Description – External
Design and operate scalable, production‑grade backend systems with a strong emphasis on asynchronous processing, data integrity, observability, performance optimization, and safe deployment practices. This is a hands‑on full‑stack role focused on building modern, cloud‑native applications in a microservices environment.
About the role
We are seeking a hands‑on Full Stack Engineer with strong backend expertise in Python and modern frontend experience using React. The role involves developing, optimizing, and maintaining distributed systems and APIs while collaborating with cross‑functional teams to deliver reliable and scalable solutions.
In this role you will
• Implement features across frontend (React) and backend (Python/FastAPI)
• Design, develop, and maintain RESTful APIs following best practices
• Build asynchronous backend services using Python frameworks such as FastAPI, Django, or Flask
• Optimize API performance, database queries, and UI components
• Work with relational and NoSQL databases to ensure efficient schema design and indexing
• Develop and maintain microservices in distributed system architectures
• Contribute to system design with focus on scalability, performance, and reliability
• Deploy and operate services in production with strong observability and monitoring
• Work with CI/CD pipelines to support safe and automated deployments
Work Model: Hybrid – from the United States
What you need to have to be considered
• Strong hands‑on experience with Python (FastAPI, Django, Flask)
• Experience with async programming using async/await
• Expertise in RESTful API design and implementation
• Experience with SQLAlchemy ORM
• Hands‑on experience with modern React using hooks
• Proficiency in JavaScript or TypeScript
• Experience with state management (Redux or Context API)
• Familiarity with Material‑UI or similar component libraries
• Production experience with PostgreSQL, including query optimization
• Experience with MongoDB
• Strong SQL skills including complex queries, indexing, and schema design
• Hands‑on experience with Azure, TKGI, or PCF
• Experience with Docker containerization
• Experience with Kubernetes or EKS
• CI/CD experience using Jenkins, GitLab CI, or GitHub Actions
• Experience working in microservices and distributed systems
• Strong understanding of system design principles and API patterns
These will help you stand out
• Experience integrating AI/ML capabilities into applications
• Familiarity with LangChain or other LLM orchestration frameworks
• Experience with OpenAI or similar LLM APIs
• Experience with graph databases such as Neo4j (Cypher)
• Experience with vector databases including Pinecone, Weaviate, or pgvector
Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
The annual salary for this position is between $83,600 – $129,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical, Dental, Vision, and Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long‑term and Short‑term Disability
• Employee Stock Purchase Plan
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
薪酬信息截至本职位发布之日为准确。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
