Senior Software Development Engineer in Test (SDET)
Ref No - REF659I
Location: Bangalore (Hybrid)
Experience: 5–10+ Years
About the Role
We are looking for a Senior Software Development Engineer in Test (SDET) who approaches quality as an engineering discipline.
This role goes beyond writing automated tests; you will design and build systems that enable scalable, reliable testing, including tools, frameworks, and supporting services that improve how teams validate software.
You will work across multiple layers of the engineering ecosystem, helping teams validate APIs, services, data flows, and user journeys, while building the supporting tooling that makes testing faster, more reliable, and more insightful.
This role is well suited to engineers who enjoy building internal platforms, automation utilities, test harnesses, data tooling, and diagnostic systems, and who are building/leveraging approaches such as AI-assisted testing and intelligent quality tooling.
Key Responsibilities
Engineering for Quality
Design and build engineering solutions that support quality at scale, including:
Test harnesses for validating services and distributed systems
Stubs and mocks for isolating dependencies
Simulation frameworks for testing complex workflows
Internal tooling that enables developers to validate their systems earlier
Develop reusable components that allow teams to test services and integrations without relying on full environments.
Test Infrastructure & Tooling
Build and maintain the technical infrastructure that enables effective testing, including:
Automation frameworks for UI, API, and integration testing
Test data generation and environment validation tools
Diagnostics and debugging utilities
Execution orchestration tools for CI/CD environments
Develop internal libraries, utilities, and services that improve the reliability and speed of automated validation.
AI-Driven Quality Engineering
Deisng and implement AI-assisted approaches to improving quality engineering, such as:
AI-assisted test generation
automated defect analysis
intelligent test maintenance
anomaly detection in test results
Contribute to the development of internal AI-enabled tooling that improves testing efficiency and insight
Observability & Quality Insights
Design and build reporting and analytics capabilities that provide insight into system quality, including:
Test execution reporting dashboards
Quality metrics and trend analysis
Integration with observability platforms
Defect and reliability analysis tooling
Leverage data to provide actionable insights into product stability, coverage, and risk.
System-Level Validation
Work across the full system stack to validate behaviour including:
APIs and service interactions
Distributed systems and microservices
Data pipelines and persistence layers
Integration points between internal and external services
Investigate failures by analysing logs, metrics, traces, and system behaviour, identifying root causes rather than simply reporting defects.
CI/CD & Engineering Integration
Embed automated validation into development workflows by integrating testing into:
CI/CD pipelines
Pull request validation
environment readiness checks
deployment verification processes
Collaborate with platform and DevOps teams to ensure quality checks are automated, scalable, and reliable.