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
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000+ associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.