Senior Software Engineering Manager

Recur Club

Gurugram District

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Equity
Hands-on leadership opportunities

Job summary

A fintech company in Gurugram seeks a Senior Engineering Manager to lead a team of 8-10 engineers. This role involves owning the architecture of critical systems and integrating AI-powered modules. Candidates should have 8-10 years of software engineering experience, particularly in Java and distributed systems. Join to build and lead the core engineering foundation in a fast-paced environment with competitive compensation.

Qualifications

  • 8-10 years of software engineering experience, including leading small-to-mid sized teams.
  • Exceptional coding and architecture skills in Java (Spring Boot); experience with Python/Go is a plus.
  • Strong background in distributed systems, event-driven architectures, and cloud-native platforms.

Responsibilities

  • Own end-to-end architecture of critical systems: multi-tenant SaaS workflows, APIs, and distributed services.
  • Lead and mentor a team of 8-10 engineers while remaining hands-on.
  • Collaborate with AI/ML engineers to integrate LLM-powered modules into production systems.

Skills

Software engineering experience
Java (Spring Boot)
Distributed systems
Cloud-native platforms (AWS)
Mentoring engineers

Tools

Kafka
Kinesis
Python
Go

Job description

Recur Club is an AI-native debt financing platform, redefining how businesses access growth capital. We empower companies with recurring revenues to unlock instant, non-dilutive capital by trading their subscription and contract receivables.

Our engineering team builds scalable fintech infrastructure infused with AI/LLM capabilities — automating underwriting, compliance, and deal execution. We are lean, fast, and ambitious, solving complex real-world problems in fintech through first-principles engineering.

What We’re Looking For

We want a Senior Engineering Manager who thrives as a technical leader first, with the ability to guide, mentor, and manage a team of 8–10 engineers. You’ll spend a significant portion of your time designing and coding, while also driving execution, setting best practices, and developing your team.

Key Responsibilities
  • Own end-to-end architecture of critical systems: multi-tenant SaaS workflows, APIs, and distributed services.
  • Lead and mentor a team of ~8–10 engineers, balancing technical depth with people growth.
  • Remain hands-on — writing high-quality code, reviewing PRs, and solving hard engineering problems.
  • Collaborate with AI/ML engineers to integrate LLM-powered modules (document intelligence, credit analysis, borrower/lender agents) into production systems.
  • Drive engineering excellence: code quality, testing, CI/CD, observability, and fault tolerance.
  • Scale systems to support high-throughput financial workflows with zero downtime.
  • Act as a multiplier — upskill engineers, instill best practices, and raise the overall technical bar.
Desired Skills & Experience
  • 8–10 years of software engineering experience, including leading small-to-mid sized teams (6–12 engineers).
  • Exceptional coding and architecture skills in Java (Spring Boot); experience with Python/Go a plus.
  • Strong background in distributed systems, event-driven architectures (Kafka/Kinesis), and cloud-native platforms (AWS).
  • Skilled in system design, database design (SQL + NoSQL), and building resilient, multi-tenant SaaS systems.
  • Exposure to LLM/AI integrations, vector databases (OpenSearch, Pinecone, Weaviate), or eagerness to learn quickly.
  • Proven ability to mentor engineers and set technical direction while staying deeply hands-on.
  • Hunger to learn, experiment, and drive impact in a fast-paced fintech environment.
Why Join Us?
  • Build and lead the core engineering foundation of India’s first AI-native debt financing platform.
  • Stay hands-on with architecture + code while leading and mentoring a high-caliber team.
  • Work on cutting-edge AI + fintech use cases with direct business impact.
  • Competitive compensation + equity.

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