Easebuzz - Python Backend - S&R(Settlement & Reconciliation)

Company Profile

Easebuzz is a payment solutions (fintech) company that enables online merchants to accept, process, and disburse payments through developer-friendly APIs. We are focused on building plug-and-play products, including payment infrastructure, to solve end-to-end business challenges across sectors. We’re at the center of all things fintech: payments, lending, subscriptions, eKYC—you name it. Easebuzz is where innovation meets execution. We have been consistently profitable and continue to scale rapidly, having grown 4x in the past year alone. Backed by a strong product roadmap and execution, we recently closed a fresh funding round of $30 million in 2025, led by leading VC firms and strategic investors. This comes in addition to our earlier $4 million fundraising in March 2021. Easebuzz has been granted Full Authorization from the Reserve Bank of India (RBI) for payment aggregator license in 2025. Our corporate culture is built on openness, ownership, and collaboration. We are an equal opportunity employer and celebrate diversity across all levels. At Easebuzz, you’ll find yourself working with passionate colleagues who are committed to growing together. Easebuzz Pvt. Ltd. hasits presence in Pune, Delhi, Mumbai, Bengaluru, Gurugram.

Job Role: Backend Engineer

Location: Pune

Job Type: Full Time

Job Summary

We are looking for a Backend Engineer to design and own high-throughput Settlement and Reconciliation systems that process large-scale financial data with strict accuracy, consistency,and auditability requirements. The role requires strong expertise in MySQL/PostgreSQL, Python backend development, and system design for scalable and reliable data-intensive services. The ideal candidate will excel at handling complex financial edge cases, designing deterministic and idempotent workflows, and optimizing database schemas and queries for correctness and performance. You will work closely with Product, Risk, Finance, and Operations teams to translate financial rules into robust, testable, and production-ready systems.

Technical Skill Set Requirements

1. Database

• Strong proficiency in MySQL and/or PostgreSQL.
• Complex joins, subqueries, CTEs, window functions.
• Data reconciliation and aggregation queries
• Database Design & Optimization.
• Schema design for financial data.
• Partitioning and sharding strategies.
• Indexing, query planning, and performance tuning.

2. Python

• Writing production-grade backend services.
• Strong understanding of data structures and control flows.

3. System Design

• Designing scalable, reliable backend systems.
• Handling large data volumes with consistency guarantees.
• Algorithms & Data Structures.
• Strong problem-solving ability.
• Choosing appropriate data structures for correctness and performance.

4. Edge-Case Handling

• Ability to reason through ambiguous, incomplete, or inconsistent data scenarios.
• Designing deterministic outcomes for complex financial flows.

5. Cloud & Infrastructure

• Experience with AWS services for deploying and operating distributed systems
• Understanding high-availability patterns.

6. Engineering Practices

• Strong unit and integration testing mindset.
• Experience with data correctness validations and invariants.
• Code reviews and design documentation.

Role & Responsibilities

• Design, build, and own high-throughput Settlement & Reconciliation services handling large financial datasets with strict accuracy and auditability requirements. 
• Implement financial calculations with high precision. Identify, analyze, and correctly handle edge cases, inconsistencies, and data anomalies; majority of problem space involves non-standard scenarios. 
• Design and optimize database schemas, queries, and data pipelines for correctness, performance, and scalability. 
• Ensure idempotency, data integrity, and consistency across retries, partial failures, and downstream dependencies. 
• Work closely with Product, Risk, Finance, and Operations teams to translate financial rules into deterministic and testable logic.
• Write clean, well-tested, and maintainable Python code following best engineering practices.

Eligibility & Qualifications

• Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, or a related
• quantitative discipline.
• A master’s degree is a plus.
• 4 + Years of experience