Chiranjeev Joshi profile photo 1 on Tal

Chiranjeev Joshi

Lead Software Engineer @ Nike | Distributed Systems | Microservices | Engineering Leadership

Bengaluru

8+ years of work experience

Nike
Oct 20242 yrsPresent

Hybrid

Led the 0-to-1 architecture and development of Nike’s Omnichannel Search Platform, enabling unified product search across Nike.com, retail, and B2B, while supporting peak traffic of approximately 15,000 TPS. Designed high-throughput product and catalog ingestion pipelines and scalable, low-latency search retrieval services. Introduced vector indexes and embedding-based retrieval to support semantic and hybrid search experiences. Established scalable and resilient architecture patterns for Nike’s business-critical search ecosystem. Built the Retail Agentic AI Framework using RAG and agent orchestration patterns to accelerate agent onboarding. Developed operational monitoring, retail/dotcom agents, contributing to improved efficiency and cost reductions of up to $1 million. Mentored engineers across multiple technology stacks and platform architecture.
Nike
Oct 20222 yrs 1 moOct 2024

On-site

I have successfully driven key initiatives at Nike, focusing on optimizing search and retail transaction processes. • Led the Spain Invoice Generation Platform, architecting a Cloud Checkout System for seamless retail transactions. • Streamlined checkout-to-receipt flow, optimizing return processes and halving transaction time. • Mentored junior engineers, enhancing team capabilities across various tech stacks and platform architecture.
Unisys
Apr 20212 yrs 2 mosMay 2023

Bengaluru, Karnataka, India

I was working on Smart Messaging Platform. The Unisys Smart Messaging Platform is based on cloud microservices and a Kubernetes architecture that can connect and integrate different capabilities and functionalities, whether owned -contact list, voicemail, cloud services- or third parties’ -social media, virtual assistants, instant messaging, etc.- in a very fast, simple and cost-efficient way. My primary responsibilities were to: • Redesigned RESTful microservices(Media Service, Mailbox, Message service, UVMS-Config RESTful Java Microservice) using Java, Spring Boot with (95% TDD Coverage), which integrates seamlessly with different telecom industry clients. Resulting in reducing dependency on legacy systems. • Implemented Notification services with 95% Unit test coverage, which sends emails and notifications to users. • Increased Productivity of administrative work by 50% by building Pipelines for different microservices in SMP using Jenkins. • Increased efficiency by 20% by Creating Automation script using Ansible framework for legacy components (Signaling server, Teleserver Media Processor, NIU Admin) to ease the installation, and configuration on Windows OS.
Unisys
Jul 20182 yrs 10 mosApr 2021

Bengaluru Area, India

CloudForte AIOPS-WAF: Coludforte AIOPS is a capacity management solution that provides an intuitive dashboard for monitoring On-Premise/Hybrid Cloud, It monitors and makes proactive decisions on Infrastructure resulting in reduced cost and incidents. This solution helps customers find insights into their infrastructure and recommendations based on usage. My key contributions were: • Developed an intelligent capacity management solution for AI-driven infrastructure that forecasts device utilization and recommends actions, resulting in a reduction of incident tickets by 20%. • Developed RESTful API to generate PDF for end-users to analyze and understand questionnaires of the well-architected framework(WAF).
SapientRazorfish
Jan 20183 mosMar 2018

Bengaluru, Karnataka, India

Worked on the front end technologies like Angular js, JavaScript and d3.js.
HP
Jan 20175 mosMay 2017

Bangalore

GitHub
@chiranjeevjoshi1

Chiranjeev’s AI Stack

cursor
cursor
github copilot
github copilot
langfuse
langfuse
langgraph
langgraph
mcp
mcp
Ragas
Ragas

Education

Ramaiah Institute Of Technology

B.E, Computer Science

Ramaiah Institute Of Technology

20144 yrs2018

Join Chiranjeev and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Chiranjeev Joshi on Tal

Headline

Lead Software Engineer @ Nike | Distributed Systems | Microservices | Engineering Leadership

About

At Nike, as Lead Software Engineer, I led the architecture and development of the Omnichannel Search Platform, building scalable indexing pipelines and hybrid search capabilities using OpenSearch, embeddings, keyword search, and vector retrieval to improve product discovery across digital and retail channels. I also contributed to the Nike Retail Cloud Checkout Platform, delivering resilient, cloud-native services for seamless in-store checkout experiences at global scale. Additionally, I led the development of a Nike Agentic AI Development using LangChain, LangGraph, LLMs, and RAG, creating intelligent agents for retail pricing, promotions, search operations to improve operational efficiency and reduce manual effort.

Location

Bengaluru

AI stack

cursor

github copilot

langfuse

langgraph

mcp

Ragas

Work experience

Lead Software Engineer at Nike, Oct 2024 - Present · 2 yrs, Hybrid, Led the 0-to-1 architecture and development of Nike’s Omnichannel Search Platform, enabling unified product search across Nike.com, retail, and B2B, while supporting peak traffic of approximately 15,000 TPS. Designed high-throughput product and catalog ingestion pipelines and scalable, low-latency search retrieval services. Introduced vector indexes and embedding-based retrieval to support semantic and hybrid search experiences. Established scalable and resilient architecture patterns for Nike’s business-critical search ecosystem. Built the Retail Agentic AI Framework using RAG and agent orchestration patterns to accelerate agent onboarding. Developed operational monitoring, retail/dotcom agents, contributing to improved efficiency and cost reductions of up to $1 million. Mentored engineers across multiple technology stacks and platform architecture.

Senior Software Engineer at Nike, Oct 2022 - Oct 2024 · 2 yrs 1 mo, On-site, I have successfully driven key initiatives at Nike, focusing on optimizing search and retail transaction processes. • Led the Spain Invoice Generation Platform, architecting a Cloud Checkout System for seamless retail transactions. • Streamlined checkout-to-receipt flow, optimizing return processes and halving transaction time. • Mentored junior engineers, enhancing team capabilities across various tech stacks and platform architecture.

Senior Software Engineer at Unisys, Apr 2021 - May 2023 · 2 yrs 2 mos, Bengaluru, Karnataka, India, I was working on Smart Messaging Platform. The Unisys Smart Messaging Platform is based on cloud microservices and a Kubernetes architecture that can connect and integrate different capabilities and functionalities, whether owned -contact list, voicemail, cloud services- or third parties’ -social media, virtual assistants, instant messaging, etc.- in a very fast, simple and cost-efficient way. My primary responsibilities were to: • Redesigned RESTful microservices(Media Service, Mailbox, Message service, UVMS-Config RESTful Java Microservice) using Java, Spring Boot with (95% TDD Coverage), which integrates seamlessly with different telecom industry clients. Resulting in reducing dependency on legacy systems. • Implemented Notification services with 95% Unit test coverage, which sends emails and notifications to users. • Increased Productivity of administrative work by 50% by building Pipelines for different microservices in SMP using Jenkins. • Increased efficiency by 20% by Creating Automation script using Ansible framework for legacy components (Signaling server, Teleserver Media Processor, NIU Admin) to ease the installation, and configuration on Windows OS.

Software Engineer at Unisys, Jul 2018 - Apr 2021 · 2 yrs 10 mos, Bengaluru Area, India, CloudForte AIOPS-WAF: Coludforte AIOPS is a capacity management solution that provides an intuitive dashboard for monitoring On-Premise/Hybrid Cloud, It monitors and makes proactive decisions on Infrastructure resulting in reduced cost and incidents. This solution helps customers find insights into their infrastructure and recommendations based on usage. My key contributions were: • Developed an intelligent capacity management solution for AI-driven infrastructure that forecasts device utilization and recommends actions, resulting in a reduction of incident tickets by 20%. • Developed RESTful API to generate PDF for end-users to analyze and understand questionnaires of the well-architected framework(WAF).

Intern at SapientRazorfish, Jan 2018 - Mar 2018 · 3 mos, Bengaluru, Karnataka, India, Worked on the front end technologies like Angular js, JavaScript and d3.js.

Hadoop Developer at HP, Jan 2017 - May 2017 · 5 mos, Bangalore

Education

B.E, Computer Science, Ramaiah Institute Of Technology

Public links

github: https://github.com/chiranjeevjoshi1