Software Quality Engineer

Lab37•Pittsburgh, PA

4d•Onsite

About The Position

Lab37 Robotics is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. As a Senior Software Quality Engineer, you will own test strategy, release validation, automation, and early issue triage across complex software and operational workflows. You will work across frontend applications, backend services, cloud infrastructure, integrations, and robot-adjacent interfaces. You will partner closely with product, culinary, operations, robotics, firmware, and mechanical teams to understand how the system is expected to behave, identify meaningful risks, and turn ambiguous operational requirements into practical test plans and reliable validation processes. We are looking for someone who is deeply hands-on, enjoys investigating complex problems, and takes ownership from planning through release and production support. You’ll collaborate with experienced engineers across disciplines while helping raise the quality, reliability, testability, and maintainability of our software.

Requirements

7+ years of software quality, test engineering, or related experience, including ownership of complex test strategies or quality initiatives across multiple components.
Deep experience creating and executing test plans for production software.
Strong experience with test automation using one or more programming languages.
Experience testing APIs, backend services, web applications, databases, integrations, and asynchronous or event-driven workflows.
Experience owning or coordinating release validation, release checkout, or production-readiness activities.
Strong debugging and investigation skills, including the ability to narrow ambiguous issues across multiple systems.
Experience working with CI/CD systems and integrating automated tests into build and deployment pipelines.
Strong judgment about where automation provides leverage and where focused manual or exploratory testing is more effective.
Deep experience improving software quality, reliability, and testability.
Strong product judgment and the ability to translate real operational workflows into practical validation strategies.
Clear written and verbal communication, including test plans, release checklists, quality reports, operational playbooks, and cross-functional alignment.
Comfort working across boundaries and collaborating with both technical and non-technical partners.
Enjoy collaborating with teammates and sharing technical knowledge.

Nice To Haves

Experience with browser automation frameworks such as Playwright, Cypress, Selenium, or similar tools.
Experience with API and service testing using Python, TypeScript, Go, Java, C#, or similar languages.
Docker, Kubernetes, Protobuf, Terraform, Git, and continuous delivery systems.
Simulation environments, mocked or simulated backend services, hardware-in-the-loop testing, and integration testing.
SQL, analytics platforms, operational dashboards, or data-intensive product development.
Software that interacts with hardware, robotics, IoT, logistics, manufacturing, fulfillment, or other physical operations.
Experience validating systems that must handle intermittent connectivity, dependency failures, retries, partial completion, or delayed events.
Experience with observability and monitoring tools such as Sentry, Grafana, Prometheus, CloudWatch, or similar platforms.
Building internal tools or operational software used in high-availability, real-time environments.
Experience participating in incident response, production support, or on-call rotations.

Responsibilities

Create and execute test strategies for complex product capabilities spanning user interfaces, backend services, cloud infrastructure, external integrations, and robot-adjacent systems.
Develop detailed test plans based on product requirements, technical designs, operational workflows, system dependencies, and potential failure modes.
Own and coordinate release checkout, including defining readiness criteria, validating critical workflows, documenting results, identifying blockers, and supporting go or no-go decisions.
Build and maintain automated tests for APIs, backend services, web applications, integrations, and end-to-end operational workflows.
Partner directly with product, culinary, and operations teams to understand real-world workflows, clarify requirements, and identify risks before release.
Test software for configuring, observing, and managing kitchen operations, including order intake, menus, recipes, tasks, alerts, and performance visibility.
Validate integrations with delivery and commerce platforms, including order intake, menu synchronization, order-state communication, retries, duplicate events, and partial failures.
Test operator-facing and robot-adjacent interfaces used in physical production environments.
Work alongside firmware and robotics engineers to validate cohesive system behavior across software and hardware boundaries.
Help improve system testability by contributing to simulation environments, mocked services, test data, diagnostic tooling, and repeatable test environments.
Perform exploratory, functional, integration, regression, system, and end-to-end testing.
Own quality activities through rollout and production support, including validation, observability, issue reproduction, early triage, and iterative improvement.
Participate in an on-call or support rotation focused on early issue investigation, evidence collection, initial classification, and routing to the appropriate engineering team.
Work with engineers to improve logs, metrics, alerts, dashboards, and other diagnostic capabilities needed to validate and troubleshoot important workflows.
Participate in design reviews, release reviews, incident reviews, and technical discussions to identify quality risks and improve software reliability.
Share knowledge with teammates and contribute to engineering and quality best practices.