Sai Sudheer Reddy Badduri

Software Engineer

Bengaluru, Karnataka, India3 yrs 6 mos experience

Key Highlights

  • Engineered APIs managing 90% of data-center infrastructure.
  • Reduced downtime for OS deployments by 80%.
  • Designed self-service firmware management systems.
Stackforce AI infers this person is a Backend Engineer specializing in Infrastructure Automation and Scalable Systems.

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Skills

Core Skills

GolangDistributed SystemsSystem DesignObservabilityCi/cd

Other Skills

API DevelopmentAPIsAdvanced Driver-Assistance Systems (ADAS)AlgorithmsBackendBackend DevelopmentBashBatch ProcessingC++Computer ScienceContinuous Integration and Continuous Delivery (CI/CD)Data StructuresDistributed programmingGoGrafana

About

Backend Engineer specializing in scalable, reliable, and high-performance systems. I focus on building distributed backend services for infrastructure automation tools using GoLang and Python. My work has centered on designing APIs and developing micro-services that enable large-scale compute and infrastructure management. At Target, I’ve built Go-based APIs powering 90% of data-center compute infrastructure— reducing downtime for OS deployments by 80% and improving reliability by 30%. I also designed self-service firmware management systems and observability pipelines that accelerated delivery velocity across teams by 25%. Previously at Mercedes-Benz R&D, I engineered components for L2 ADAS systems deployed globally, ensuring 100% compliance and reliability at scale. I’m passionate about designing systems that scale gracefully, optimize resource efficiency, and simplify developer workflows. Core Competencies: GoLang | Python | Distributed Systems | RESTful APIs | Microservices | System Design | Observability | CI/CD | Docker | Grafana |

Experience

Target

Software Engineer (Backend)

Mar 2025Present · 1 yr · Bengaluru, Karnataka, India · Hybrid

  • Key Contributions:
  • Engineered Go-based APIs managing 90% of data-center compute infrastructure, enabling autonomous provisioning and OS deployment.
  • Built a batch-processing API to manage thousands of compute devices concurrently — reduced client network load by 99.9%.
  • Designed and delivered firmware lifecycle management APIs, enabling complete self-service deployment across environments.
  • Improved system reliability and reduced mean incident response time by 30% through health-check services and proactive monitoring.
  • Implemented a metrics instrumentation layer and Grafana dashboards for real-time visibility of performance and uptime.
  • Accelerated delivery velocity by 25% across three engineering teams via reusable backend libraries and Go components.
GoAPIsInfrastructure AutomationBatch ProcessingMonitoringGrafana+2

Mercedes-benz research and development india

2 roles

Software Engineer

Apr 2023Feb 2025 · 1 yr 10 mos

Graduate Engineering Trainee

Aug 2022Mar 2023 · 7 mos

Education

KLE Technological University - Hubballi (India)

Bachelor of Engineering - BE

Jan 2018Jan 2022

Dream World School

Jan 2003Jan 2016

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