Job Description

Python Developer – Data Platform & Middleware

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MSH Business Consulting Pvt. Ltd. | Bangalore / Kolkata

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Build the data backbone of MSH’s next-generation talent platform.

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MSH is building an AI-first talent technology platform designed to make sourcing, matching and hiring smarter, faster and more data-driven.

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We already have platforms powering different parts of the talent ecosystem. Now, we’re building the data and middleware layer that connects them — creating a reliable shared foundation that multiple systems can work from.

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We’re looking for a Python Developer who enjoys solving complex data problems, building production-grade services and working at the intersection of Python, data engineering, APIs and AI.

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This is a role where you will help shape the architecture — not simply maintain an existing application.

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What You’ll Work On

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As part of the engineering team, you will:

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- Build a shared middleware data layer connecting multiple MSH platforms
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- Develop a persistent, system-agnostic Candidate ID to solve identity and deduplication challenges across systems
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- Design Candidate–Job data models that track candidate stages, contact attempts and match scores for individual jobs
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- Build reliable data pipelines from Snowflake and other source systems
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- Identify and resolve data quality issues before they reach downstream systems
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- Design data and access boundaries for client-owned and shared data
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- Build APIs and services that multiple downstream systems can depend on
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- Contribute to the architecture and implementation of a 16-service middleware roadmap




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- Help establish the foundation for future AI/LLM-powered candidate-job intelligence
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Technology You'll Work With

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Core: Python, SQL, REST APIs / Services

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Data: Snowflake, PostgreSQL, Cloud Data Warehouses

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Orchestration: Airflow, dbt, Prefect

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Cloud: AWS, GCP, Azure

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DevOps: Docker, Kubernetes, CI/CD

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Architecture: Data Modelling, Entity Resolution, Multi-Tenant Design

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What We're Looking For

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You should have:

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- 4–7 years of professional Python development experience
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- Strong experience building production-grade data pipelines
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- Strong SQL skills
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- Hands-on experience with Snowflake or a comparable cloud data warehouse
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- Experience working with ETL/ELT pipelines
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- Experience with Airflow, dbt, Prefect or equivalent orchestration tools
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- Experience designing data models for real-world problems such as deduplication, identity resolution and unreliable source data
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- Experience building REST APIs/services or backend components consumed by multiple systems
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- Understanding of data privacy, access control and multi-tenant architecture
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- Hands-on experience with at least one cloud platform — AWS, GCP or Azure
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- Strong engineering judgment and the ability to participate in architecture and design decisions
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AI-First Engineering Environment

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AI is an integral part of how we expect our engineering teams to work.

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Every engineer receives a monthly AI tooling budget for tools such as Claude, GitHub Copilot or equivalent.

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We expect you to use AI actively in your development workflow and demonstrate how it helps you:

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- Deliver faster
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- Improve code quality
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- Reduce bugs
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- Make better technical decisions
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- Explore and solve problems more effectively
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You don't need to be an AI/ML specialist. We are looking for engineers who are curious about AI and know how to use it effectively in their work.

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Good to Have

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Experience with:

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- LLM-based candidate or job scoring
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- OpenAI API or similar LLM APIs
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- AI-enabled data products
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- Entity resolution or identity management
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- Talent/recruitment technology
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Why Join This Team?

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Build the foundation, not just features

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You'll be working on the core data architecture that future MSH talent intelligence capabilities will depend on.

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Solve real engineering problems

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Messy identities, inconsistent data, multiple systems and complex client boundaries — this is production engineering, not a tutorial project.

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Influence architecture

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You'll have the chance to contribute to technical decisions and challenge existing approaches when you see a better way.

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Work AI-first

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You'll have access to the tools and budget to make AI a meaningful part of your engineering workflow.

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📌 Python Developer (Bengaluru)
🏢 MSH (India)
📍 Bengaluru