Quality Engineer (SDET)

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.

You will design and build scalable quality engineering solutions, partner deeply with developers and architects, and ensure quality is designed in, automated, observable, and enforced across the SDLC.

What You’ll Do

• 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

What We’re Looking For (Must Have)

Core Engineering

• 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 (Team City, Jenkins, Git Hub)
• 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
• Ability 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
• 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

Benefits

• Healthcare insurance for you and your family (medical, dental, vision).
• Short / Long term disability insurance.
• Life Insurance.
• Accidental death & disability Insurance.
• 401K.
• 3 weeks of Paid Time Off.
• Support and fee coverage for immigration needs.
• Remote office set up stipend.
• Support for industry certifications.
• Additional cash incentives.
• Re-skilling opportunities to transition between technologies.

Schedule

Monday to Friday

Work Mode

Hybrid

Job Type

Full-time