Python developer with AI and SDET

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 17,000+, and has 58 offices in 22 countries within key global markets.

About the Role

We are seeking a skilled Python Developer – SDET & AI to join a high-performing engineering team focused on building intelligent, reliable, and scalable software solutions. This role combines Python development, software quality engineering, test automation, artificial intelligence, and machine learning to deliver robust products and exceptional user experiences.

The ideal candidate will have strong expertise in Python programming, test automation frameworks, AI-driven solutions, continuous integration and delivery, and modern software development practices. You will collaborate closely with developers, product managers, data scientists, and other engineering stakeholders to improve product quality and accelerate delivery.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Chicago, IL is $105k - $110k/year & benefits (see below).

Key Responsibilities

• Design, develop, and maintain scalable applications and automation solutions using Python.
• Build and enhance automated test frameworks for functional, integration, regression, API, performance, and end-to-end testing.
• Develop robust test strategies, test plans, test cases, and quality metrics.
• Integrate artificial intelligence and machine learning capabilities into software applications and testing processes.
• Explore the use of generative AI, natural language processing, predictive analytics, and intelligent automation to improve engineering efficiency.
• Develop AI-assisted testing solutions for test generation, defect prediction, test optimization, and root-cause analysis.
• Create and maintain API, UI, service-level, and data validation automation.
• Work with machine learning models, data pipelines, and AI services to support intelligent product capabilities.
• Collaborate with software engineers to identify quality risks and ensure testability, reliability, scalability, and maintainability.
• Integrate automated tests into CI/CD pipelines and support continuous testing practices.
• Troubleshoot application and automation issues across development, testing, and production environments.
• Review code, test scripts, technical designs, and implementation approaches.
• Monitor test results, analyze failures, and provide actionable recommendations.
• Contribute to engineering standards, reusable frameworks, documentation, and best practices.
• Participate in Agile ceremonies, technical discussions, sprint planning, and release activities.
• Promote quality engineering practices throughout the software development lifecycle.

Required Qualifications

• Strong proficiency in Python programming and object-oriented design.
• Extensive experience developing automation frameworks and maintainable test solutions.
• Strong knowledge of software development and software testing methodologies.
• Hands-on experience with testing tools and frameworks such as PyTest, Robot Framework, Selenium, Playwright, or similar technologies.
• Experience with API testing using tools and libraries such as REST Assured, Requests, Postman, or equivalent.
• Practical knowledge of unit, integration, system, regression, and end-to-end testing.
• Experience designing and implementing CI/CD pipelines using platforms such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Understanding of artificial intelligence, machine learning concepts, model validation, and AI application testing.
• Experience working with RESTful services, microservices, databases, and distributed systems.
• Proficiency with SQL and experience validating data across relational or NoSQL databases.
• Familiarity with Git-based version control and collaborative development workflows.
• Ability to analyze complex technical issues and perform effective root-cause analysis.
• Strong understanding of Agile and Scrum methodologies.
• Excellent communication, collaboration, problem-solving, and documentation skills.

Desired Qualifications

• Experience developing AI-powered applications or integrating machine learning models into software products.
• Knowledge of large language models, prompt engineering, retrieval-augmented generation, vector databases, and generative AI solutions.
• Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, Hugging Face, or equivalent.
• Familiarity with testing and evaluating AI systems for accuracy, reliability, bias, robustness, security, and performance.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Knowledge of Docker, Kubernetes, infrastructure automation, and cloud-native architectures.
• Experience with performance, load, stress, and scalability testing.
• Familiarity with event-driven systems, message brokers, and asynchronous processing.
• Experience working with observability tools, logging platforms, metrics, and distributed tracing.
• Exposure to secure software development practices and application security testing.
• Experience mentoring engineers and contributing to technical strategy or framework architecture.

Nice-to-Have

• Experience building intelligent test automation using generative AI or machine learning.
• Familiarity with model monitoring, model observability, and AI governance practices.
• Knowledge of computer vision, natural language processing, recommendation systems, or predictive modeling.
• Experience with synthetic test data generation and data quality validation.
• Contributions to open-source projects, internal engineering platforms, or reusable automation libraries.
• Relevant certifications in cloud computing, software testing, Python, artificial intelligence, or machine learning.
• Experience working in highly regulated, enterprise, or large-scale technology environments.
• Familiarity with behavior-driven development and specification-by-example practices.
• Strong interest in emerging technologies and the application of AI to software engineering.

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.