Senior QA Automation Engineer

About the role

We are building an engineering-first Quality Engineering (QE) team focused on developer-grade automation, system reliability, and production excellence across mission-critical platforms. This is not a traditional QA role. We hire developers who engineer quality, not testers who execute scripts.

Responsibilities

• Build scalable automation frameworks across UI, API, integration & event-driven layers
• Act as a quality architect, influencing system design, testability & release readiness
• Embed automated quality gates into CI/CD pipelines
• Engineer quality for distributed systems, microservices, and high-availability platforms
• Leverage AI / GenAI to accelerate test design, automation development, evaluation, and debugging
• Practice Spec-Driven Development (SDD) to align specifications, implementation, and validation
• Own end-to-end production quality, including release certification & incident triage

Requirements

• Core Engineering Expert-level Java / Python (OOP, data structures, design patterns)
• Proven experience building automation frameworks from scratch
• Hands-on Playwright experience for modern UI automation
• Strong API and integration testing (REST, microservices)
• Ci/Cd experience with automated quality gates (TeamCity, Jenkins, GitHub)
• Solid understanding & proficiency with SQL, handling backend data stores and performing data validation
• Experience validating high-availability, low-latency systems
• Practical, maintainable BDD implementations
• Distributed Systems & Reliability
• Strong understanding of microservices and event-driven architectures
• Experience with performance, load, stress, and resilience testing
• Able to debug using logs, metrics, and traces
• Using production telemetry to guide quality strategy
• AI-Driven & Spec-Driven Engineering (Must-have)
• Hands-on use of AI / GenAI tools for test design, automation coding, and debugging
• Strong AI evaluation skills—validating AI-generated code and tests
• Expertise in prompt engineering and context management
• Proven Spec-Driven Development (SDD) experience
• Experience using and developing Agents, Skills and Model Context Protocol (MCP) integrations
• Ability to embed AI-assisted QE workflows safely into CI/CD
• Strong understanding of responsible AI usage and verification of AI outputs
• Quality Ownership
• Experience with release certification, regression strategy, and production validation
• Hands-on incident triage and root-cause analysis
• Willingness to support production releases, including on-call rotations

Qualifications

• Perfecto, JMeter etc.

Skills

• Perfecto, JMeter etc.

Benefits

• Flexible work schedule
• Competitive salary range: $52,000 to $110,000

Pay

• $52,000 to $110,000

Schedule

• Full-time