Help & Supportcareers@gravityer.com
Fullstack Engineer with 4+ years in Microservices & Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Java Full-Stack Engineer with 4 years of experience building enterprise-grade microservices platforms using Spring Boot, Angular, REST APIs, and Apache Kafka. Proven expertise in event-driven architecture (Kafka), security (JWT, OAuth), performance optimization (Redis – 30% improvement), and fault-tolerant design (Circuit Breaker). Strong background in CI/CD, Docker/Kubernetes, and cloud-native deployment on AWS and Azure – well-aligned with need for engineers who can own complex, scalable full-stack systems end to end.
Jain University
BSc in Media & Web Development · Media & Web Development
August 1, 2019 – June 30, 2022
Virtusa Consulting Services Pvt Ltd
Java Full-Stack Engineer
January 1, 2022 – Present
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's experience in architecting and delivering complex microservices platforms, coupled with significant contributions to DevOps and cloud infrastructure, indicates a strong fit for a dynamic, fast-paced engineering culture. The mention of working across 3 development teams for API integration suggests good collaboration skills. The diverse skill set across backend, frontend, and DevOps aligns well with a culture that values end-to-end ownership and cross-functional capabilities. The focus on performance and reliability improvements also points to a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through quantifiable improvements (e.g., reducing response time, optimizing queries). The detailed descriptions of architecting microservices, implementing security, and setting up CI/CD pipelines suggest a proactive and ownership-driven approach. The use of Resilience4j indicates an understanding of building resilient systems, which is critical for operational stability. The breadth of technologies used implies adaptability and a continuous learning mindset.