Senior Python Developer

Real; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading real estate brokerage in India is seeking a Senior Python Developer - Tech Lead to join their Engineering team. The successful candidate will own the design and delivery of scalable Python backend systems and provide technical leadership. Candidates should have 6+ years of experience with Python, strong API design skills, and proficiency in integrating ML models into backend services. This role promotes mentorship and collaboration across teams, offering exciting opportunities to make an impact in the tech-driven real estate sector.

Qualifications

• Experience integrating ML models and data pipelines into backend services.
• Solid understanding of Python deployment, containerization, and cloud-native practices.
• Prior experience mentoring engineers or leading technical initiatives.

Responsibilities

• Own backend technical initiatives end-to-end, from requirements to deployment.
• Design, build, and maintain scalable backend services and APIs in Python.
• Lead and contribute to CI/CD pipelines with automated testing.

Skills

Kubernetes or similar container orchestration tools

ML infrastructure or data engineering platforms

Large-scale production ML systems

Education

6+ years of professional experience developing backend systems using Python

Strong experience designing scalable APIs and microservice architectures

Experience with AWS and modern CI/CD workflows

Tools

PostgreSQL

MongoDB

Job description

Who We Are

Real (Nasdaq: REAX) is a publicly traded, fast‑growing global real estate brokerage powered by technology and driven by people. Since our founding in 2014, we’ve been reimagining the residential real estate experience. With operations across the U.S., Canada, India, and the District of Columbia, we’re leading the industry with our cutting‑edge platform that empowers agents, simplifies the buying and selling journey, and unlocks greater financial opportunities.

At Real, we believe in pairing Tech x Humanity to create something truly different. Learn more at https://www.onereal.com/

Work Schedule

02:30 PM – 11:30 PM IST Monday - Friday.

About the Role

We are looking for a Senior Python Developer - Tech Lead to join our Engineering team at Real Brokerage. In this role, you will be a hands‑on backend engineer while also providing technical leadership and mentorship. You will own the design and delivery of scalable Python backend systems that power ML‑driven products, working closely with ML, Product, and DevOps teams.

What You’ll Do

Technical Leadership & Ownership

• Own backend technical initiatives end-to-end, from requirements and design through implementation and deployment.
• Help define and evolve backend architecture and technical direction for Python-based software platforms.
• Provide guidance on best practices, system design, and long‑term maintainability.

Backend Development & Architecture

• Design, build, and maintain scalable backend services and APIs in Python.
• Integrate Machine Learning models, data pipelines, transformers, and vector databases into production systems.
• Build and support microservice architectures that scale with data and usage.

Collaboration & Execution

• Partner with Product Managers, ML Engineers, and feature owners to translate business and ML requirements into technical solutions.
• Work closely with DevOps to ensure reliable deployments, monitoring, and scalability.
• Participate in code reviews, pairing, and knowledge‑sharing activities.

Mentorship & Code Quality

• Mentor junior and mid‑level engineers, supporting their technical growth and development.
• Set standards for code quality, testing, and documentation.
• Lead refactoring efforts and technical improvements using established design patterns.

CI/CD & Reliability

• Lead and contribute to CI/CD pipelines, ensuring automated testing and smooth deployments.
• Troubleshoot production issues, performance bottlenecks, and system reliability concerns.
• Ensure backend services are stable, observable, and production‑ready.

What You’ll Bring

• Experience with Kubernetes or similar container orchestration tools.
• Exposure to ML infrastructure or data engineering platforms.
• Background working on large‑scale, production ML systems.

Education & Experience

• 6+ years of professional experience developing backend systems using Python.
• Strong experience designing scalable APIs and microservice‑based architectures.
• Experience integrating ML models and data pipelines into backend services.
• Solid understanding of Python deployment, containerization, and cloud‑native practices.
• Experience with AWS and modern CI/CD workflows.
• Knowledge of relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Prior experience mentoring engineers or leading technical initiatives.
• Comfortable working in agile, fast‑paced, distributed teams.

How We Work: Our Operating Principles

• Be Agent Obsessed: We design every decision around creating value for our agents and their clients.
• Move Fast with Purpose: We act with urgency, clarity, and focus—without compromising our standards.
• Own Your Outcome: Effort matters, but results matter more. We adapt, learn, and improve.
• Be Bold; Challenge Often: We challenge assumptions, rethink “the usual,” and push for smarter, simpler solutions.
• Win Together: We set high standards, collaborate deeply, and celebrate shared success.

Additional Details

• Location Requirements: Candidates must be based in India to be considered.
• Physical Requirements: Ability to sit for long periods of time.

Our Commitment

Reax Technology Platform Private Limited is proud to be an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We welcome applicants of all backgrounds and identities, and we do not discriminate on the basis of race, color, ancestry, religion, sex, sexual orientation, gender identity or expression, age, marital or family status, disability, citizenship, veteran status, or any other status protected by applicable law.