Role Overview

Lead cross-team quality engineering initiatives in partnership with QA, Engineering Managers, and developers, with primary focus on back-end services.
Define and drive automation strategy and standards (framework design, maintainability, reliability), raising the quality bar across teams.
Guide tooling decisions for service automation, including API testing, contract validation, test data and AI tools approaches.
Build and evolve GraphQL and REST back-end automation capabilities for microservices and event-driven workflows, emphasizing service reliability and data integrity.
Improve CI/CD validation by strengthening service-level test pipelines, environment readiness, and dependable test data setup.
Diagnose and reduce back-end quality risks by targeting distributed-system failure modes such as race conditions and consistency issues.
Mentor QA engineers on service testing patterns, debugging approach, and practical automation design.
Partner with developers on triage and root-cause analysis using logs, traces, and request/response evidence.
The ideal candidate demonstrates strong ownership of their growth, actively learning new technologies and patterns as needed to improve quality outcomes.

Requirements

Bachelor’s degree in computer science/engineering or equivalent technical experience.
5+ years of software engineering experience, including automation across functional, end-to-end, regression, quality monitoring and performance testing for web-based, microservices systems.
Strong programming fundamentals with the ability to work across languages; experience with TypeScript and Go is required.
Deep back-end automation experience, including GraphQL API testing (required) and working knowledge of REST and SQL-based validation.
Ability to innovate, design and maintain scalable automation frameworks, including service-level tests and test data strategy.
Hands-on experience building automation into CI/CD and managing quality gates using tools such as GitHub Actions (Bazel familiarity is a plus).
Experience with API tooling (for example Postman-style tools) and cloud testing platforms (BrowserStack/LambdaTest); Appium experience for mobile testing is required.
Working knowledge of cloud/container environments (Docker, Kubernetes) and comfort troubleshooting distributed systems using logs and service-to-service signals.
Strong analytical and leadership skills with a track record of influencing cross-functional teams and communicating technical risk clearly.
Demonstrated documentation skills for engineering-facing standards and workflows (for example API/service testing standards).
Practical experience using AI-assisted development tools to accelerate automation delivery while maintaining quality, readability, and maintainability.
Awareness of network and security fundamentals relevant to back-end testing (authentication/authorization, headers, tokens, and common failure modes).
Adaptable, self-driven, and motivated to learn new technologies and domains quickly in a fast-paced, distributed environment.

Tech Stack

Cloud
Distributed Systems
Docker
GraphQL
Kubernetes
Microservices
SQL
TypeScript
Go

Benefits

Professional development opportunities

Sotheby's

Open Positions (1)

Engineering

Senior Software Engineer – Quality Engineering