Technical Lead (Platform) - India

Overview

Technical Lead on the Platform team, which builds and maintains foundational services such as Identity and Access management, authorization, Search, and API infrastructure, and develops tools and frameworks to improve the developer experience across the software development lifecycle.

What you'll do

• Work with engineers, designers, and product managers to turn product and technical vision into code.
• Advocate for and implement modern architectural patterns.
• Extend existing functionality to handle rapidly increasing scale.
• Monitor and optimize database queries to increase performance.
• Create internal tools to support other engineers and departments.
• Produce high-quality, thoroughly tested code and perform code reviews for colleagues.
• Provide guidance, documentation, and support to product teams using the platform.
• Use observability tools to measure and enhance frontend application performance and reliability.
• Work closely with product engineers to align on platform improvements.

What you'll need

• 6-10 years of experience designing, building, and supporting large scale systems in production.
• Expertise in Python and frameworks like FastAPI, Flask, Pyramid, Django.
• Experience with SQL database schema design and query optimizations.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.
• Experience with continuous integration and Infrastructure as Code.
• Strong problem-solving skills and ability to work independently while collaborating effectively within a team.
• Passion for improving developer experience through better tooling, automation, and documentation.
• Flexible and adaptable, able to juggle multiple projects in a fast-paced startup environment.

Nice to have

• Experience working on a Platform team or building tools for other developers.
• Experience building products or tools using GenAI/LLMs.
• Experience working with GraphQL.
• Experience decomposing a large monolith into microservices.
• Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases introduced by AI-assisted development.
• Experience building and shipping production-grade software using AI-assisted workflows across the full SDLC.
• Hands-on experience developing or integrating LLM-powered systems (e.g., agents, copilots, tool-using workflows, or multi-step reasoning systems).
• Familiarity with patterns such as tool-calling agents, planning/execution loops, and retrieval-augmented generation (RAG).
• Demonstrated ability to leverage modern AI tools to improve development velocity, code quality, and problem-solving.
• Experience contributing to AI-powered features (e.g., intelligent search, conversational interfaces, recommendations, automation).
• Working knowledge of LLMs, embeddings, semantic search, and RAG pipelines.
• Ability to identify and evaluate opportunities to integrate AI capabilities into products and workflows.

Details

• Location: India.