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Manjit Toppo

Manjit Toppo

Software Engineer with hands-on experience in Java Backend Development, Production Systems, and MLOps Engineering

Talent
IndoreMember since May 31, 2026
JavaPythonSpring BootSpring BatchREST APIsDockerKubernetesJenkinsGitHub ActionsLinuxMLflowFastAPIModel DeploymentPostgreSQLGitDebuggingRoot Cause AnalysisDistributed SystemsSystem DesignAWS sagemakerNginx
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JavaPythonSpring BootSpring BatchREST APIs

About

Backend & MLOps Engineer with hands-on experience in building scalable backend systems, cloud-native applications, and production-grade deployment workflows. Skilled in developing secure REST APIs and microservices using Java and Spring Boot, along with working on MLOps pipelines, containerized deployments, CI/CD automation, and cloud infrastructure management.

Experienced in Docker, Kubernetes, Linux-based production environments, monitoring, debugging, root cause analysis (RCA), and system reliability engineering. Worked on backend optimization, batch processing systems, ML deployment workflows, and cloud-hosted services with exposure to AWS and Oracle Cloud platforms.

Strong understanding of distributed systems, backend architecture, observability, deployment automation, and scalable infrastructure practices. Passionate about backend engineering, cloud-native technologies, MLOps, and building reliable production systems.

Experience

Associate Software Engineer at Shivanski Technology LLP (2025-03 – Present)

  • Developed scalable backend services and RESTful APIs using Java and Spring Boot for enterprise-grade applications.
  • Worked on production-grade Linux systems involving debugging, monitoring, log analysis, and issue resolution across backend and database layers.
  • Performed root cause analysis (RCA) for production incidents and implemented fixes to improve system stability and reliability.
  • Built resilient batch processing workflows using Spring Batch with retry mechanisms, failure handling, and optimized execution flows.
  • Contributed to CI/CD automation pipelines using Jenkins and GitHub Actions to improve deployment efficiency and release workflows.
  • Worked with Docker containerization and Kubernetes-based deployment environments for scalable application management.
  • Collaborated with QA and engineering teams to troubleshoot high-priority production issues and optimize backend performance.
  • Improved SQL query performance and backend execution efficiency for high-throughput processing systems.

Education

Bachelor of Technology in Computer Science – Shri Vaishnav Vidyapeeth Vishwavidyalaya (2021 – 2025)

Skills

Production Systemsand MLOps Engineering

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