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Cognizant Technology Solutions Corporation is seeking a Full Stack Engineer to design, build, test, and enhance cloud-native applications supporting the R&D organization. You will collaborate with product owners, data experts, and engineering teams to deliver reliable, high-quality data-driven solutions.
This role blends full-stack development, cloud engineering, and system design. You will contribute to architecture, engineering best practices, and own features from development through
As a Full Stack Engineer, you will design, build, test, and enhance cloud-native applications that support the R&D organization. Working at the intersection of science and technology, you will collaborate with product owners, data experts, and engineering teams to deliver reliable, high-quality solutions that enable data-driven decision-making.
This role combines full-stack development, cloud engineering, and system design. You will contribute to architecture and engineering practices while building your technical depth and taking ownership of assigned features from development through deployment.
Design, develop, test, and maintain cloud-native applications across front-end and back-end systems
Build and enhance services within modern microservice-based and distributed architectures
Develop and integrate RESTful APIs and system interfaces for enterprise platforms
Contribute to infrastructure-as-code solutions and cloud environment configuration
Build, use, and improve CI/CD pipelines for automated deployment and delivery
Contribute to technical design, system architecture, and engineering standards under the guidance of senior engineers
Create and maintain technical documentation, including Low-Level Designs, Entity-Relationship diagrams, and component or class diagrams
Work with stakeholders and senior team members to translate business requirements into effective technical solutions
Develop and maintain automated tests, including unit, integration, and end-to-end tests
Monitor applications and troubleshoot production issues related to performance and reliability
Follow security, compliance, and operational standards throughout the software development lifecycle
Work closely with product managers, data subject-matter experts, and cross-functional teams
Participate in Agile development activities, including sprint planning, code reviews, demonstrations, and retrospectives
Collaborate with global teams and vendors to deliver assigned features and technical solutions
Communicate progress, risks, and technical considerations clearly to team members and stakeholders
Integrate applications with enterprise R&D systems and scientific data platforms
Support data ingestion, transformation, access, and application integration
Contribute to system interoperability using data models, metadata standards, and enterprise integration patterns
Contribute ideas that improve development processes, tools, code quality, and maintainability
Help identify and reduce technical debt
Use AI-assisted development tools responsibly to improve productivity and software quality
Build knowledge of cloud-native engineering, R&D platforms, and relevant business domains
Take ownership of assigned features and components from development through deployment and support
Seek guidance when needed and incorporate feedback from code reviews and technical discussions
Investigate technical issues, propose solutions, and elevate complex design decisions appropriately
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
2+ years of software engineering or application development experience
Experience with Python
Experience with JavaScript
Experience developing front-end and back-end application components
Experience with the React JavaScript framework
Foundational hands-on experience with AWS cloud services, such as EC2, RDS, or S3
Familiarity with infrastructure-as-code concepts and tools such as Terraform
Understanding of microservices, cloud-native design, and REST API development
Experience working with relational databases, such as Oracle, PostgreSQL, or MySQL
Familiarity with NoSQL databases, such as DynamoDB or Neptune
Basic knowledge of data pipelines or data-processing platforms, such as Spark or Databricks
Understanding of system design fundamentals and data modeling
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.