Senior Software Engineer (SDET)

CareerXperts Consulting; Bengaluru Urban; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

A global AI-native B2B company is seeking a Senior Software Engineer (SDET) to lead quality engineering for AI and SaaS platforms. The role involves owning the QA strategy, building automation frameworks, and validating AI/ML pipelines. The ideal candidate should have 4+ years of QA automation experience with cloud-native systems and a solid grasp of CI/CD and DevOps workflows. This position offers opportunities for high ownership, real impact on product quality, and exposure to cutting-edge Generative AI systems.

Qualifications

• 4+ years in QA automation for cloud-native systems.
• Experience in hands-on testing of distributed systems and AI/GenAI platforms.
• Solid understanding of CI/CD pipelines and DevOps workflows.

Responsibilities

• Own QA strategy and automation for AI-driven SaaS products.
• Build scalable automation frameworks for API, UI, and data testing.
• Validate AI/ML pipelines, RAG systems, and model integrations.
• Drive performance, security, and regression testing at scale.
• Ensure end-to-end test coverage across microservices and cloud platforms.
• Integrate testing into CI/CD and Agile workflows.

Skills

QA automation

Testing of distributed systems

CI/CD pipelines

DevOps workflows

Job description

A global, enterprise-scale AI-native B2B company building advanced multimodal AI platforms. The organization helps large enterprises drive real outcomes using Generative AI, Knowledge AI, Emotion AI, automation, and AI copilots, powering secure, mission‑critical deployments at scale.

Role Overview

The Senior Software Engineer (SDET) will lead quality engineering for AI and SaaS platforms, combining automation‑first QA, AI/ML validation, and cloud‑native testing to ensure reliability and performance across complex systems.

Key Responsibilities

• Own QA strategy and automation for AI‑driven SaaS products
• Build scalable automation frameworks for API, UI, and data testing
• Validate AI/ML pipelines, RAG systems, and model integrations
• Drive performance, security, and regression testing at scale
• Ensure end‑to‑end test coverage across microservices and cloud platforms
• Integrate testing into CI/CD and Agile workflows

Required Skills

• 4+ years in QA automation for cloud‑native systems
• Hands‑on testing of distributed systems and AI/GenAI platforms
• Solid understanding of CI/CD pipelines and DevOps workflows

Why This Role

• High ownership and real impact on product quality
• Exposure to cutting‑edge Generative AI systems
• Strong growth path in AI‑focused quality engineering