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# Software Development Engineer in Test

- **Company:** The Meta Game, Inc.
- **Location:** Menlo Park, CA, United States
- **Experience:** Expert
- **Salary:** $146,000.0 - $203,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Automation of Tests, C++ (Programming Language), Code Coverage, Computer Engineering, Continuous Integration, Software Debugging, Distributed Systems, Python (Programming Language), Reliability Engineering, Software Reliability Testing, Software Engineering, Software Systems, Test Execution Engine, Strategies of Testing, Performance Testing, Concurrency, Build Management, Information Technology, Low Latency, SDET, Programming Languages
- **Published:** August 28, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3367836027&tx=FR6764FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

1. Experience designing and building automated test frameworks and infrastructure for large-scale or distributed software systems
 2. 6+ years of experience in software development engineering in test, test automation, or quality engineering roles
 3. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 4. Experience with performance, load, or reliability testing methodologies and tooling
 5. Experience identifying root causes of test failures and production defects through systematic debugging and analysis
 6. Experience influencing engineering decisions through written technical proposals and cross-functional stakeholder alignment, 1. Familiarity with chaos engineering, fault injection, or adversarial testing techniques to validate system resilience
 2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 4. Experience integrating automated testing into CI/CD pipelines and defining quality gates for staged rollout processes
 5. Proficiency in one or more programming languages such as Python, Java, C++, or Hack, applied specifically to test framework development
 6. Experience building test infrastructure for systems with high concurrency, low latency requirements, or complex distributed architectures
 7. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

## Description

Meta is seeking a Software Development Engineer in Test to drive quality and reliability across large-scale software systems. In this role, you will design and build sophisticated test infrastructure, automated testing frameworks, and validation pipelines that enable engineering teams to ship high-quality software with confidence. You will partner closely with product and infrastructure engineers to define testability requirements, identify systemic quality gaps, and establish testing strategies that scale across complex, distributed systems. This role sits at the intersection of software engineering and quality assurance, requiring deep technical expertise in test architecture, automation, and reliability engineering., 1. Design and implement scalable automated test frameworks, test harnesses, and validation infrastructure for large-scale distributed systems

 2. Define and drive end-to-end testing strategies including unit, integration, system, regression, and performance testing across multiple product areas
 3. Collaborate with product and infrastructure engineers to embed testability requirements early in the software design and development lifecycle
 4. Develop tooling and pipelines to improve test coverage, test execution speed, and signal quality across CI/CD workflows
 5. Identify systemic quality gaps through root cause analysis of failures, flaky tests, and production incidents, and drive resolution across teams
 6. Establish and evangelize testing best practices, coding standards, and quality engineering patterns for the broader engineering organization
 7. Lead technical design reviews for test infrastructure components, providing guidance to peers on architecture and implementation tradeoffs
 8. Build observability and reporting systems to surface test health metrics, coverage trends, and reliability signals to engineering leadership
 9. Partner with cross-functional teams to define quality gates and release criteria that balance velocity with production reliability


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