AI-Driven Python Developer | SDET & ML Testing Pro

Synechron

Chicago (IL)

Presencial

USD 105 000 - 110 000

Tempo integral

Há 12 dias

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Vantagens oferecidas por esta oferta de emprego

Competitive pay

Global offices

Paid time off

Parental leave

Insurance plan

Retirement savings

Education policy

Commuter benefits

Udemy access

Training opportunities

Coaching by FinLabs

Top banking projects

Diverse culture

Resumo da oferta

Synechron is seeking a Python Developer - SDET & AI to join a high-performing engineering team building intelligent, reliable software solutions. You will blend Python development, test automation, and AI-driven testing to deliver robust products and exceptional user experiences.

The role requires strong Python skills, experience with automation frameworks, CI/CD, and AI testing. Collaboration with data scientists and engineers is essential, with opportunities to work on cutting-edge AI

Qualificações

Proficient in Python programming and OOP
Experience building automation frameworks and maintainable test solutions
Solid knowledge of software testing methodologies
Hands-on with PyTest, Robot Framework, Selenium, Playwright or similar
API testing with REST Assured, Requests, Postman or equivalent
Experience with unit, integration, system, regression, end-to-end testing
CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI or Azure DevOps
Understanding AI, ML concepts, model validation and AI testing
Experience with RESTful services, microservices, databases, distributed systems
SQL proficiency and data validation in relational/NoSQL databases
Git-based version control and collaborative workflows
Strong problem solving and root-cause analysis
Strong Agile/Scrum understanding
Excellent communication and documentation skills

Responsabilidades

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