Summary
Overview
Work History
Education
Skills
Personal Information
Timeline
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Shilpa Kadimisetty

Hyderabad

Summary

Senior System Development Engineer with expertise in cloud automation and CI/CD pipeline management. Delivered improvements in system reliability and performance using AWS-based solutions. Skilled in full-stack development and production debugging in high-pressure environments.

Overview

10
10
years of professional experience

Work History

Senior System Development Engineer

Amazon
Hyderabad
12.2019 - Current
  • Selected as 1 of the top 100 Gen AI ideas company-wide; invited to Seattle to present at the Gen AI booth.
  • Carry one week of on-call per month for tier-1 services handling 3–4 Sev-1s and 50+ Sev-2s monthly; own triage, mitigation, and escalation.
  • Led the COE for a Sev-1 where a misconfigured JP carrier sequence number produced duplicate tracking IDs, causing ~30K shipments to miss CPT in a single day; prevented recurrence through expanded edge-case integration tests, retry logic, fallback mechanisms, and improved logging for faster root-cause detection.
  • Reduced MTTR and ticket volume by building automations that execute SOPs for low-severity tickets and trigger remediation workflows, eliminating unnecessary tickets from team queues.
  • Drive peak-readiness planning: run stress and load testing to validate service health, then deliver scaling improvements ahead of peak events.
  • Strengthened CI/CD pipelines with automatic rollbacks, new alarm configurations, integration tests, and stress-test integration.
  • Designed AWS workflow automation (Step Functions, SQS, Lambda) for development and operations; built internal tools and monitoring/deployment scripts for engineering and ops teams.
  • Analyzed new carrier onboarding and modeled carrier requirements in the Tour system where platform capability was missing; monitored and resolved ID generation issues.
  • Reviewed code for performance, reliability, and maintainability; partnered with product managers and engineers on requirements; documented engineering processes and standards.

Technical Product Specialist

Factset Systems India Pvt. Ltd.
Hyderabad
10.2018 - 12.2019
  • The FAST system consists of access to the Vision object-oriented database software hosted on a FactSet server where we maintain the financial data which was collected by the vendor in raw format.
  • It helps in maintaining the vendor data, various application databases and Factset's own data in a private Vision database.
  • Responsibilities and Contribution:
  • Providing scripted solutions in shell to upload the vendor data in vision database.
  • Work on the enhancements and automations.
  • Maintaining the data quality.
  • Monitoring and solving the issues in each of the servers and client machines.

System Engineer

Tata Consultancy Services
Hyderabad
07.2016 - 10.2018
  • Ericsson Network Manager is the foundation platform of the new Network Manager, focusing on LTE Radio Network.
  • Monitoring Tool: The purpose of monitoring tool is to monitor the performance of ENM and provides the information in the monitoring GUI. It gives the basic details of the operating system for example the memory consumed, memory left over, CPU speed etc. Similarly, it gives the information related to the servers, services associated with the system.
  • The Monitoring Tool supervises ENM with the help of two products called Hyperic & RHQ. These are the third party products which are customized and used as monitoring tools. Monitoring Tool is divided into the following components:
  • Monitoring Server
  • Monitoring Agent
  • Database
  • Monitoring Server is responsible for displaying the information in the GUI by connecting to monitoring agents, the data collected is stored in the database (MySQL, Postgres or Oracle).
  • Monitoring Agents are installed on each sub system in the ENM and collect the details of that sub system and send them to Monitoring Server.
  • Responsibilities and Contribution:
  • Designing and developing monitoring tool in ENM
  • Effort Estimation
  • Automating test cases.

Education

Bachelor of Technology - Computer Science and Engineering

MVGR College of Engineering
Vizianagaram
06-2016

Skills

Programming & Languages

  • Core Languages: Java, Shell Scripting (Bash)
  • Frameworks: Spring Boot, Server-Side Frameworks
  • Core Concepts: Object-Oriented Programming (OOP), Concurrency/Multithreading, Java Build Tools (Maven, Gradle)

AWS & Cloud Infrastructure

  • Core AWS Ecosystem: Amazon EC2, AWS Lambda, Amazon ECS/EKS, Amazon S3, AWS IAM, Amazon VPC
  • Database & Storage: Amazon DynamoDB
  • Serverless & Integration: AWS Step Functions, Amazon SQS, Amazon SNS, Amazon EventBridge
  • Security & Governance: AWS Key Management Service (KMS), AWS Secrets Manager, AWS CloudTrail

Engineering & System Design

  • Software Development Lifecycle (SDLC): Full-Stack Development, End-to-End System Design, Distributed Systems Architecture, High Availability (HA) Design, Microservices Architecture
  • Backend Development: API Design (RESTful), Microservices Implementation, Database Optimization
  • Quality Assurance & Verification: Unit Testing, Integration Testing, End-to-End (E2E) Testing Automation, Code Review Frameworks

DevOps, Automation, & Operations

  • CI/CD & Deployment: Continuous Integration & Continuous Deployment pipelines, CI/CD Pipeline Management, Blue-Green Deployments, Canary Releases, Infrastructure as Code (IaC)
  • Cloud Automation: Cloud Automation with AWS
  • Monitoring & Observability: System Monitoring, AWS CloudWatch, Real-time Log Analysis
  • Reliability Engineering & Production Support: 24/7 Production On-Call Support, Production Support, Tier-1 Incident Management, Root Cause Analysis (RCA), High-Severity Incident Mitigation
  • Diagnostics & Performance: Production Debugging Expertise, Distributed System Debugging, Performance Tuning, Latency Optimization, Bottleneck Identification

Personal Information

  • Title: Senior System Development Engineer
  • Nationality: Indian

Timeline

Senior System Development Engineer

Amazon
12.2019 - Current

Technical Product Specialist

Factset Systems India Pvt. Ltd.
10.2018 - 12.2019

System Engineer

Tata Consultancy Services
07.2016 - 10.2018

Bachelor of Technology - Computer Science and Engineering

MVGR College of Engineering
Shilpa Kadimisetty