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Open to Work — Full Stack & Backend Roles

Nikhil
Shelke

Results-driven engineer with 5+ years building production systems at scale. Specializing in Java/Spring Boot microservices, Kubernetes deployments, and cloud-native architectures that handle millions of events daily. Currently at FedEx — shipping code that ships packages.

5+
Years Exp.
10k+
Daily TXNs
99.9%
Uptime
90%
Test Coverage
NS
Software Engineer

Engineering systems
built to last.

I'm a Full Stack & Backend Engineer with 5+ years crafting production-grade applications end-to-end — from API design to Kubernetes deployment to observability and monitoring.

At FedEx Corporation, I architect systems processing 10,000+ shipment transactions daily and 1M+ events per day across logistics workflows. My platform CI/CD templates have been adopted by 8+ engineering teams, cutting pipeline setup time by 50%.

I thrive at the intersection of backend engineering precision and DevOps automation — obsessing over latency, reliability, and deployment consistency. My microservices run at 99.9%+ uptime because I treat observability as a first-class concern.

Educated at Texas A&M University–Kingsville (MS Computer Science) and (Bachelor of Technology). Based in Pittsburgh, PA — open to relocation.

Performance-Driven

28% API latency reduction through profiling and caching on high-volume microservices

🛡

DevSecOps Mindset

30% CVE reduction via automated security scanning in CI/CD pipelines

👥

Engineering Leader

Mentored 3 junior engineers and drove company-wide coding standards adoption

📍 Location & Availability

Pittsburgh, PA Open to Relocation Remote / Hybrid

🎓 Education

MS Computer Science Texas A&M Kingsville B.Tech — MIT Pune Dean's Merit Scholar

⚙ Core Competencies

Microservices Architecture RESTful API Design CI/CD Automation Cloud-Native Dev System Design Performance Optimisation TDD / BDD Agile / Scrum

💬 Soft Skills

Technical Mentoring Code Reviews Cross-Team Collaboration Technical Documentation

Skills & Technologies

A production-tested stack across the full engineering spectrum — from backend APIs to cloud infrastructure to frontend interfaces.

🖥
Languages
Java 17 Java 11 Java 8 JavaScript TypeScript Python SQL Groovy Bash
Backend & APIs
Spring Boot Spring MVC Spring Security RESTful APIs Microservices JPA / Hibernate Node.js Express.js OAuth2 / JWT
🎨
Frontend
React.js Angular HTML5 CSS3 TypeScript AJAX JSON XML
DevOps & Cloud
Kubernetes Docker Helm Charts AWS GCP Azure Terraform GitHub Actions Jenkins GitLab CI PCF
🗄
Databases
PostgreSQL Oracle MySQL MongoDB NoSQL Liquibase Query Optimisation
🔭
Observability & Tools
Splunk AppDynamics OpenTelemetry Kibana Datadog SonarQube Postman IntelliJ IDEA JUnit Cucumber Mockito

Professional Experience

5+ years delivering production systems across enterprise logistics, consulting, and startups.

Full Stack Developer III
FedEx Corporation — Pittsburgh, PA
April 2024 – Present
  • Architected and maintained end-to-end production applications supporting 10,000+ daily shipment transactions across Java/Spring Boot APIs, CI/CD, deployment, and monitoring.
  • Built reusable CI/CD pipeline templates (GitHub Actions, Jenkins) adopted by 8+ engineering teams — cutting pipeline setup time by 50% and increasing release frequency by 35%.
  • Designed Kubernetes deployments with 15+ Helm charts, reducing environment inconsistencies by 40% across dev, staging, and production.
  • Reduced backend API latency by 28% through profiling, caching, and query optimisation on high-volume Java/Spring microservices.
  • Implemented DevSecOps automation in CI/CD pipelines, achieving 30% reduction in open CVEs across the microservices portfolio.
  • Maintained 99.9%+ uptime for customer-facing services using Splunk, AppDynamics, and OpenTelemetry — improving MTTR by 25%.
  • Processed 1M+ events/day via complex REST APIs and message-based integrations across logistics workflows.
  • Mentored 3 junior engineers, led code reviews, and co-authored CI/CD strategy and coding standards adopted company-wide.
Java 17 Spring Boot Kubernetes Helm GitHub Actions Jenkins Splunk AppDynamics OpenTelemetry AWS
Software Engineer
Fast Switch – Great Lakes LLC — USA
Jul 2023 – Nov 2023
  • Led monolith-to-microservices migration, enabling independent deployments and improving platform scalability by 4× release cadence.
  • Achieved 90% automated test coverage via TDD with Cucumber across unit, integration, and acceptance tests integrated into CI/CD.
  • Established SonarQube quality gates, cutting technical debt by 20% within 3 months.
  • Automated environment provisioning with Terraform, reducing infra setup from 3 days to under 2 hours — a 75% reduction.
  • Optimised backend performance using Java 8+ features, load balancing, and caching, achieving 35% faster API response times.
  • Applied OAuth2/JWT authentication best practices, reducing security vulnerabilities by 60% across services.
Java Spring Boot Terraform Cucumber SonarQube OAuth2 JWT
Software Engineer
Sira Consulting Inc — USA
Jan 2023 – Jul 2023
  • Built reusable backend and frontend components with Spring Boot and React.js, reducing per-feature development time by 25%.
  • Supported cloud CI/CD pipelines on AWS and GCP, achieving a 99.5%+ deployment success rate across 2 production environments.
  • Improved backend throughput by 20% under peak load via multi-threading and concurrency improvements.
  • Gained hands-on experience with cloud API gateways, OAuth2, and distributed system patterns on Azure and GCP.
Spring Boot React.js AWS GCP Azure OAuth2
Software Engineer
Sigma Info Solution — Pune, India
Aug 2019 – Jul 2021
  • Built cloud-hosted REST APIs and full-stack apps with Spring Boot on AWS and GCP, serving 5,000+ daily users.
  • Implemented data caching strategies, reducing DB query response time by 20% and improving scalability under peak load.
  • Maintained 99%+ release success rate over 2 years via CI/CD pipelines with automated testing (85% coverage).
  • Optimised throughput by 15% using Java 8+ streams, lambdas, and parallel processing under concurrent load.
Java 8 Spring Boot AWS GCP Hibernate JDBC Cucumber

Featured Projects

Real systems solving real problems — from logistics automation to scalable backend platforms.

🚚
10k+ daily transactions
FedEx Shipment Processing Platform
End-to-end distributed logistics system processing 1M+ events per day. Built Java/Spring Boot microservices with Kubernetes orchestration, custom Helm charts for multi-env deployments, and OpenTelemetry-based observability stack.
Java 17 Spring Boot Kubernetes Helm OpenTelemetry AWS
8+ teams adopted
CI/CD Platform Template Library
Reusable GitHub Actions and Jenkins pipeline templates standardizing CI/CD across engineering teams. Reduced pipeline setup time by 50%, increased release frequency by 35%, and embedded DevSecOps scanning for automatic CVE detection.
GitHub Actions Jenkins Groovy DevSecOps SonarQube
🔄
4× release cadence
Monolith-to-Microservices Migration
Architected and led the decomposition of a monolithic application into independently deployable microservices. Established domain boundaries, API contracts, and integrated TDD with 90% automated coverage from day one.
Java Spring Boot Docker Terraform Cucumber OAuth2
75% faster provisioning
Infrastructure Automation Framework
Terraform-based IaC framework for automated multi-environment provisioning. Reduced infrastructure setup from 3 days to under 2 hours across 3 repeatable environments, with full idempotency and state management.
Terraform AWS GCP Docker Kubernetes
📊
5k+ daily users
Cloud-Native REST API Platform
Full-stack web application with Spring Boot REST APIs deployed on AWS and GCP. Implemented caching strategies, query optimisation, and connection pooling achieving 20% reduction in DB response time and 99%+ release success.
Spring Boot React.js AWS EC2 GCP Cloud Run PostgreSQL
🧪
90% test coverage
TDD Automation Testing Framework
BDD-style test automation framework using Cucumber and JUnit integrated into CI/CD pipelines. Implemented across unit, integration, and acceptance test layers with SonarQube quality gates reducing technical debt by 20%.
Cucumber JUnit Mockito SonarQube CI/CD

Certifications & Education

Continuously expanding expertise in cloud-native engineering and DevOps practices.

Kubernetes & Container Orchestration
CNCF / Kubernetes
✓ Production Experience (15+ Helm charts)
Jenkins CI/CD Pipeline Engineering
Jenkins / CloudBees
✓ Enterprise Deployment
🐙
GitHub Actions & DevOps Automation
GitHub
✓ 8+ Teams Adoption
AWS Cloud Practitioner
Amazon Web Services
✓ EC2, Lambda, S3, RDS, SNS, SQS
🔒
DevSecOps & Security Automation
Security Engineering
✓ 30% CVE Reduction
🎓
MS Computer Science
Texas A&M University–Kingsville
✓ Dean's Merit Scholar — Dec 2022

Achievements & Leadership

🏆

Dean's Merit In-State Scholarship

Awarded the top academic honor in the College of Engineering graduate program at Texas A&M University–Kingsville.

🌐

International Conference Lead — RTIP2R

Student Lead Volunteer at the 5th International Conference on Recent Trends in Image Processing & Pattern Recognition. Coordinated logistics for 200+ attendees.

👑

President — Association of Indian Students

Elected President at Texas A&M University, leading a 150+ member organization across 2 academic years.

50% CI/CD Efficiency Gain — FedEx

Pipeline templates adopted by 8+ teams, reducing setup time by half and increasing release frequency by 35% across the engineering organization.

🔭

99.9%+ Uptime — Production Systems

Maintained near-perfect availability for customer-facing FedEx logistics services processing millions of daily events through proactive observability and incident response.

🛡

30% CVE Reduction via DevSecOps

Implemented automated security scanning in CI/CD pipelines to detect and remediate vulnerabilities across an entire microservices portfolio at FedEx.

Let's build something
great together.

Available for new opportunities

Open to Senior/Staff Engineer & Lead Roles

I'm actively looking for opportunities where I can contribute to high-impact backend systems, distributed architectures, and cloud-native engineering. Let's talk — I typically respond within 24 hours.

Send a message