Design, develop, and maintain automated test suites for an e-commerce supply chain platform, ensuring quality, performance, and AI agent behavior.
Compensation
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Responsibilities
Embed QA into development and deployment lifecycle
Develop end-to-end automated test suites for e-commerce flows
The Performance Tester is dedicated to ensuring the speed, stability, and scalability of our entire supply chain e-commerce platform.
Responsibilities
Plan, design, and execute rigorous load, stress, and endurance tests on the core e-commerce storefront, internal SaaS tools (OMS, WMS, MES), and emerging AI agent services
Design comprehensive load, stress, and endurance testing strategies for critical systems, focusing on high-volume e-commerce checkout funnels, payment gateway integrations, and API responsiveness
Execute tests using industry-standard tools (e.g., JMeter, Gatling) and cloud-based load testing services
Analyze results to identify performance bottlenecks in Node.js/NestJS services, database queries (PostgreSQL/Redis), and infrastructure components
Collaborate closely with the SRE and development teams to translate performance data into actionable optimization strategies
Buscamos un/a Especialista DevOps con perfil altamente técnico para disenñar, automatizar, mantener y evolucionar la infraestructura que el equipo de QA necesita para ejecutar pruebas de forma estable, repetible, desatendida y escalable.
Responsibilities
Aprovisionar y configurar ambientes de QA mediante infraestructura como código (Terraform).
Automatizar los despliegues en dichos ambientes.
Configurar y resolver incidencias (troubleshooting) de servidores Linux/Windows, servicios, bases de datos (PostgreSQL, MySQL, SQL Server, Oracle, MongoDB) y demás componentes necesarios para las pruebas.
Estandarizar los ambientes y garantizar su reproducibilidad.
Integrar las pruebas automatizadas dentro de los pipelines (Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
Lead the k0rdent AI automation and performance engineering team, owning automation frameworks, performance testing, and release acceptance for a multi-tenant GPU infrastructure platform.
Responsibilities
Lead, hire, and grow the k0rdent AI automation and performance engineering team
Own k0rdent AI acceptance verification and release acceptance criteria
Drive industry-standard quality practices across development teams
Take an active role in roadmap planning and estimation
Establish and report on quality and performance metrics
Hands‑on quality engineering contributor responsible for building, maintaining, and executing automated solutions that ensure the reliability, stability, and usability of Allegiant’s software systems.
Responsibilities
Develop, maintain, and execute automated tests across UI and API layers using modern automation frameworks.
Support smoke testing, release validation, and production verification activities to ensure system stability.
Contribute to and enhance existing automation frameworks following established standards and best practices.
Integrate automated tests and validation checks into CI/CD pipelines to enable fast, reliable feedback.
Partner with developers, QA, and business stakeholders to validate functional and non functional requirements.
Requirements
Bachelor’s degree in computer science, Information technology, Information Systems or related field (or equivalent practical experience)
The Applied AI Site Reliability Engineer focuses on the reliability, performance, and operational integrity of high-visibility products and platforms. The role involves cloud platform engineering, observability, and applied AI fluency to operate AI and agentic workloads.
Compensation
A reasonable estimate of the current range is $69,400 to $127,900.
Responsibilities
Drive a culture of accountability for reliability, performance, and cost outcomes measured in SLOs and error budgets.
Operate products, platforms, and environments to meet SLOs within budget.
Serve as technical advocate for production reliability and operability.
Participate in design of observability, performance, and resilience testing, and operational tooling.
Maintain operational integrity of production and pre-production environments.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $102,500 to $188,900.
Responsibilities
Operate the products, platforms, and environments to meet SLOs
Lead design of observability, performance and resilience testing
Own admission of systems into production
Maintain operational integrity of production and pre-production environments
Build and operate production observability dashboards and alerting
Requirements
Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline
Software Engineer in Test (SET)NewAllegiant · Las Vegas, US
Applied AI Site Reliability Engineer I (PxE A&A)NewDeloitte · Dallas, US