Full Stack Engineer with 3+ years in Java, Spring Boot & Microservices
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Assessing your cultural and operational fit
Java Full Stack Engineer with 3+ years of experience building and supporting enterprise applications across insurance, financial services, and networking domains. Skilled in Spring Boot, REST APIs, Microservices, Angular, Kafka, PostgreSQL, AWS, and CI/CD pipelines. Experienced in distributed systems, application modernisation, production support, cloud deployments, and delivering scalable business-critical solutions in Agile environments.
Meerut Institute of Engineering and Technology (AKTU)
BTech · Computer Science
August 1, 2019 – June 30, 2023
Cognizant Technology Solutions
Software Engineer (IDE – Java Full Stack Engineer)
September 1, 2023 – Present
Pune, Maharashtra, India
Ubiquiti Inc.
UI / Application Development Engineer
September 1, 2022 – March 1, 2023
Gurgaon, Haryana, India
Full-stack CRM application
September 1, 2023 – September 1, 2023
Developed a full-stack CRM application using Spring Boot, Angular, and MySQL as part of Cognizant's engineering training program. Implemented REST APIs and service management modules supporting customer and administrative workflows. Gained hands-on experience with microservices architecture, frontend-backend integration, and enterprise application development.
AWS Certified Solution Architect- Associate
Amazon Web Services (AWS)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different domains (insurance, financial services, networking) and involvement in a large-scale modernization initiative at Cognizant indicate adaptability and ability to work in diverse project environments. Their full-stack capabilities and exposure to various tools and technologies suggest a broad technical interest and willingness to learn, aligning well with dynamic team cultures. The project diversity and role alignment with a Full Stack Engineer target role are good.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through leading production issue resolution and owning feature enhancements. Their experience in Agile environments and participation in design, development, testing, and support activities suggest good operational fit. The use of AI-assisted tools indicates adaptability and a proactive approach to leveraging new technologies.