Jitender Pal

DevOps Engineer

Noida, Uttar Pradesh, India11 yrs 3 mos experience

Highly Stable

Key Highlights

Reduced deployment times by 70% with microservices.
Automated infrastructure provisioning, cutting setup time to under 2 hours.
Improved API response time by 35% through optimization.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer specializing in SaaS and Cloud solutions.

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Skills

Core Skills

MicroservicesAwsData ScienceJava

Other Skills

Spring BootDockerKubernetesCI/CDKafkaTerraformKeycloakAzure FunctionsEventHubPythonRMachine LearningAngularXMLSQL

About

Results-oriented Senior Java Developer with 10+ years of experience in building and scaling distributed systems using Spring Boot, Microservices, and AWS Cloud. Proven success in reducing deployment times, improving API performance, and leading cross-functional teams to deliver high-availability enterprise solutions. Hands-on with Docker, Kubernetes, Kafka, Terraform, and CI/CD pipelines for production-grade automation and reliability. Adept at designing resilient cloud architectures, optimizing costs, and mentoring teams to follow clean, maintainable coding practices. Key Achievements: • Designed and implemented microservices architectures that improved deployment speed by 70% and reduced downtime to under 1%. • Automated infrastructure provisioning with Terraform + AWS, cutting environment setup time from 2 days to under 2 hours • Improved REST API response time by 35% via query optimization and caching strategies. • Led migration of legacy systems to AWS EKS, enhancing scalability and reducing compute costs by 20%.

Experience

11 yrs 3 mos

Total Experience

3 yrs 3 mos

Average Tenure

1 yr 4 mos

Current Experience

Capgemini

Senior Technical Lead

Jan 2025 – Present · 1 yr 4 mos · Noida, Uttar Pradesh, India · Hybrid

Created and developer microservices modules in Spring Boot and AWS to automate planning, maintenance, and testing
workflows, improving operational efficiency by 40%.
Deployed services to AWS (EC2, RDS, Lambda) and used EKS for container orchestration, achieving 99.9% uptime.
Optimized database queries and caching, reducing response time for key endpoints by 30%.
Implemented CI/CD pipelines with Jenkins and Docker, shortening deployment cycles from hours to minutes.
Collaborated with QA and DevOps teams to achieve 95% automated test coverage and zero regression in
production releases.

MicroservicesSpring BootAWSDockerKubernetesCI/CD

Hcltech

Technical Lead

Feb 2021 – Dec 2024 · 3 yrs 10 mos · Noida, Uttar Pradesh, India · Hybrid

1. Engagement System
Developed Spring Boot microservices enabling real-time user engagement through Kafka event streams, scaling
to 100K+ users.
Integrated JWT-based authentication and implemented role-based security using Keycloak, reducing
unauthorized access incidents by 90%.
Introduced CI/CD automation on AWS EKS, cutting manual release time by 75%.
Worked with JPA/Hibernate to optimize DB performance and achieve sub-200ms average API latency.
2. Infrastructure Automation for QA (Terraform + AWS)
Built Infrastructure-as-Code (IaC) solutions using Terraform, enabling reproducible QA environments and
reducing human error by 80%.
Designed secure AWS VPC networks with public/private subnets and load balancing for scalability.
Streamlined environment provisioning with S3-based state management and version control via Git.
3. DHL Express Tracking Integration
Created event-driven microservices to fetch, process, and compare shipment tracking data using Azure Functions
+ EventHub, improving data synchronization accuracy by 98%.

Spring BootKafkaAWSCI/CDTerraformKeycloak+1

Genpact headstrong capital markets

Consultant

Sep 2018 – Feb 2021 · 2 yrs 5 mos · Noida Area, India · On-site

Led data science and engineering initiatives for Genworth Insurance, creating ML models (TF-IDF, Logistic
Regression) achieving 78% accuracy in ticket categorization.
Developed data pipelines using Python (Pandas, NumPy, scikit-learn) for predictive analytics, improving model
execution speed by 40%.
Built inventory forecasting system using RNN/LSTM (Keras) to predict weekly sales across hubs with >85%
accuracy.
Developed full-stack applications (Spring Boot + Angular) for internal marketing dashboards, reducing manual
reporting time by 60%.

PythonRMachine LearningSpring BootAngularData Science

Accenture

2 roles

Software Engineer

Promoted

Aug 2017 – Sep 2018 · 1 yr 1 mo · On-site

Developed XML parsers using DOM API and optimized SQL reporting queries for faster analytics turnaround.

XMLSQL

Assistant Software Engineer

Jan 2015 – Aug 2017 · 2 yrs 7 mos · On-site

Designed and implemented SOAP & REST integrations between Primavera Unifier and Primavera P6, automating
manual data syncs and saving 100+ work hours/month.
Built scheduled services in Core Java to automate data updates from Excel (Apache POI), improving reporting
accuracy by 95%.

SOAPRESTCore JavaJava