Core Backend Quality Engineer

We are an AI-first company building enterprise-grade backend systems used by thousands of organizations worldwide. Our Core Team is responsible for the stability, correctness, and reliability of the platform’s most critical backend services - the systems that power everything under the hood.

We’re looking for a Core Backend Quality Engineer who thinks like an engineer, debugs like a developer, and tests like a system architect. This is not a UI testing role. This is deep backend quality engineering across complex, multi-service environments - where logs, APIs, architecture diagrams, and AI-assisted tooling are your daily toolkit.

If you thrive on understanding how systems behave, pinpointing root causes, and using AI to accelerate everything you do - you’ll feel right at home.

The Role

As a Core Backend Quality Engineer, you will ensure the quality of our backend platform by analyzing system behavior, debugging across multiple services, and validating complex flows that run behind the scenes. You will work closely with developers, DevOps, IT, and SaaSOps to ensure our core systems remain stable, predictable, and production-ready.

This is a technical individual contributor role with high ownership, high complexity, and high expectations.

Responsibilities

Backend Quality & System Debugging

• Reproduce, analyze, and investigate backend issues reported by support and internal teams.
• Debug across multiple microservices using logs, traces, and architecture flows.
• Identify root causes quickly - from API behavior to data inconsistencies to service interactions.
• Validate defect fixes and ensure no regressions or side effects across the system.
• Collaborate with DevOps, IT, and SaaSOps when issues involve infrastructure, permissions, or environment behavior.

AI-Driven Testing & Analysis

• Use AI tools (GitHub Copilot, Cursor, Cline, Claude Code) daily to accelerate test creation, debugging, and analysis.
• Generate automated tests using AI - API tests, integration tests, regression suites.
• Use AI to analyze logs, detect patterns, and propose root-cause hypotheses.
• Use AI to improve documentation, test planning, and coverage analysis.

Automation & Backend Testing

• Write automated tests regularly using JavaScript/TypeScript (Jest, Cucumber.js).
• Test REST, gRPC, and other backend APIs.
• Validate multi-service flows and backend interactions.
• Improve test reliability, coverage, and maintainability.
• Work with BrowserStack (advantage) for test management.

Engineering-Level Quality Work

• Understand backend architecture diagrams, service boundaries, and data flows.
• Analyze SQL data for validation, debugging, and test setup.
• Work with CI/CD pipelines (GitHub Actions) as part of daily workflow.
• Improve internal testing tools and processes for efficiency and accuracy.
• Report test progress, results, and issues clearly and effectively.

Requirements

Must-Have

• 3+ years in technical roles (backend QA, automation, support engineering, systems analysis).
• Strong analytical skills - from architecture to implementation.
• Experience testing backend APIs (REST, gRPC, Postman, gRPCurl, JMeter).
• Hands-on experience with JavaScript/TypeScript test tools (Jest, Cucumber.js).
• AI-first mindset - daily use of AI tools for testing, debugging, and documentation.
• Ability to read, understand, and analyze backend logs.
• SQL proficiency for debugging and data validation.
• Strong communication skills - able to collaborate with DevOps/IT/SaaSOps when needed.
• Fluent English.

Big Advantages

• Experience with CI/CD (GitHub Actions).
• Experience with log/monitoring tools (Datadog).
• Experience debugging enterprise-grade backend systems.
• Scripting knowledge (PowerShell, Bash, JavaScript).
• Experience with multi-service or microservices architectures.

What This Role Is

• Deep backend quality engineering.
• System-level debugging.
• AI-accelerated testing.
• Multi-service analysis.
• High complexity, high ownership.

What This Role Is Not

• UI testing.
• Manual click-through testing.
• QA bootcamp entry-level work.
• Surface-level validation.

This role requires engineering-level thinking, fast learning, and the ability to understand complex backend systems quickly.