Software Development Engineer in Test, ML

3M HEALTHCARE; San Mateo, Town of Montana (CA, WI); Hybrid; USD 141,000 - 211,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) matching

Paid time off

Wellness program

Employee discounts

Job summary

Sony Interactive Entertainment is hiring a Quality Engineer for its Machine Learning Platform team to build, test, and deploy scalable ML services for millions of users. You’ll develop automated test strategies, collaborate with ML engineers, and help ensure robust production readiness in a dynamic, cross‑functional environment.

Applicants should have 3–5 years in software quality engineering, strong test frameworks, and experience with AWS/GCP, Kubernetes, Docker, and CI/CD tooling.

Qualifications

• 3–5 years of experience in software quality engineering, test automation, or SDET roles
• Bachelor’s degree in a technical field
• Proficiency in Python, Java, Scala, or Go

Responsibilities

• Develop, maintain, and execute test plans, test cases, and test automation for in‑house Inference Service and ML platform components
• Design and implement integration, regression, and performance test strategies for new releases
• Build and maintain automated testing frameworks and CI/CD test pipelines
• Collaborate with ML engineering and platform teams to define acceptance criteria and validate productionization of ML models
• Create and maintain performance and load testing suites to verify inference service scalability and latency requirements
• Develop and track quality metrics, defect trends, and test coverage reports
• Participate in design and architecture reviews to identify testability concerns and quality risks
• Contribute to improving team testing practices, tooling, and processes for MLOps

Skills

Python

Java

Scala

Go

Education

Bachelor's degree in a technical field

Tools

pytest

JUnit

TestNG

AWS

GCP

Kubernetes

Docker

Jenkins

GitHub Actions

ArgoCD

Prometheus

Grafana

Databricks

Seldon

KServe

Ray Serve

Job description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting‑edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Do you want to join a Machine Learning Platform engineering team committed to delivering the PlayStation experience for millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The AI/ML Engineering Group delivers optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost‑effectively deploying and evaluating very large‑scale machine learning systems.

We are looking for a Quality Engineer who helps us deliver delightful products and experiences for millions, in an agile environment, collaborating with teams‑across Engineering, Security, Architecture and Product. Further, you will be immersed in AI/ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

Roles and Responsibilities:

• Develop, maintain, and execute test plans, test cases, and test automation for our in‑house developed Inference Service and related ML platform components
• Design and implement integration, regression, and performance test strategies to validate new releases of our Online Inference service
• Build and maintain automated testing frameworks and CI/CD test pipelines to ensure quality assurances are met before production deployments
• Collaborate with ML engineering and platform teams to define acceptance criteria and validate the productionization of ML models through the inference pipeline
• Create and maintain performance and load testing suites to verify inference service scalability, latency requirements, and reliability under production like conditions
• Develop and track quality metrics, defect trends, and test coverage reports to provide visibility into release readiness
• Participate in design and architecture reviews to identify testability concerns and quality risks early in the development lifecycle
• Contribute to improving team testing practices, tooling, and processes in support of MLOps best practices

Qualifications:

• 3 - 5 years of experience in software quality engineering, test automation, or SDET roles
• Bachelor’s degree in a technical field
• Proficiency in one or more of the following programming languages: Python, Java, Scala, or Go
• Hands‑on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)
• Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, ArgoCD, etc.) and integrating automated testing into delivery pipelines
• Experience with API and service‑level testing for distributed systems
• Strong verbal and written communication skills
• Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Databricks, etc.) for validating service health

Preferred Qualifications:

• Experience testing online services with high RPS and low latency requirements
• Exposure to ML platforms, model serving infrastructure, or inference systems (Seldon, KServe, Ray Serve, etc.)
• Experience with performance and load testing tools (Locust, k6, Gatling, JMeter, etc.)
• Experience with Databricks or similar ML platform tooling

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job‑related factors which may include knowledge, skills, experience, and location.

In addition, this role is eligible for SIE’s top‑tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package.

The estimated base pay range for this role is listed below.

$140,500 — $210,700 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.