Prakash Sharma

Indore, Madhya Pradesh, India

Since March 11, 2026

Skills

JavaDocker / KubernetesRest ApiWeb Developers

Experience

Nitor Infotech (Ascendion)

Senior Software Engineer

August 1, 2025 – January 1, 2026

Microsoft

Software Engineer II

May 1, 2022 – February 1, 2025

Publicis Sapient

Software Engineer

September 1, 2020 – May 1, 2022

GlobalLogic

Software Engineer

January 1, 2019 – September 1, 2020

Benfie Consultancy

Software Engineer

May 1, 2018 – December 1, 2018

Key Strengths

Proven expertise in designing and stabilizing high-throughput distributed systems using Java, Spring Boot, and Kafka.
Strong background in reliability engineering, including incident reduction (35% repeat incidents, 40% MTTR reduction) and observability standardization (Prometheus, Grafana, Jaeger).
Extensive experience with multi-cloud environments (AWS, Azure, GCP) and microservices architecture.
Demonstrated ability to architect scalable REST APIs with idempotency and failure isolation.
Experience in mentoring engineers and leading technical initiatives, indicating leadership potential.
Proficiency in CI/CD practices and pipeline hardening, improving deployment success rates.

Skill Analysis

Java & Spring Framework

★★★★★

85%

The candidate demonstrated a strong understanding of Java and the Spring framework, scoring 85%. This indicates proficiency in core language features, Spring ecosystem components, and database interaction, with minor areas for improvement in advanced or niche topics.

Core JavaSpring BootSpring WebFluxSQLHibernateMicroservicesREST API DesignDistributed SystemsKafkaCouchbaseRedis

Cultural & Operational Fit

Cultural Fit Analysis

A comprehensive cultural fit analysis cannot be provided as the psychometric test scored 0, indicating insufficient data for this evaluation.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Proven expertise in designing and stabilizing high-throughput distributed systems using Java, Spring Boot, and Kafka.
Strong background in reliability engineering, including incident reduction (35% repeat incidents, 40% MTTR reduction) and observability standardization (Prometheus, Grafana, Jaeger).
Extensive experience with multi-cloud environments (AWS, Azure, GCP) and microservices architecture.
Demonstrated ability to architect scalable REST APIs with idempotency and failure isolation.
Experience in mentoring engineers and leading technical initiatives, indicating leadership potential.
Proficiency in CI/CD practices and pipeline hardening, improving deployment success rates.

Skill Analysis

Java & Spring Framework

★★★★★

85%

Core JavaSpring BootSpring WebFluxSQLHibernateMicroservicesREST API DesignDistributed SystemsKafkaCouchbaseRedis

Cultural & Operational Fit

Cultural Fit Analysis

A comprehensive cultural fit analysis cannot be provided as the psychometric test scored 0, indicating insufficient data for this evaluation.

Soft Skills & Operational Fit