Aman Shrivastava

Software Engineer

Bengaluru, Karnataka, India2 yrs 2 mos experience

Most Likely To Switch

Key Highlights

Proven track record in building scalable backend systems.
Expertise in Microservices architecture and cloud technologies.
Strong problem-solving skills with a focus on performance optimization.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Cloud Computing and Telecommunications.

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Skills

Core Skills

MicroservicesJava

Other Skills

DockerGitAWSRouting ProtocolsFull-Stack DevelopmentNode.jsSOLID Design PrinciplesData Structures & AlgorithmsBack-End Web DevelopmentJava ProgrammingApplication Programming Interfaces (API)React.jsMySQLMongoDBCCNA

About

Hello, I’m Aman Shrivastava! I enjoy building robust, scalable systems and optimizing performance through modern engineering practices and innovative technologies. With around 2.1 years of experience as a Software Engineer - Backend, I have developed secure, high-performance applications using Java, Python, Spring Boot and Docker. My expertise lies in designing and implementing Microservices architectures, ensuring system reliability & delivering efficient solutions across the full Software Development lifecycle (SDLC). I am particularly focused on: - Building scalable and resilient backend systems - Designing clean, efficient APIs and services - Improving system performance and reliability - Applying strong system design and engineering principles Tech Stacks: Frameworks: Spring, Spring Boot, Hibernate Languages: Java, Python Cloud Technologies: AWS, Kubernetes, Docker System Design: Low-Level Design (LLD) + High-Level Design (HLD) Monitoring/CI/CD Tools: Grafana, Kafka, Prometheus Developer Tools: VS Code, Git/GitHub, IntelliJ, Postman Actively seeking Software Engineering, Backend Development, Full Stack Development (Backend heavy) roles where I can contribute to building scalable systems, solving complex engineering problems and delivering high-impact solutions while continuously growing as an engineer.

Experience

2 yrs 2 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 2 mos

Current Experience

Ibm

Software Engineer I

Mar 2025 – Present · 1 yr 2 mos · Bengaluru · Hybrid

Part of IBM’s NRE team via Systal Technologies, contributing to the development and optimization of automation systems for large-scale hybrid and multi-cloud network environments.
Built Java-based pipelines for configuration validation and telemetry analysis, reducing manual effort by 40% and accelerating deployment cycles by 30%.
Developed and integrated RESTful APIs to connect network management with telemetry platforms, expanding automation coverage by 35%, improving system reliability by 20% and increasing integration efficiency by 25%.
Deployed and maintained containerized microservices using Docker, with built-in monitoring and validation utilities, boosting service availability and operational efficiency by 25%.
Diagnosed and resolved critical bugs in automation services, including data inconsistencies and pipeline execution failures, by streamlining validation logic, handling edge cases and lowering system errors by 24%.
Designed cloud-ready software components for network automation services, leveraging AWS and distributed systems principles to reduce system latency by 20% and improve deployment efficiency by 40%.

DockerGitMicroservicesJava

Cisco

Software Engineer

Nov 2022 – Nov 2023 · 1 yr · Bengaluru · Hybrid

Part of Cisco’s Evolved Programmable Network Manager (EPNM) team, worked on optical network management and automation to enhance the efficiency and scalability of optical networks.
Owned and scaled the Inventory Job microservice, implementing Java-based job schedulers and orchestration mechanisms to optimize task execution and reduce system overhead by 23%.
Designed and deployed API services to integrate network management with EPNM, improving automation coverage by 35%, reducing manual configuration efforts by 28%.
Built and deployed a Node.js-based chatbot for Cisco Webex, automating routine tasks and reducing manual coordination by 40%, while refining team response times by 25%.
Leveraged AWS cloud services for telemetry data storage and automated testing environments, improving data accessibility by 20% and reducing infrastructure setup time by 35%.
Led the end-to-end development of a Python-based telemetry tool using the TIG stack, boosted data processing by 35% and enabled real-time performance analytics. Containerized the solution with Docker to streamline deployment efficiency and improve adaptability by 32%.
Identified and resolved critical bugs across network automation workflows, driving a 27% reduction in system errors and strengthened overall system performance by 40%.

Routing ProtocolsFull-Stack DevelopmentMicroservicesJava