Title: Full Stack lead Developer Java, Angular, Scala Location: Louisville United States Job category: Digital Work model: Work from Home Job Description: We are seeking a highly skilled Full Stack Engineer with 3+ years of experience in Angular and Java, along with hands-on exposure to Scala and Apache Spark, to join our team. The ideal candidate will have expertise in Angular (TypeScript, RxJS), Java (Spring Boot, Spring MVC), RESTful API development, and database technologies (SQL and NoSQL). You will play a key role in designing, developing, and delivering scalable end-to-end solutions, spanning responsive frontend applications, robust backend services, and efficient data processing pipelines, while collaborating with cross-functional teams to drive innovation and business success. Important Disclaimers: Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs. Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future In this role, you will: Frontend (Angular) - Design and develop dynamic, responsive web applications using Angular - Build reusable, modular components and Angular modules - Manage application state and data flow using RxJS and NgRx/NgXS - Integrate RESTful APIs and handle asynchronous data streams - Ensure performance optimization, lazy loading, and accessibility standards - Collaborate with UX/UI designers to deliver intuitive user experiences Backend (Java) - Design, develop, and maintain scalable backend services using Java (Spring Boot / Spring MVC) - Build and expose RESTful or GraphQL APIs for frontend consumption - Implement business logic, workflows, and data processing layers - Manage authentication and authorization using Spring Security, OAuth2, or JWT - Work with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.) - Optimize application performance, memory management, and scalability Data / Big Data Engineering (Scala) - Develop data pipelines and processing workflows using Scala and Apache Spark - Build and maintain ETL/ELT processes for large-scale data processing - Work with distributed data systems such as Kafka, Hadoop, or Flink - Optimize Scala code for performance in high-throughput, low-latency environments - Collaborate with data engineers and analysts to deliver data-driven features - Work with cloud data platforms such as AWS EMR, Databricks, or GCP Dataproc Work model: Remote Location: Louisville - Kentucky What you need to have to be considered: - 3+ years of hands-on experience with Java (Spring Boot, Spring MVC, Hibernate) - 3+ years of experience with Angular (TypeScript, RxJS, Angular CLI) - 1+ years of experience with Scala and Apache Spark - Strong knowledge of RESTful API design and development - Proficiency in SQL and NoSQL databases - Experience with Git version control and branching strategies - Familiarity with Agile / Scrum development methodology Good to Have - Experience with microservices architecture and containerization (Docker, Kubernetes) - Knowledge of cloud platforms: AWS, Azure, or GCP - Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions) Salary and Other Compensation: The annual salary for this position is between $120,500K - $141,500 K 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/Life Insurance - Paid holidays plus Paid Time Off - 401(k) plan and contributions - Long-term/Short-term Disability - Paid Parental Leave - Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits 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