SHIKHAR PRATAP SINGH — Software Engineer
I am a Java backend engineer with a strong foundation in Data Structures and Algorithms, specializing in distributed, highly scalable systems using the Java and Spring ecosystem. I architect high-performance APIs and microservices with Spring Boot, Spring MVC, Spring Security, Spring Batch, and Spring WebFlux all grounded in clean MVC architecture and industry-standard SDLC practices. Key Highlights: Backend Systems: Designed production-grade microservices backed by SQL, MongoDB, Redis (caching), and Apache Kafka — building event-driven architectures that are reliable, performant, and built for scale. Infrastructure & DevOps: Hands-on with Docker, Kubernetes, AWS (EC2, EKS), Jenkins CI/CD, Ansible, and shell scripting on Unix systems — from local containerized environments to full cloud-native deployments. Observability & Reliability: Experienced in monitoring and maintaining production systems using the ELK stack, Prometheus, and Grafana to ensure uptime, traceability, and performance. AI & Emerging Tech: Actively exploring Agentic AI systems, RAG pipelines, vector databases, and MCP servers — building intelligent, data-aware backends that bridge traditional infrastructure with modern AI capabilities. Version Control & Collaboration: Proficient in Git-based workflows across GitHub and Bitbucket, with a strong habit of clean branching, code reviews, and collaborative development practices. Tech Stack: Languages & Frameworks: Java, Spring Boot, Spring MVC, Spring Security, Spring Batch, Spring WebFlux Databases & Messaging: SQL, MongoDB, Redis, Apache Kafka Infrastructure: Docker, Kubernetes, AWS (EC2, EKS), Ansible, Shell, Unix CI/CD & DevOps: Jenkins, Git, GitHub, Bitbucket Observability: ELK Stack, Prometheus, Grafana AI / Modern Tools: Agentic AI, RAG, Vector Databases, MCP Servers While backend and distributed systems are my core focus, I occasionally contribute to frontend development and am continuously expanding my expertise across cloud-native architectures, Web3, and AI-powered platforms. Let's connect if you want to talk about building scalable, intelligent backend systems.
Stackforce AI infers this person is a Backend Engineer specializing in scalable systems within the Fintech industry.
Location: Gautam Buddha Nagar, Uttar Pradesh, India
Experience: 11 mos
Skills
- Java
- Spring Boot
Career Highlights
- Expert in building scalable Java backend systems.
- Proficient in cloud-native infrastructure and DevOps practices.
- Strong foundation in data structures and algorithms.
Work Experience
Paytm
Software Engineer (11 mos)
Software Engineer (4 mos)
Education
Bachelor of Technology - BTech at ABES Engineering College
INTERMEDIATE SCHOOL at Karl Huber School
High School Diploma at Karl Huber School