Information Technology_USA - USA_Developer
Real Soft
AI Enabled SDET 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.
- Ability 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.
Vacancy posted 3 days ago
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