We are
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 22 countries within key global markets.
Role Summary
We are seeking a highly experienced Senior Software Development Engineer in Test (SDET) with expertise in AI and machine learning quality assurance. In this role, you will design, develop, and maintain scalable automated testing frameworks for software products that incorporate AI-powered features and services and you will work closely with software engineers, data scientists, product managers, and DevOps teams to establish robust testing strategies across the entire development lifecycle. The ideal candidate has strong software engineering skills, deep knowledge of test automation, and practical experience validating AI/ML systems for functionality, performance, reliability, security, and fairness.
Key Responsibilities
- Design and implement scalable, maintainable test automation frameworks for web, mobile, API, and backend systems.
- Develop comprehensive test strategies for AI/ML-powered products and services.
- Create automated tests for: Functional and regression testing, API and integration testing, End-to-end workflows, Performance, scalability, and reliability Data quality and pipeline validation Model accuracy and consistency Edge cases and failure scenarios, Security, privacy, and compliance
- Validate AI model outputs using appropriate metrics, benchmarks, test datasets, and acceptance criteria.
- Test generative AI systems, including: Prompt and response quality, Hallucination and factuality, Toxicity, bias, and harmful content, Prompt injection and jailbreak resistance
- Response consistency and latency, Retrieval-augmented generation (RAG) workflows Model and prompt regressions.
- Build tools and frameworks for test data generation, model evaluation, monitoring, and reporting.
- Integrate automated tests into CI/CD pipelines and enforce quality gates.
- Collaborate with development and data science teams to identify defects early and improve product quality.
- Investigate complex issues, perform root-cause analysis, and clearly communicate risks and recommendations.
- Establish quality metrics, dashboards, and reporting for software and AI/ML systems.
- Mentor junior and mid-level SDETs and promote engineering best practices.
- Contribute to test planning, code reviews, architecture discussions, and release readiness assessments.
- Stay current with emerging AI testing tools, methodologies, and industry standards.
Required Skills
- Experience in software development, test automation, SDET, or quality engineering roles.
- Strong programming experience in one or more languages, such as Python, Java, JavaScript, or TypeScript.
- Proven experience designing and maintaining automation frameworks.
- Strong knowledge of software testing principles, test strategy, and defect management.
- Experience testing RESTful APIs, microservices, databases, and distributed systems.
- Hands-on experience with tools such as Selenium, Playwright, Cypress, Appium, REST Assured, PyTest, JUnit, or equivalent.
- Experience with CI/CD tools and practices, such as GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or CircleCI.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Practical experience testing AI/ML systems, models, data pipelines, or AI-powered applications.
- Understanding of machine learning concepts, model evaluation, data validation, and statistical testing.
- Strong analytical, communication, troubleshooting, and problem-solving skills.
We offer:
- A highly competitive compensation and benefits package.
- A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
