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Nike

Nike

Software Engineer II | Dec 2025 - Present

  • Building and evolving cloud platform engineering solutions that power Nike's global, multi-cloud ecosystem, enabling scalable, secure, and governed infrastructure to support business-critical and athlete-facing workloads.
  • Leading by example across platform design and delivery, spending significant time designing, developing, operating, and integrating cloud infrastructure solutions while partnering with adjacent platforms and product teams.
  • Driving engineering excellence and technical leadership by defining best practices, contributing to architectural decisions, and translating complex business problems into reliable, production-grade platform solutions.
  • Working deeply across cloud-native and Kubernetes ecosystems, including control plane architectures, custom resource definitions (CRDs), cluster auto-scaling, and platform governance across AWS and multi-cloud environments.
  • Integrating observability, automation, and intelligent systems to improve platform reliability, visibility, and operational efficiency, with exposure to AI, machine learning, and GenAI-enabled workflows within platform engineering contexts.
  • Collaborating closely with senior engineers, architects, and product partners across Nike's Global Technology organization to align platform capabilities with long-term organizational and engineering priorities.

AWS

Google Cloud Platform

Kubernetes

Cloud Platform Engineering

Control Plane Architecture

Custom Resource Definitions (CRDs)

Cluster Auto-Scaling

Observability & Monitoring

Splunk

Python

Go

Java

REST APIs

Microservices

DevOps

CI/CD Pipelines

Distributed Systems

Generative AI

Endava India

Endava India

Senior Developer | Jan 2025 - Dec 2025

Developer | Jan 2024 - Jan 2025

Associate Developer | Aug 2022 - Jan 2024

  • Progressed from Associate Developer to Senior Developer, owning end-to-end delivery across healthcare, fintech, and enterprise automation platforms while consistently driving measurable business impact.
  • Architected an enterprise ETL automation platform using Python and FastAPI, reducing manual operations by 80% and significantly improving pipeline reliability and turnaround time.
  • Designed and deployed Generative AI support systems leveraging RAG pipelines, LLaMA 2, Azure OpenAI, AWS SageMaker, Redis, and FastAPI, cutting resolution time by up to 85% and saving 120+ hours per month.
  • Built large-scale analytics and monitoring solutions for Fortune 500 fintech clients, automating Splunk-based log analysis and reducing investigation time by 70%.
  • Delivered multiple full-stack platforms including healthcare claims adjudication systems, pharmacy analytics tools with ML forecasting, and AI-powered code summarization tools, improving efficiency and onboarding speed by up to 40%.
  • Played a key mentorship and leadership role by mentoring developers, unblocking critical issues, providing architectural guidance, and training every annual Launchpad batch in React.js, ensuring consistent skill ramp-up.
  • Recognized with Outstanding Contribution and Outstanding Trainer Awards for impactful delivery, technical mentorship, and early-career excellence.

Full-Stack Engineering

Backend & API Development

Microservices Architecture

System Design

Java

Python

Spring Boot

FastAPI

Flask

REST APIs

React.js

Next.js

Modern UI Frameworks

Generative AI

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Chatbot Platforms

Machine Learning Pipelines

PostgreSQL

MongoDB

Redis

Graph Databases

Cloud-Native Architecture

AWS & GCP

Docker

CI/CD Pipelines

Observability & Monitoring

Stalk My Dev Resume
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Designed with the ❤️ of code by Mayur Pai
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