DataOrb - Python Developer - Distributed Systems

About DataOrb :DataOrb is revolutionizing how organizations understand and utilize their customer data. We enable businesses of all sizes-from ambitious startups to Fortune 500 companies-to unlock insights from their customer interactions across conversational, transactional, and structured datasets. Founded by veterans from Google, Amazon, Microsoft, and Samsung, we're driven by a shared mission to democratize customer intelligence and make AI accessible to everyone.The Opportunity :We are seeking an experienced Python Developer proficient in object-oriented programming, Python development, cloud technologies, database design, and advanced Python concepts. The ideal candidate will have a foundational understanding of machine learning, with a strong willingness to learn and grow in this domain. The role involves writing high-quality Python code following SOLID principles and design patterns, as well as guiding and training team members to elevate their coding standards.Core Responsibilities :- Architect and develop robust, scalable, and maintainable Python applications following microservice architecture principles- Demonstrate proficiency in writing multithreaded and parallel processing code for optimizing performance- Drive the creation of modularized codebase, ensuring reusability and maintainability across projects- Develop high-quality Python code adhering to SOLID principles and design patterns- Design and implement scalable solutions leveraging cloud technologies- Contribute to database design and optimization strategies- Mentor and guide team members to enhance code quality and best practices- Collaborate with cross-functional teams to deliver robust and efficient solutions.- Collaborate closely with stakeholders to understand requirements and translate them into technical solutions- Drive code reviews and ensure adherence to coding standards, quality, and performance benchmarks- Research and implement emerging technologies to enhance system efficiency- Lead initiatives to improve development processes and tools, fostering innovation and productivity- Foster a culture of continuous learning and improvement within the teamRequired Qualifications :- Full-time hands-on software engineering experience : Minimum 5+ years designing, developing, and delivering high-performance, production-grade applications using Python in complex, distributed systems.- Expert-level proficiency in Python 3.12+ (or latest stable release)- Deep understanding of object-oriented programming (OOP), design patterns (e., Singleton, Factory, Strategy), and Python-specific idioms (e. , context managers, decorators, generators, async/await).- Follows PEP8 standards and best practices for readable, maintainable, and testable code.- Proficient in type hints (PEP 484), dataclasses, and pydantic for robust, type-safe applications.- Strong grasp of core engineering concepts :1. Connection pooling (e. , SQLAlchemy, psycopg2 connection pools)2. Scalability, throughput optimization, memory management, and profiling using tools like cProfile, line_profiler, memory_profiler.- Asynchronous programming using asyncio, aiohttp, and event-driven architectures.- Experience designing distributed systems and microservices using REST APIs, gRPC, or GraphQL.- Cloud-native development experience, preferably with AWS (Lambda, SQS, SNS, S3, RDS, DynamoDB, SageMaker).- Strong database expertise :1. Relational databases (PostgreSQL, MySQL) : query optimization, indexing strategies, schema design, transactions.2. NoSQL databases (MongoDB 7+, DynamoDB) : data modeling, query optimization, partitioning strategies.- Proficient in testing methodologies :1. Unit testing (pytest, unittest), integration testing, mocking (unittest mock, pytest-mock), and Test-Driven Development (TDD) practices.- Familiarity with Testcontainers for integration tests in containerized environments.- Containerization and orchestration :1. Proficiency with Docker (latest best practices, multi-stage builds, slim images).2. Experience with Kubernetes : deployments, services, config maps, secrets, and Helm charts.3. Experience guiding and mentoring team members-code reviews, knowledge sharing, and promoting best practices across teams.- Excellent communication and collaboration skills-able to articulate design choices, trade-offs, and complex technical topics to both technical and non-technical stakeholders.- Exposure to Machine Learning concepts :- Familiarity with ML frameworks: TensorFlow 2.x, PyTorch 2.x, scikit-learn, or XGBoost.- Experience integrating models into production services (model serving, feature stores, API wrappers).- Hands-on experience with MLOps pipelines and tools- AWS SageMaker for model training, deployment, and monitoring.- MLflow, Kubeflow, or ZenML for experiment tracking and reproducibility.- Bonus : Experience with API design principles (OpenAPI/Swagger) and CI/CD pipelines for Python applications (GitHub Actions, GitLab CI, or Jenkins).- Experience using Cloud ML platforms and MLOps frameworks in production environments, preferably AWS SageMakerDesired Experience :- Background in working on SaaS products- Experience with AI/ML products- Enterprise Python Engineer experienceEducational Requirements :Bachelor's Or Master's degree in one of the following fields :- Bachelor of Computer Science- Bachelor of Engineering (Information Technology)- Masters of Computer Science- Master of Engineering (Information professional experience in Python Engineer (typically 4+ additional years of hands-on experience beyond the base requirement)Technical Toolkit :- Python- Django- MongoDB- Multithreading- AWSWhy Join DataOrb :- Mission : Be part of democratizing customer intelligence and making AI accessible- Impact : Shape how organizations understand and serve their customers- Team : Work with experienced leaders from top tech companies- Growth : Rapid scaling environment with significant learning opportunities- Culture : Autonomous, trust-based environment focused on outcomesBenefits :- Flexible work arrangements- Comprehensive health coverage- Generous PTO policy- Professional development support- Competitive compensation packageOur Values :- Customer Obsession : We practice what we preach- Democratizing Technology : Making complex solutions accessible- Innovation with Purpose : Solving real customer problems- Trust and Autonomy : Freedom to create and deliver excellence (ref:hirist.tech)