We are looking for a talented Python Engineer with hands-on experience building high quality, scalable server less applications. You will work closely with the Lead Engineer to design, build, and enhance the Digital Onboarding Service (DOS) used across the client API Platform.
This role is ideal for someone who is strong in Python, confident working with architects and APIs, and comfortable delivering features within an Agile delivery team.
Responsibilities:
- Develop high quality, secure, and maintainable features for the client Digital Onboarding Service using Python on the backend in a serverless and containerized architecture with a NextJS/React client frontend.
- Design, develop, and maintain scalable RESTful APIs and microservices using Python frameworks such as FastAPI or Flask.
- Build and support cloud-native solutions leveraging AWS services including Lambda, ECS Fargate, API Gateway, DynamoDB, S3, Secrets Manager, and CloudWatch.
- Work closely with the Lead React Engineer, Technical Architects, and Engineering teams to implement technical designs, architectural patterns, and coding standards.
- Collaborate with product managers, designers, and client stakeholders to translate business requirements into robust technical solutions.
- Design and implement integrations with internal client systems and external third-party APIs using REST, webhooks, and event-driven integration patterns.
- Apply software engineering best practices, including SOLID principles, Clean Architecture, Repository Pattern, Factory Pattern, Strategy Pattern, Dependency Injection, and other design patterns to create maintainable and extensible solutions.
- Implement resilient solutions using retry mechanisms, error handling strategies, circuit breaker patterns, dead-letter queues, and asynchronous messaging.
- Work within established development and release processes to ensure high-quality software delivery. Contribute to code quality, automated testing, performance optimization, and system reliability improvements.
- Support CI/CD deployment pipelines and collaborate with DevOps teams to ensure smooth and reliable application delivery.
- Contribute to documentation, knowledge sharing, and continuous improvement within the engineering team.
Requirements:
- Professional software engineering experience.
- Strong commercial experience with Python using FastAPI, Flask, or similar backend frameworks.
- Extensive experience developing RESTful APIs, microservices, and backend services.
- Strong hands-on experience with AWS cloud services, including ECS Fargate, Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Step Functions, IAM, Secrets Manager, and CloudWatch.
- Strong experience with serverless deployment and architecture patterns.
- Experience developing and deploying containerized applications using Docker and AWS ECS/Fargate.
- Experience integrating with third-party APIs, enterprise platforms, and external services.
- Strong understanding of software design patterns, object-oriented programming principles, clean code practices, and distributed system design.
- Experience implementing API security using OAuth2, JWT, OpenID Connect, API Keys, and secure authentication/authorization mechanisms.
- Experience with relational and NoSQL databases such as PostgreSQL, MySQL, Aurora, or DynamoDB.
- Experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation) is highly desirable.
- Good understanding of software deployment processes, application monitoring, logging, and environment management.
- Experience working in secure or regulated environments (e.g., healthcare, finance, government) is beneficial.
- Understanding of data protection, access control, and secure software development practices.
- Experience working within Agile/Scrum delivery environments.
Nice-to-Have Skills:
- Experience with React/NextJS.
- Experience with automated testing frameworks such as Pytest, Unit Testing, Integration Testing, and API Testing.
- Exposure to WebSockets, event-driven architectures, or real-time data patterns.
- Familiarity with modern authentication approaches such as OAuth2, OpenID Connect, JWT, and AWS Cognito.
- Experience with OpenAPI/Swagger specifications and API lifecycle management.
- Experience with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or AWS CodePipeline.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
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申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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