Swift QA Engineer

A global technology leader renowned for designing and delivering innovative consumer electronics, software and digital services is looking for a Swift Quality Engineer

Role: Swift Quality Engineer

Location: San Diego, CA

Duration: 3 months contact with possible extension

Pay Range: $75 - $80/hour on w2

Description:

We're looking for a QA engineer who uses Swift to test an AI product that helps organizations make sense of their data. You'll join a team building solutions where quality is the product. You'll own two testing frontiers at once: UI automation for a native macOS SwiftUI app, and model evaluation for an AI pipeline that reasons over customer data. To succeed, bring creative energy to collaboration, communication, and delivering high-quality results.

You'll work on problems that matter. The software you test protects customer data, keeps critical workflows running, and delivers tools that organizations from schools to hospitals trust every day. We're looking for someone who solves problems, takes initiative, and cares about the people who use what we build.

Responsibilities:

• Design, develop, and maintain automated test suites in Swift using Swift Testing and XCUITest.
• Build UI automation for the macOS SwiftUI app, wiring stable accessibility identifiers and dependency-injected test seams for reliable coverage.
• Author and own model evaluations: curate golden-question datasets and CSV fixtures, define scoring criteria, and run the evaluation harness across different model backends.
• Score model outputs with deterministic matchers and LLM-as-judge rubrics (correctness, hallucination, concision), and track evaluation-score regressions across commits.
• Validate model quality, latency, and determinism, including structured model outputs and intent-classification accuracy.
• Validate REST API endpoints and SSE streams, and verify JWT/OAuth (OIDC) authentication flows.
• Investigate and triage concurrency issues using Thread Sanitizer and strict concurrency checking across actor and streaming paths.
• Execute long-running stability and soak tests to validate the reliability of streaming and background work.
• Build and maintain CI test execution integrated with Jenkins.
• Collaborate with developers to define testability requirements early, and participate in sprint planning, backlog grooming, and release readiness reviews.

Minimum Qualifications:

• Computer Science / Software Engineering degree or equivalent software engineering experience
• Hands-on experience testing with Behavior-Driven (BDD) or Test-Driven Development (TDD), with analytical thinking to build clear, concise, and comprehensive test scenarios

Preferred Qualifications:

• Practical experience with Swift and test frameworks, Swift Testing (@Test/@Suite/#expect) and XCUITest, building UI automation with stable accessibility identifiers and dependency-injected test seams. Comfortable with command-line build and test tooling and Jenkins CI integration.
• Experience building evaluation harnesses for AI features: authoring golden-question datasets and CSV fixtures, scoring model outputs with deterministic matchers and LLM-as-judge rubrics (correctness, hallucination, concision), and tracking evaluation-score regressions across commits.
• Ability to validate model quality, latency, and determinism, comparing model outputs across different model backends, and verifying structured outputs and intent-classification accuracy.
• Strong problem-solving and analytical skills, with the ability to investigate, debug, and triage issues in complex multi-stage, multi-process macOS applications independently and cooperatively.
• Experience testing actor-based Swift concurrency, including Sendable and actor-isolation correctness, data-race detection with Thread Sanitizer (TSan) as a complement to Swift 6 strict concurrency, and long-running stability and soak testing of streaming paths.
• Strong understanding of RESTful API and Server-Sent Events (SSE) service testing, with experience validating JWT/OAuth (OIDC) authentication flows.
• Familiarity with performance validation on macOS: inference latency, token-budget, memory, and resource-constraint testing for AI model workloads.
• Familiarity with the Model Context Protocol (MCP) or similar tool-use frameworks for validating tool invocation and data retrieval.
• Experience with Agile and Scrum methodologies and rapid releases, plus strong communication and cross-functional collaboration skills.

Russell Tobin is a leading minority-owned professional and technical recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization.

Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity

Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment

Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodation

We are committed to providing reasonable accommodation for applicants and employees with disabilities. If you require reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates:

Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

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