Software Engineer 2, Data Platform

CredHive; Delhi; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

CredHive in Delhi seeks a Software Engineer 2, Data Platform to build the core data platform powering applications and customer workflows. The role sits at the intersection of backend engineering, data platforms, and product infrastructure, focusing on reliable data systems, scalability, and observability.

The ideal candidate has 2-3+ years of software engineering experience with strengths in Python, backend systems, APIs, data systems, and AWS.

Qualifications

• 2-3+ years of professional software engineering experience.

Responsibilities

• Data Platform Development: Build reusable platform services and abstractions for product teams to rapidly create applications and workflows.
• Data Access: Create reliable interfaces to query and integrate large datasets for downstream products.
• Backend Systems: Design and develop scalable Python-based services.
• APIs & Integrations: Build internal and external APIs for customers and partners.
• Observability: Implement logging, metrics, tracing, and dashboards for visibility.
• Reliability & Performance: Identify bottlenecks and improve data-quality and resilience.
• Data Platform Architecture: Define patterns for services, data access, async jobs, and authentication.

Skills

Python

Backend/Platform engineering

RESTful APIs

Data modeling

AWS

Observability

Tools

PostgreSQL

SQL/NoSQL databases

OpenSearch/Elasticsearch

Kafka

Redis

SQS

Job description

We are a seed-funded startup using state-of-the-art AI technologies to reimagine how businesses access credit information, risk intelligence, and due diligence. Our product is live with early customers, and our team includes engineers with experience at leading US technology companies. We are looking for a Software Engineer 2, Data Platform to build the core data platform that powers our applications and customer workflows.

This role sits between backend engineering, data platforms, and product infrastructure. You will build data systems that make our data reliable, observable, and easy to consume so that internal teams and customers can build applications and workflows on top of it.

The ideal candidate has 2-3+ years of software engineering experience with a strong background in Python, backend systems, APIs, data systems, and AWS.

Key Responsibilities

• Data Platform Development: Build reusable platform services and abstractions that allow product teams to quickly build new applications and workflows.
• Data Access: Build reliable interfaces and services that make large, complex datasets easy to query, consume, and integrate into downstream products.
• Backend Systems: Design and develop scalable services using Python.
• APIs & Integrations: Build well-designed internal and external APIs for customers, partners, and product teams.
• Observability: Build visibility into system and data flows through logging, metrics, tracing, monitoring, and operational dashboards.
• Reliability & Performance: Identify bottlenecks, failures, and data-quality issues across workflows and improve system resilience and performance.
• Data Platform Architecture: Define common patterns for services, data access, asynchronous jobs, authentication, permissions, and system integrations.

Qualifications

• 2-3+ years of professional software engineering experience, particularly in backend or platform engineering.
• Strong programming experience in Python.
• Strong experience designing and building RESTful APIs and backend services.
• Experience with PostgreSQL, SQL/NoSQL databases, and data modeling.
• Experience with AWS and production cloud applications.
• Strong understanding of observability, monitoring, logging, and debugging complex systems.

Nice to Have

• Experience building data platforms, developer platforms, or API-first products.
• Experience with Redis, SQS/Kafka, OpenSearch/Elasticsearch, or similar technologies.
• Experience working in an early-stage startup environment.