Sr. Python Software Engineer

Top Desired Skills:

• Expert-level Python development (asyncio, OOP/OOD, API frameworks).
• Strong software engineering fundamentals.
• Experience with Git, CI/CD, Docker, cloud services, monitoring/observability tools.
• Experience with NoSQL/document databases and vector databases/search technologies.

We are seeking a highly experienced Sr. Python Software Engineer to support our Generative AI, Machine Learning (AI/ML), and data-driven product initiatives. This role partners closely with Data Scientists, AI/ML Engineers, and MLOps to productionize models, strengthen engineering standards, and build reliable backend systems. The ideal candidate is an expert in Python, backend development, API design, cloud deployment, and CI/CD automation.

Key Responsibilities:

AI/ML Application Support

• Support Data Scientists, AI/ML Engineers, and MLOps by improving robustness, reliability, and scalability of AI/ML applications.
• Ensure prototypes transition into production through testing, validation, and software engineering best practices.
• Build data/storage connectors (Cosmos DB, MongoDB, relational databases, vector stores, blob storage).
• Monitor and troubleshoot AI-related services in production.

Backend Engineering & Architecture

• Design and build scalable backend systems using Python, OOP/OOD, and async programming.
• Develop robust and secure APIs and backend services.
• Implement secure authentication and authorization workflows (OAuth2, JWT, SSO, Azure AD, etc.) within backend services.
• Design and maintain reliable session management mechanisms for internal and external applications.
• Integrate and optimize caching layers (Redis, in-memory caching, distributed cache) to improve performance, reduce latency, and support scalable architectures.
• Translate business and technical requirements into well-architected solutions.
• Write clear, maintainable, and well-documented code.

DevOps, CI/CD, and Versioning

• Establish Git branching strategies, application versioning, and release workflows.
• Build and maintain CI/CD pipelines for Python services.
• Implement automated testing, code quality tools, and review processes.
• Support deployments using Docker (Kubernetes optional).

Cloud Platforms & Infrastructure

• Deploy and manage applications in AWS or Azure.
• Implement observability (EFK/ELK, Prometheus, Grafana, Datadog, OpenTelemetry).
• Work with vector and search databases (FAISS, Pinecone, Weaviate, Elasticsearch, OpenSearch).

Collaboration & Teamwork

• Collaborate with Architects, Product Managers, Data Scientists, ML Engineers, QA, and Frontend teams.
• Seek and incorporate feedback to strengthen engineering quality.
• Contribute to improving team processes and development workflows.

Education & Experience

• Bachelor s or Master s degree in Computer Science, Engineering, or related field.
• 8+ years of professional experience developing backend applications in Python.
• Hands-on experience deploying applications to AWS or Azure.
• Experience supporting Data Science or Machine Learning teams.

Desired Skills:

Technical Skills

• Expert-level Python development (asyncio, OOP/OOD, API frameworks).
• Strong software engineering fundamentals.
• Experience with Git, CI/CD, Docker, cloud services, monitoring/observability tools.
• Experience with NoSQL/document databases and vector databases/search technologies.

Soft Skills

• Strong collaboration and communication abilities.
• Ownership mindset with attention to quality and detail.
• Ability to navigate and improve large, complex codebases.