Tech Chapter Lead - Python, AWS, LLM Engineering & Microservices

Synechron; Bengaluru; On-site; INR 4,200,000 - 6,600,000; Full time

Job summary

Synechron seeks a seasoned Tech / Chapter Lead with 12–15 years of experience to lead engineering across the Process Intelligence Engine squads. The role blends hands-on development with architectural oversight, focusing on Python, AWS cloud-native services, microservices, LLM integration, and modern front-end tech.

Management experience is required for the Chapter Lead track. The candidate will design, build, test, troubleshoot, and ship production-ready software while guiding engineers across

Qualifications

• Strong hands-on Python production software development experience.
• Experience building and maintaining Python-based services with FastAPI.
• Experience designing, developing, integrating, testing, and supporting RESTful services.
• Experience developing or integrating front-end applications with React/TypeScript.
• Experience with AWS cloud-native services (EC2/S3/DynamoDB/SQS/Secrets Manager/IAM/ALB).
• Experience integrating enterprise LLM capabilities through AWS Bedrock / AI Gateway.
• Experience with LangGraph for LLM-powered workflow orchestration.
• Experience with tool calling, structured outputs, evaluation, and observability in LLMs.
• Redis for caching and low-latency access in distributed workflows.
• Asynchronous and event-driven processing design for non-blocking solutions.
• Docker containerization for applications.
• CI/CD processes including automated build, test, security, and deployment.
• JFrog artifact management workflows.
• SonarQube for code quality and gates.
• Microservices design and delivery across distributed systems.
• Cloud-native integration patterns connecting secure enterprise services.

Responsibilities

• Provide hands-on technical leadership across PIE squads.
• Design, build, test, troubleshoot, and ship production-ready software.
• Set engineering patterns, coding standards, and integration practices.
• Guide technical decisions and ensure architecture alignment.
• Review implementations and PRs for security, scalability, and maintainability.
• Design Python-based microservices using FastAPI and REST APIs.
• Build cloud-native solutions with AWS services (ECS, S3, DynamoDB, SQS, Secrets Manager, IAM, ALB).
• Develop React/TypeScript components and integrate with backend services.
• Integrate enterprise LLM capabilities via AWS Bedrock / AI Gateway.
• Develop LLM-powered workflows with LangGraph, tool/function calling, and orchestration.
• Implement semantic/vector search, LLM evaluation, observability, and speech/transcript processing where needed.
• Design asynchronous/event-driven processing with appropriate messaging patterns.
• Support CI/CD, Docker-based delivery, JFrog, and SonarQube quality controls.
• Mentor engineers and share engineering patterns across squads.
• For Chapter Lead, manage resources, support planning, and grow team capabilities.
• Improve delivery quality, reliability, scalability, and operational readiness.
• Promote efficient cloud/resource usage for sustainable engineering practices.

Skills

Python

FastAPI

REST APIs

React

TypeScript

AWS

LLM integration

LangGraph

LLM engineering

Redis

Asynchronous processing

Docker

CI/CD

JFrog

SonarQube

Microservices

Cloud-native integration

Tools

AWS ECS

AWS S3

AWS DynamoDB

AWS SQS

Secrets Manager

IAM

ALB

Job description

Job Summary

Synechron is seeking a Tech / Chapter Lead with 12 to 15 years of experience to provide hands‑on engineering leadership across the Process Intelligence Engine (PIE) squads. The role is accountable for technical quality, architecture alignment, scale readiness, engineering standards, and delivery outcomes. The successful candidate will actively design, build, test, troubleshoot, review, and ship software. The role combines technical leadership with direct engineering contribution across Python, AWS cloud‑native services, microservices, LLM integration, event‑driven processing, and modern front‑end technologies. For the Chapter Lead role, management experience is required. The position will contribute to maintainable, secure, scalable, and production‑ready solutions while guiding engineers across squads.

Software Requirements

Required

• Python: Strong hands‑on engineering experience in production software development.
• FastAPI: Experience building and maintaining Python-based services.
• REST APIs: Experience designing, developing, integrating, testing, and supporting RESTful services.
• React and TypeScript: Experience developing or integrating front‑end applications.
• AWS cloud-native services: ECSS3DynamoDBSQSSecrets ManagerIAMApplication Load Balancer (ALB)
• Enterprise LLM integration: Experience integrating enterprise LLM capabilities through AWS Bedrock / AI Gateway.
• LangGraph: Practical experience with LLM-powered workflow orchestration.
• LLM engineering: Experience with tool and function calling, structured outputs, evaluation, and observability.
• Redis: Experience supporting caching, low‑latency access, or distributed application workflows.
• Asynchronous and event‑driven processing: Experience designing and implementing non‑blocking, message‑based, or event‑driven solutions.
• Docker: Experience containerizing and running applications.
• CI/CD: Experience supporting automated build, test, security, and deployment workflows.
• JFrog: Experience with artifact or package repository workflows.
• SonarQube: Experience with code‑quality analysis and quality gates.
• Microservices: Experience designing and delivering distributed services.
• Cloud‑native integration patterns: Experience connecting secure enterprise services and platforms.

Preferred

• Experience with semantic and vector search.
• Experience with speech and transcript processing.
• Experience applying LLMs to production software and business workflows.
• Experience with LLM evaluation frameworks, monitoring, tracing, and production observability.
• Experience developing reusable engineering patterns across multiple squads.
• Experience managing engineers in a Chapter Lead or comparable people‑management role.
• Experience working with enterprise process intelligence, automation, or workflow platforms.

Overall Responsibilities

• Provide hands‑on technical leadership across the PIE squads.
• Design, build, test, troubleshoot, and ship production‑ready software.
• Establish engineering patterns, coding standards, integration practices, and quality expectations.
• Guide technical decisions and ensure alignment with the agreed architecture.
• Review implementations and pull requests for correctness, security, scalability, maintainability, and performance.
• Design and develop Python‑based microservices using FastAPI and REST APIs.
• Build cloud‑native solutions using AWS services, including ECS, S3, DynamoDB, SQS, Secrets Manager, IAM, and ALB.
• Develop React and TypeScript components and support integration with backend services.
• Integrate enterprise LLM capabilities through AWS Bedrock / AI Gateway.
• Develop LLM‑powered workflows using LangGraph, tool and function calling, structured outputs, and workflow orchestration.
• Implement semantic and vector search, LLM evaluation, observability, speech processing, and transcript processing where required.
• Design asynchronous and event‑driven processing using appropriate messaging and integration patterns.
• Troubleshoot complex technical issues across applications, integrations, infrastructure, data flows, and AI‑enabled services.
• Support CI/CD, Docker‑based delivery, JFrog artifact management, and SonarQube quality controls.
• Mentor engineers, demonstrate engineering patterns, and provide technical guidance across squads.
• For the Chapter Lead role, manage engineering resources, support development planning, and contribute to team capability growth.
• Improve delivery quality, service reliability, scalability, maintainability, and operational readiness.
• Promote efficient use of cloud compute, storage, networking, and data resources to support sustainable engineering practices.

Technical Skills (By Category)

Programming Languages

Essential

• Python with strong hands‑on production engineering experience.
• TypeScript for front‑end development or service integration.
• JavaScript knowledge relevant to React‑based applications.

Preferred

• Additional programming or scripting experience for automation, testing, deployment, or data processing.
• Experie