Technical Lead- Platform

Juniper Square; India; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Juniper Square is seeking a Technical Lead for their Platform team in India. The ideal candidate will have 6-10 years of experience in designing and supporting large-scale systems, expertise in Python and relevant frameworks, and strong problem-solving skills. Responsibilities include working with cross-functional teams, optimizing performance, and creating internal tools. The position emphasizes improving developer experience and managing multiple projects in a fast-paced environment.

Qualifications

• 6-10 years of experience in designing and supporting large scale systems.
• Experience with cloud technologies like AWS, Azure, and GCP.
• Strong problem-solving skills with the ability to work independently.

Responsibilities

• Work with engineers and product managers to turn vision into code.
• Implement modern architectural patterns and optimize database queries.
• Create internal tools to support engineers and improve efficiency.

Skills

Python

FastAPI

Flask

SQL

Docker

Kubernetes

GraphQL

AI and LLMs

Tools

AWS

Azure

GCP

Job description

We’re looking for a Technical Lead to join our Platform team. The Platform team builds and maintains foundational services like Identity and Access management, authorization, Search, and API infrastructure, while also developing tools, frameworks, and enhancements to improve the developer experience across the entire software development lifecycle.

About the role

We’re looking for a Technical Lead to join our Platform team. The Platform team builds and maintains foundational services like Identity and Access management, authorization, Search, and API infrastructure, while also developing tools, frameworks, and enhancements to improve the developer experience across the entire software development lifecycle.

What you’ll

• doWork with engineers, designers, and product managers to turn our product and technical vision into cod
• e.Advocate for and implement modern architectural pattern
• s.Extend existing functionality to handle our rapidly increasing scal
• e.Monitor and optimize database queries to increase performanc
• e.Create internal tools to support other engineers and other departments, to make their jobs more efficien
• t.Produce high-quality, thoroughly tested code and perform code reviews for colleague
• s.Provide guidance, documentation, and support to product teams using the platfor
• m.Use observability tools to measure and enhance frontend application performance and reliabilit
• y.Work closely with product engineers to align on platform improvement

Qualificati

• ons6-10 years of experience designing, building, and supporting large scale systems in producti
• on.Expertise in Python and frameworks like FastAPI, Flask, Pyramid, Djan
• go.Experience with SQL database schema design and query optimizatio
• ns.Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernet
• es.Experience with continuous integration and Infrastructure as Co
• de.Strong problem-solving skills and ability to work independently while collaborating effectively within a te
• am.Passion for improving developer experience through better tooling, automation, and documentati
• on.You are flexible and adaptable—you will be juggling multiple projects in a fast-paced startup environme

Nice to Have and AI Experie

• nceExperience working on a Platform team/building tools for other develope
• rs.Experience building products or tools using GenAI/LL
• Ms.Experience working with Graph
• QL.Experience decomposing a large monolith into microservic
• es.Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases introduced by AI-assisted developm
• entExperience building and shipping production-grade software using AI-assisted workflows across the full S
• DLCHands-on experience developing or integrating LLM-powered systems (e.g., agents, copilots, tool-using workflows, or multi-step reasoning syste
• ms)Familiarity with patterns such as tool-calling agents, planning/execution loops, and retrieval-augmented generation (R
• AG)Demonstrated ability to leverage modern AI tools to improve development velocity, code quality, and problem-solv
• ingExperience contributing to AI-powered features (e.g., intelligent search, conversational interfaces, recommendations, automati
• on)Working knowledge of LLMs, embeddings, semantic search, and RAG pipeli
• nesAbility to identify and evaluate opportunities to integrate AI capabilities into products and workfl