The Associate Lead Software Engineer is responsible for designing, developing, and maintaining scalable software solutions that enhance engineering productivity, automation maturity, and software quality across the organisation.

This role combines strong software development expertise with modern quality engineering practices to build automation frameworks, developer tooling, CI/CD integrations, AI-assisted testing solutions, and reusable engineering platforms. The position will collaborate closely with development, product, DevOps, platform engineering, and quality teams to deliver innovative solutions that improve development efficiency and release confidence.

The ideal candidate is a hands-on engineer with strong programming skills, experience building automation frameworks and cloud-native applications, and a passion for leveraging AI and modern engineering practices to solve complex business challenges.

What You'll Own

• Design and develop enterprise automation frameworks, test platforms, and reusable engineering accelerators.
• Build AI-enabled solutions that improve test generation, quality insights, and engineering productivity.
• Develop integrations with CI/CD pipelines, source control systems, and developer tooling platforms.
• Create scalable services and applications that support quality engineering, observability, and release readiness.
• Collaborate with cross-functional teams to identify automation opportunities and implement innovative engineering solutions.

What You'll Bring

• Strong software development experience in Java, Python, JavaScript/TypeScript, or similar modern programming languages.
• Experience designing and developing automation frameworks, APIs, microservices, or developer tooling solutions.
• Knowledge of CI/CD pipelines, GitHub, cloud platforms, and DevOps practices.
• Understanding of software testing methodologies and quality engineering principles.
• Strong problem-solving, stakeholder management, and collaboration skills.

It's a Bonus If You Have

• Experience with Generative AI, AI agents, or AI-assisted software development tools.
• Experience with Playwright, Selenium, Cypress, or enterprise test automation platforms.
• Experience in cloud-native environments such as Azure, AWS, or GCP.
• Knowledge of observability, performance engineering, or platform engineering practices.

Business Impact

• Accelerates engineering productivity through reusable automation solutions.
• Improves software quality by embedding quality practices into development workflows.
• Reduces manual effort through platform-based automation and AI-enabled capabilities.
• Enables scalable adoption of enterprise engineering standards and frameworks.
• Supports faster, more reliable software delivery across product teams.

Why this title works: It positions the employee as a software engineer first and a quality enabler second, which is typically easier to attract strong development talent while still supporting your Testing CoE, TestGenie, AI automation, and engineering enablement initiatives. It also creates a stronger long-term growth path into Lead Software Engineer → Principal Engineer → Architect compared to a traditional SDET ladder.