AI Enabled SDET
SFE
Job Description
Must Have Technical/Functional Skills
What We are Looking for (Must-Have)
Core Engineering
Should have 5-8 years of experience
Expert-level Java and/or Python (OOP, Data Structures, Design Patterns)
Proven experience building automation frameworks from scratch
Hands-on Playwright expertise for modern UI automation
Strong API & integration testing (REST, microservices)
CI/CD experience with automated quality gates (TeamCity, Jenkins, GitHub)
Solid understanding & proficiency with SQL, handling backend stores and performing data validation
Experience validating high-availability, low-latency systems 2
Practical, maintainable BDD implementations.
Technical Skills: Java, Python, GenAI, Prompt Engineering, Playwright, API Testing, Microservices Testing, SQL, CI/CD, Jenkins, GitHub Actions, Test Automation Frameworks, Observability (Logs/Metrics/Traces), AI Evaluation Frameworks, MCP, AI Agents, Spec-Driven Development, Quality Engineering, SDET.
Roles & Responsibilities
About the Role:
The organization is 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.
The candidate is expected to design and build scalable quality engineering solutions, partner deeply with developers and architects, and ensure quality is designed in, automated, observable, and enforced across SDLC.
Key Responsibilities
Quality Engineering & Automation
Build scalable automation frameworks from scratch 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 Microservices, Distributed systems 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 and incident triage.
Reliability & Distributed Systems
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, including validating AI-generated code and tests.
Expertise in prompt engineering and context management.
Proven experience with spec-driven development (SDD).
Experience using and developing agents, skills, and Model Context Protocol (MCP) integrations.
A bility to safely embed AI-assisted QE workflows into CI/CD pipelines.
Strong understanding of responsible AI usage and verification of AI-generated outputs.
Quality Ownership
Experience with release certification, regression strategy, and production validation.
Hands-on experience with incident triage and root cause analysis.
Willingness to support production releases, including on-call rotations.
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