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DataOrb - Python Developer - Distributed Systems

DataOrb - Python Developer - Distributed Systems

DataOrbPune
13 days ago
Job description

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 team

Required 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 SageMaker
  • Desired Experience :

  • Background in working on SaaS products
  • Experience with AI / ML products
  • Enterprise Python Engineer experience
  • Educational 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
  • AWS
  • Why 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 outcomes
  • Benefits :

  • Flexible work arrangements
  • Comprehensive health coverage
  • Generous PTO policy
  • Professional development support
  • Competitive compensation package
  • Our 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)

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