[Hiring] QA Automation Engineer @Data Squared

Role Description

This is a remote position.

As QA Automation Engineer, you will build and evolve the quality-engineering and continuous-testing capability for the reView Decision Intelligence platform. reView is an enterprise platform composed of distributed services, APIs, integrations, a graph knowledge layer, AI/model services, orchestration capabilities, and web-based experiences. It runs across AWS, containerized, and Kubernetes environments - and, for regulated and federal customers, in on-premises, disconnected, and air-gapped deployments. Quality engineering is what proves these capabilities function together securely, reliably, accurately, and at enterprise scale.

You will embed quality throughout the development lifecycle using shift-left testing, continuous testing, automated code assurance, CI/CD quality gates, and release-readiness evidence. You will work closely with Product, Architecture, Engineering, and Platform/DevSecOps to establish expected platform behavior and translate it into repeatable automated validation.

The Head of Product Engineering owns the quality standard. You own the automation capability that enforces it.

Your work will validate that:

• reView platform features, services, APIs, and integrations function correctly across every supported deployment mode - cloud, containerized, on-premises, edge, and air-gapped.
• Decision Records are complete, source-linked, reproducible, and defensible.
• Reasoning remains bounded to the customer’s governed corpus.
• The platform meets defined performance, scalability, reliability, and recovery requirements under enterprise workloads.
• Security, software assurance, accessibility, integration, and regression requirements are continuously validated.
• Releases carry objective evidence that defined quality and release-readiness requirements have been satisfied.

The automation capability you build will support both the Global Product and Federal delivery pipelines, creating a common quality foundation across data² product delivery.

This position requires work within U.S.-controlled development, testing, and federal software-delivery environments.

Qualifications

• Authorized to work in the United States and eligible to work within U.S.-controlled development, testing, and federal software-delivery environments, including access to export-controlled technical data.
• Strong experience testing backend systems, APIs, microservices, distributed systems, or complex enterprise platforms.
• Strong experience designing, implementing, and maintaining automated test frameworks.
• Strong Python skills and experience with pytest or similar frameworks.
• Experience designing automated integration and regression tests across multiple services.
• Experience integrating automated testing and quality gates into CI/CD pipelines.
• Experience testing applications and distributed services operating in AWS cloud environments.
• Experience with Docker and containerized development or test environments.
• Understanding of API contracts, authentication, authorization, error handling, asynchronous processing, and distributed-service behavior.
• Experience with performance, scalability, reliability, and failure-condition testing.
• Strong debugging and root-cause-analysis skills across multiple technical layers.
• Understanding of modern DevOps, shift-left quality, continuous testing, and continuous-delivery practices.
• Ability to translate product and technical requirements into objective automated validation.
• Strong written and spoken English for collaboration across a distributed engineering organization.

Requirements

• Embed quality and testability early in the development lifecycle.
• Partner with Product, Architecture, and Engineering to refine requirements, user stories, and acceptance criteria.
• Translate platform requirements into measurable, automatable test conditions.
• Define functional, integration, security, reliability, performance, and applicable accessibility acceptance criteria.
• Identify testability, observability, API contract, and error-condition requirements early in development.
• Apply BDD and structured test-design practices to critical platform capabilities and workflows.

Company Description