Staff Software Development Engineer in Test

Workiva provides an AI-powered platform that unifies finance, risk, and sustainability on a secure foundation for complex organizations. The Staff Software Development Engineer in Test will lead quality engineering strategy, platforms, standards, and developer workflows across Financial Reporting products, with a focus on distributed systems, CI/CD reliability, performance, observability, and scalable testing practices.

Responsibilities:

• Define and execute the technical vision for quality engineering across FInancial Reporting Products, including reusable test tooling, infrastructure, standards, and paved-road developer experiences
• Set and own governance standards that keep AI-generated code and agent integrations safe, testable, and consistent across services
• Rate every agent-callable surface for AI readiness before integration, and define rollback or human-confirmation paths for agent actions
• Architect, build, and evolve scalable automated test frameworks that support API, integration, contract, end-to-end, user-workflow, performance, and resiliency testing
• Design and implement quality-platform capabilities for complex distributed systems, including CI/CD integrations, test-environment strategies, release validation, and actionable quality signals
• Drive comprehensive performance, load, scale, reliability, and chaos-testing approaches for critical services and customer workflows
• Establish meaningful quality metrics, telemetry standards, and dashboards that help engineering teams identify release risk, system vulnerabilities, and customer-impacting regressions early
• Partner with product and engineering teams to embed quality practices throughout planning, development, delivery, and production operations
• Lead multi-quarter, cross-functional technical initiatives from problem definition through architecture, implementation, adoption, and measurable outcomes
• Work closely with Principal Engineers, Product Directors, and Engineering Leadership to align quality investments with product strategy, architectural roadmaps, and customer needs
• Prototype and personally deliver high-leverage platform components while enabling product teams to adopt and extend shared capabilities
• Lead and mentor Senior and Mid-level engineers, raise the technical bar for quality engineering, and create repeatable practices that scale beyond a single team
• Champion a customer-centered quality mindset by connecting production signals, user workflows, and engineering decisions to the customer experience
• Drive alignment across product lines and stakeholders to resolve ambiguous technical problems and establish durable engineering standards

Requirements:

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience
• 4+ years of experience in software engineering, software development in test, test infrastructure, quality engineering, or a related technical discipline
• Experience leading complex, ambiguous, multi-team technical initiatives from technical strategy through delivery, adoption, and measurable outcomes
• Demonstrated fluency operating with and evaluating AI-assisted/agent-authored code, at an advanced level
• Experience building evaluation frameworks that measure AI agent decision-correctness, not just latency/availability/uptime
• Managed outsourced testing teams
• Deep experience designing and building scalable automated testing strategies, frameworks, and tooling for distributed systems, microservices, APIs, and backend infrastructure
• Strong software engineering fundamentals and proficiency in one or more modern languages, such as TypeScript, Python, Go, Java, or JavaScript
• Experience building quality capabilities across the software delivery lifecycle, including CI/CD integration, test environments, release validation, observability, and multiple testing layers such as unit, integration, contract, end-to-end, performance, and resiliency testing
• Experience architecting quality-engineering solutions in cloud-native environments and with tools such as Kubernetes, Docker, and Playwright
• Demonstrated ability to influence technical leaders, mentor engineers, establish reusable platforms or standards, and drive alignment across multiple product teams or globally distributed engineering organizations