We are looking for a strong, hands-on Python Backend Engineer with excellent programming fundamentals, problem-solving ability, and a clear understanding of software design.

The ideal candidate should be comfortable building backend applications using Python, designing APIs, modelling data, and writing clean, reliable, and well-tested code. Advanced experience with microservices, distributed systems, asynchronous programming, or cloud-native architecture is not mandatory, as these areas can be developed on the job.

Candidates may use AI-assisted development tools, but they must be able to independently review, explain, validate, debug, and take complete ownership of the generated code.

Key Responsibilities

• Design, develop, and maintain backend applications using Python.
• Build clean and reliable REST APIs using FastAPI, Flask, Django, or similar frameworks.
• Convert business requirements into clear technical implementations.
• Apply strong programming fundamentals and object-oriented design principles.
• Design data models, entities, relationships, and database schemas.
• Write readable, modular, maintainable, and testable code.
• Debug application issues and perform structured root-cause analysis.
• Write unit tests and handle validation, edge cases, and failures.
• Participate in code reviews and clearly communicate technical decisions.
• Use AI and LLM-based development tools responsibly while retaining complete understanding and ownership of the implementation.

Requirements

• 2-3 years of hands-on software development experience.
• Strong knowledge of Python fundamentals, including:
• Data types and control flow
• Functions, classes, objects, and inheritance
• Encapsulation, abstraction, and polymorphism
• Lists, dictionaries, sets, and tuples
• Exceptions and error handling
• Modules, packages, and dependency management
• Iterators, generators, decorators, and context managers
• Strong understanding of object-oriented programming and software design principles.
• Good programming, logical reasoning, and problem-solving ability.
• Understanding of data structures, algorithms, and time and space complexity.
• Experience building REST APIs using FastAPI, Flask, Django REST Framework, or similar frameworks.
• Understanding of HTTP methods, status codes, validation, and API error handling.
• Good understanding of database fundamentals, including:
• Tables and relationships
• Primary and foreign keys
• Constraints and indexes
• Transactions and query design
• Experience writing unit tests and debugging Python applications.
• Ability to design simple and appropriate solutions without unnecessary abstractions.
• Ability to clearly explain the behaviour and purpose of implemented code.
• Ability to review and validate AI-generated code before using it.

Preferred Skills

• Experience with MySQL or PostgreSQL.
• Familiarity with Redis, Kafka, RabbitMQ, Celery, or cloud platforms.
• Exposure to microservices and distributed systems.
• Basic understanding of asynchronous programming using asyncio.
• Experience working in a product-focused or strong engineering environment.
• Exposure to applications handling meaningful production traffic.
• Basic frontend knowledge is an added advantage.

Benefits

• Best-in-class salary: We hire strong talent and compensate accordingly.
• Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
• Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
• High-impact work: Build AI-first systems and products used at scale by global clients.

About Us
Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.
Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.