Python Developer

Role: Senior Backend Developer

Exp: 4 - 7 Years

CTC: up to 22 LPA

Key Responsibilities

• Design, develop, and maintain scalable applications using Java (Spring Boot) and Python (Flask).
• Build RESTful APIs and microservices following best practices.
• Implement event-driven architecture leveraging NATS messaging server.
• Deploy, manage, and optimize applications in Kubernetes and containerized environments.
• Develop and manage CI/CD pipelines, ensuring smooth deployment and delivery.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and contribute to architectural decisions.
• Troubleshoot, debug, and optimize application performance.

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Job Title : Python Developer – API Integration & AWS Deployment

Experience : 5+ Years

Location : Bangalore

Work Mode : Onsite

Job Overview :

We are seeking an experienced Python Developer with strong expertise in API development and AWS cloud deployment.

The ideal candidate will be responsible for building scalable RESTful APIs, automating power system simulations using PSS®E (psspy), and deploying automation workflows securely and efficiently on AWS.

Mandatory Skills : Python, FastAPI/Flask, PSS®E (psspy), RESTful API Development, AWS (EC2, Lambda, S3, EFS, API Gateway), AWS IAM, CloudWatch.

Key Responsibilities :

Python Development & API Integration :

• Design, build, and maintain RESTful APIs using FastAPI or Flask to interface with PSS®E.
• Automate simulations and workflows using the PSS®E Python API (psspy).
• Implement robust bulk case processing, result extraction, and automated reporting systems.

AWS Cloud Deployment :

• Deploy APIs and automation pipelines using AWS services such as EC2, Lambda, S3, EFS, and API Gateway.
• Apply cloud-native best practices to ensure reliability, scalability, and cost efficiency.
• Manage secure access control using AWS IAM, API keys, and implement monitoring using CloudWatch.

Required Skills :

• 5+ Years of professional experience in Python development.
• Hands-on experience with RESTful API development (FastAPI/Flask).
• Solid experience working with PSS®E and its psspy Python API.
• Strong understanding of AWS services, deployment, and best practices.
• Proficiency in automation, scripting, and report generation.
• Knowledge of cloud security and monitoring tools like IAM and CloudWatch.

Good to Have :

• Experience in power system simulation and electrical engineering concepts.
• Familiarity with CI/CD tools for AWS deployments.

• Experience in Python
• Experience in any Framework like Django, and Flask.
• Primary and Secondary skills - Python, OOPs and Data Structure
• Good understanding of Rest Api 
• Familiarity with event-driven programming in Python 
• Good analytical and troubleshooting skills

·        Should have 5 to 6 years of work experience as a Python Developer

·        Expertise in at least one popular Python framework (like Django, Flask or Pyramid)

·        Knowledge of object-relational mapping (ORM)

·        Familiarity with front-end technologies (like JavaScript and HTML5)

·        Should have completed B.E/B.Tech. /MCA in any field.

·        Good problem-solving skills and Team spirit.

·        Writing scalable code using Python programming language.

·        Testing and debugging applications.

·        Developing back-end components.

·        Integrating user-facing elements using server-side logic.

·        Assessing and prioritizing client feature requests.

·        Integrating data storage solutions.

Affinsys is a Cognitive CX platform that combines Human & AI realms to help businesses with  customer experience management, hyper-personalization & operations automation. With laser sharp focus on Customer Experience automation for financial services, we use Deep learning, NLP, computer vision, big data, recommendation system & speech analytics fused with our domain knowledge of working with 100's of banks across 50 countries to help financial institutions shift : from legacy to latest channels (Embedded Financial services), from transactions to goal based journeys (Personalized customer experience), from reactive service provider to proactive advisor (Robo/AI based advisory), from silos to ecosystem (Open banking).