Kshitij Shrivastava

Jio Platforms Limited

Mumbai, Maharashtra, India

Since February 17, 2026

JavaReact.jsDocker / KubernetesLinuxGit-GitHubMysqlNosqlSoftware Developers

Jio Platforms Limited

Full Stack Developer

January 1, 2022 – Present

Mumbai

Java R&D Pvt. Ltd. (Client : Verizon)

Software Engineer

October 1, 2020 – October 1, 2021

Bhopal

Demonstrated strong leadership and collaboration skills, leading teams and cross-team initiatives in complex projects.
Extensive experience in designing and deploying cloud-native microservices, specifically in the 5G domain (PCF Java microservice).
Proven expertise in performance optimization, low-latency systems, and concurrency (e.g., Lettuce API, I/O thread pool).
Strong background in high-availability architecture design, failover mechanisms, and ensuring high uptime (99.99%).
Proficient in CI/CD pipeline implementation, automation, and reducing deployment times.
Solid understanding of distributed systems, including messaging (Redis Streams, Kafka), service discovery (Eureka), and fault tolerance (Resilience4j, rate limiting).
Experience with Spring Boot, RESTful API development, and database optimization (MySQL batching, efficient queries).
Familiarity with cloud services (AWS: Lambda, S3, RDS, CloudWatch) and containerization (Docker, K8s).
Ability to align technical solutions with business and service requirements, as evidenced by developing use cases and policy rules.

Cultural Fit Analysis

Insufficient data. Psychometric test scores are not available for evaluation.

Soft Skills & Operational Fit

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Assessing your cultural and operational fit

Demonstrated strong leadership and collaboration skills, leading teams and cross-team initiatives in complex projects.
Extensive experience in designing and deploying cloud-native microservices, specifically in the 5G domain (PCF Java microservice).
Proven expertise in performance optimization, low-latency systems, and concurrency (e.g., Lettuce API, I/O thread pool).
Strong background in high-availability architecture design, failover mechanisms, and ensuring high uptime (99.99%).
Proficient in CI/CD pipeline implementation, automation, and reducing deployment times.
Solid understanding of distributed systems, including messaging (Redis Streams, Kafka), service discovery (Eureka), and fault tolerance (Resilience4j, rate limiting).
Experience with Spring Boot, RESTful API development, and database optimization (MySQL batching, efficient queries).
Familiarity with cloud services (AWS: Lambda, S3, RDS, CloudWatch) and containerization (Docker, K8s).
Ability to align technical solutions with business and service requirements, as evidenced by developing use cases and policy rules.

Cultural Fit Analysis

Insufficient data. Psychometric test scores are not available for evaluation.

Soft Skills & Operational Fit