Engineering Team Lead

Recro; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Recro in Bengaluru is seeking an experienced engineering lead to drive architecture for high-volume data-intensive systems. You will stay hands-on with production systems, owning reliability, scalability, and correctness while collaborating with the founder on architecture.

This role emphasizes deep technical influence over people management, requiring comfort with ambiguity, big data tools, and leading a small team through architecture decisions, reviews, and mentoring.

Qualifications

• 5–7 years building backend, distributed, or data-intensive systems.
• Proficient in Python or TypeScript, and comfortable with the other.
• Deep understanding of distributed systems, retries, idempotency, failures.
• Hands-on experience with high-volume data processing.
• Leadership experience in mentoring and code reviews.
• Focus on correctness, observability, and production reliability.

Responsibilities

• Drive architecture across TS/NestJS workflows and Python data/AI services.
• Build reliable long-running workflows with durable execution and idempotency.
• Design scalable data processing using Polars, DuckDB, Parquet, and streaming.
• Build evaluation frameworks to measure AI/system accuracy.
• Own production systems in customer cloud environments.
• Lead hiring, code reviews, and mentor engineers.
• Maintain boundaries between workflow orchestration, AI execution, and bulk data processing.

Skills

Backend development

Python

TypeScript

Distributed systems

Long-running workflows

Production reliability

Mentoring

Tools

Temporal

Docker

Terraform/Bicep

OpenTelemetry

Polars

DuckDB

Parquet

Job description

Experience: 5–7 years | Joining: Immediate

About the Role:

Lead a small engineering team building high-volume, data-intensive systems that transform complex enterprise data into accurate, machine-readable outputs. You’ll work closely with the founder on architecture and own system reliability, scalability, and correctness.

What Makes This Role Different:

This is not a pure people-management role. You’ll remain deeply hands-on with architecture, production systems, and technical decisions. You’ll also be expected to operate effectively in ambiguity and challenge existing architectural decisions when needed.

What You’ll Own:

• Drive architecture across TypeScript/NestJS workflows and Python data/AI services
• Build reliable long-running workflows with durable execution, retries, and idempotency
• Design scalable data processing using Polars, DuckDB, Parquet, and streaming
• Build evaluation and regression frameworks to measure AI/system accuracy
• Own production systems running in customer cloud environments
• Lead hiring, code reviews, technical decisions, and mentor engineers
• Maintain clean boundaries between workflow orchestration, AI/agent execution, and bulk data processing

What We’re Looking For:

• 5–7 years building backend, distributed, or data-intensive systems
• Strong expertise in Python or TypeScript, with working proficiency in the other
• Strong understanding of distributed systems, retries, idempotency, failures, and long-running workflows
• Hands-on experience with high-volume data processing
• Engineering leadership experience — mentoring, reviewing, and raising technical standards
• Strong focus on correctness, observability, and production reliability

Strong Plus:

• Temporal or similar workflow orchestration platforms
• LLM/AI systems with measurable evaluation
• Azure and enterprise cloud environments
• LangGraph / agentic workflows
• Docker, Terraform/Bicep, OpenTelemetry