SDET III

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an SDET III in India.

We are seeking a highly experienced and innovative Software Development Engineer in Test (SDET III) to lead the quality assurance strategy for cutting-edge AI-driven financial technology platforms. In this role, you will design and implement advanced test automation frameworks, ensuring the reliability, scalability, and performance of complex Conversational AI and fintech systems. You will collaborate closely with AI engineers, product teams, and platform architects to embed quality throughout the development lifecycle. This role requires ownership of end-to-end testing, including functional, performance, security, and AI-specific validations, while mentoring junior team members and promoting best practices. The environment is fast-paced, remote-friendly, and focused on innovation, problem-solving, and professional growth.

Accountabilities:

· Lead the design and execution of comprehensive test strategies covering functional, performance, security, and scalability aspects of AI-driven platforms.

· Develop advanced, reusable test automation frameworks tailored to complex AI workflows, beyond standard tools like Selenium, Playwright, Appium, or RestAssured.

· Design innovative testing approaches for NLP, Voice models, intent recognition, and dialogue flows to ensure real-world reliability.

· Own end-to-end quality for critical initiatives, including test planning, execution, and integration with CI/CD pipelines (e.g., Jenkins, GitHub Actions).

· Mentor junior SDETs and engineers on test automation best practices, AI tool adoption, and system-wide quality approaches.

· Conduct load, stress, and latency testing for distributed systems handling high-volume financial transactions.

· Maintain detailed documentation of test architectures and lead proof-of-concept initiatives for new tools, frameworks, or languages.

· Apply advanced prompt engineering techniques for testing LLMs and AI-driven features within production workflows.

· years of experience in software testing, with 3+ years as an SDET building automation frameworks in product or platform environments.

· High proficiency in Java (or Python) for test automation, with deep knowledge of design patterns and reusable components.

· Hands-on experience with tools such as Selenium, Appium, RestAssured, TestNG, Cucumber, or equivalents.

· Strong understanding of microservices, REST APIs, and real-time systems (e.g., WebSockets, server-sent events).

· Experience with CI/CD pipelines (Jenkins, GitHub Actions) and containerized environments (Docker, Kubernetes).

· Exposure to AI/ML system testing (LLM, NLP, Chatbots) or fintech applications is a strong plus.

· Proven leadership skills, including mentoring teams, driving cross-team collaboration, and leading initiatives.

· Strong problem-solving skills with the ability to tackle high-stakes, ambiguous challenges.

· Excellent written and verbal communication skills to convey complex technical concepts to diverse stakeholders.

· Nice to have: experience with cloud platforms (AWS, GCP, Azure), infrastructure-as-code tools (Terraform, Ansible), and security testing practices (e.g., OWASP standards).

· Competitive salary and performance-based incentives.

· Fully remote work with flexible scheduling.

· Opportunities to work on pioneering AI-driven fintech products.

· Professional development, mentorship, and career growth opportunities.

· Collaborative and inclusive work environment.

· Health and wellness benefits, including insurance coverage.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile undergoes an AI-powered screening designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the role's core requirements and past success factors to determine your match score.
Based on this analysis, the three candidates with the highest match are automatically shortlisted.
When needed, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are determined by their internal hiring team.

Thank you for your interest

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