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Engineering Manager

Lead the Credit team at FalconX, focusing on maximizing data accuracy and system reliability in credit systems.

Location
Bangalore, Karnataka, India
Compensation
Not disclosed
Level
lead
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 18 hours ago

Apply at FalconX → Save job Scanned from falconx.io

Skills & Technologies

Python Flexible on stack

Role intensity

20% coding — mostly leadership/strategy

AI in the day-to-day

Integrate modern development tools, including AI tools, into daily engineering processes to boost overall team efficiency.

Requirements

Experience
2–3 years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In the role of Engineering Manager for the Credit team at FalconX, the individual will oversee the development and maintenance of critical credit systems, ensuring data accuracy and system reliability. This position requires a strong engineering background, particularly in backend systems with proficiency in Python, alongside proven people management skills. Ideal candidates will have experience in fintech or lending environments, making them well-suited to lead a team of senior engineers while streamlining processes and enhancing technical execution.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on FalconX's careers page October 29, 2026.
  • Python appears in 9.3% of 1199 comparable lead management roles.

Quick facts

How much experience is required?
2–3 years of relevant experience for this Engineering Manager role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Python.
What seniority level is this role?
FalconX targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Engineering Manager role at FalconX.

From the original posting

Who are we?

Role Overview

As an Engineering Manager for the Credit team, you will lead the core engine driving our credit systems, including the margin notification engine and loan booking system. Your primary focus will be on maximizing data accuracy, system reliability, and architectural integrity. You will lead a high-performing group of senior engineers, stream-lining technical processes, preventing over-engineering, and maintaining a high standard of delivery alongside key stakeholders.

Role Split & Focus Areas

  • Technical Leadership & Architecture (40%): Drive long-term system maintenance, architectural refactoring, and code quality. Ensure technical debt is addressed without blocking impactful business features.
  • Process & Stakeholder Management (20–30%): Partner with product and business stakeholders to prioritize deliverables. Make decisive trade-offs and cut unnecessary overhead to maintain lean execution.
  • People Management & Mentorship (20–30%): Manage, mentor, and guide senior technical talent across performance cycles, career growth, and talent acquisition.

Key Responsibilities

  • Oversee and maintain the reliability, precision, and efficiency of core credit applications (Margin Notification Engine, Loan Booking Systems).
  • Drive architectural roadmap decisions, prioritizing refactoring and system longevity alongside product requirements.
  • Streamline engineering workflows by removing friction, cutting redundant work, and avoiding over-engineered solutions.
  • Integrate modern development tools, including AI tools, into daily engineering processes to boost overall team efficiency.
  • Direct a team of senior technical professionals across performance reviews, hiring, retention, and team alignment.

Requirements & Qualifications

  • People Leadership: Minimum of 2–3 years of hands-on people management experience, having led teams through performance cycles, hiring, and retention management.
  • Technical Background: Strong engineering foundation in backend systems, with primary proficiency in Python.
  • Pragmatic Execution: Proven ability to make decisive calls on technical scope, feature trade-offs, and pragmatic engineering solutions.
  • Domain Expertise (Preferred): Prior experience scaling lending businesses or working within fintech/credit domains. Candidates from high-throughput distributed systems backgrounds who demonstrate strong finance interest and fast learning agility will also be considered.

Nice-to-Have: Previous experience or background in Product Management (~1 year).

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