Senior SDET

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.

Required Skills & Experience

Software Engineering

Strong development experience in one or more programming languages, such as:

• Java

• Python

• JavaScript / TypeScript

• C#

Experience designing maintainable, production-quality code used for automation, tooling, or internal engineering platforms.

Test Engineering

Experience building automated validation across:

• APIs and service layers

• integration workflows

• user interfaces (where appropriate)

Experience with modern automation frameworks such as:

• Playwright

• Selenium / WebDriverIO

• Cypress

• Pytest / JUnit / NUnit

Engineering Tooling & Test Infrastructure

Experience building or maintaining engineering tools such as:

• test harnesses

• mock or stub services

• simulation tools

• test data generators

• environment validation utilities

Ability to design solutions that enable developers to test systems more effectively.

CI/CD & Platform Integration

Experience integrating automated testing into pipelines such as:

• Azure DevOps

• GitHub Actions

• Jenkins

Familiarity with modern engineering environments including:

• Git-based development workflows

• containerised environments (Docker)

• cloud platforms and distributed systems

Data & Diagnostics

Experience working with databases such as:

• PostgreSQL

• MySQL

• MongoDB

Ability to investigate issues using logs, queries, and system diagnostics.

Nice to Have

Experience with:

• Performance testing tools (k6, JMeter, Locust)

• Observability platforms (Grafana, Prometheus, ELK)

• Container orchestration platforms such as Kubernetes

• Distributed system testing

• AI-assisted development or AI-enabled testing approaches

What We Value

We are looking for engineers who:

• Enjoy building tools and systems, not just writing tests

• Think about quality at a system and architecture level

• Are comfortable debugging across services, infrastructure, and data

• Take ownership of improving engineering practices

• Continuously look for ways to increase reliability and developer productivity