) with a strong focus on performance, cost-efficiency, and reliability

  • Build and contribute to our Feature Store platform, including integration with the high-throughput online serving layer (Go-based services)

  • Translate complex product and monetization logic into well-engineered, extensible systems serving analytics and machine learning use cases

  • Drive improvements in observability, testing frameworks, and quality standards across the platform

  • Lead architectural decisions and engineering best practices within the Feature Platform team

What we're looking for

  • Strong software engineering fundamentals with deep experience designing and operating large-scale distributed systems in production

  • Hands-on experience building production-grade ETL/ELT pipelines using Python, Java, SQL, or similar technologies

  • Experience with distributed processing frameworks such as Spark or Flink in both batch and streaming modes, including performance tuning and parallel computation

  • Understanding of how offline data systems integrate with online serving layers — feature stores, low-latency APIs, and real-time systems

  • Experience with cloud-native environments, containerized systems, Kubernetes, and workflow orchestration tools

  • Strong ownership mindset — focused on correctness, observability, and long-term maintainability

  • Experience with Go is a plus, particularly for collaboration on high-throughput feature serving services

You might also have

  • Experience with ML infrastructure, feature stores, or model training pipelines

  • Background in ads, attribution, or monetization systems

  • Familiarity with experimentation and metrics infrastructure

  • Exposure to high-scale backend or platform engineering

Additional information

  • Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

*Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.*
*Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.*
*This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.*
*Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.*
*Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.*
#DIR

  • Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary$192,600—$288,800 USD

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you design an end-to-end data pipeline that ingests high-volume raw event data and outputs feature-ready datasets for both offline ML training and a high-throughput online serving layer?
  • 2.Can you explain your approach to performance tuning and ensuring cost-efficiency in distributed batch and streaming systems like Spark or Flink?
  • 3.How do you ensure data correctness and reproducibility in a complex pipeline that transforms raw ad event data into production-grade feature datasets?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you took full ownership of a complex data platform system from architecture through to ongoing reliability and observability.
  • 2.Describe a situation where you had to collaborate closely with ML engineers and backend product teams to translate complex monetization logic into an extensible platform system.
  • 3.Give an example of a time you drove improvements in testing frameworks or quality standards across your team or platform.
🧩Situational Questions (2)
  • 1.You discover that a critical streaming pipeline feeding the online feature serving layer is falling behind and causing increased latency for real-time ad bidding. How do you handle this?
  • 2.A new product requirement demands a complex attribution logic that requires joining a high-cardinality streaming dataset with a large batch-processed dataset. How would you approach designing this system?

Resume Keywords

Make sure these keywords appear on your resume

Feature StoreDistributed SystemsETL/ELT PipelinesSparkFlinkKubernetesOnline ServingMachine Learning InfrastructureData CorrectnessObservabilityGo

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