Python Develoer

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.

Position: AIML_Python Enginner

Kothapet_Hyderabad _Hybrid.( 4 days a week onsite)

Contract to hire fulltime to client.

5+ years of python experience for scripting ML workflows to deploy ML Pipelines as real time, batch, event triggered, edge deployment

4+ years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models using Sagemaker piplines, Sagemaker mlflow, Sagemaker Feature Store..etc.

3+ years of development of apis using FastAPI, Flask, Django

3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow.

Solid understanding of ML lifecycle: model development, training, validation, deployment and monitoring

Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus, AUTOSYS for scheduling

Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless

Good to have experience in H2O.ai

Good to have experience in containerization using Docker and Orchestration using Kubernetes.

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python  & Django

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

As an SSE, you will play a crucial role in designing, developing, and maintaining our backend systems

that power our platform. The ideal candidate will have a solid background in Python Django and a

strong understanding of databases, caching, and distributed systems.

● Design, develop, and maintain robust, scalable, and high-performance backend systems using

Python Django.

● Collaborate with cross-functional teams to understand business requirements and translate

them into technical solutions.

● Optimize application performance and scalability by implementing caching strategies, load

balancing, and distributed computing techniques.

● Ensure data integrity and security by implementing best practices for data storage, retrieval,

and access control.

● Develop and maintain integrations with external APIs and services to support seamless

interactions with third-party systems.

● Identify and address performance bottlenecks and other system issues to improve overall

system efficiency.

● Write clean, maintainable, and testable code following industry-standard coding practices.

● Conduct code reviews and provide constructive feedback to peers to ensure code quality and

adherence to best practices.

● Mentor junior team members and assist in their professional growth.

• 8+ years of relevant work experience
• Well-versed in data structures, algorithms, and software design. Programming experience with at least one of
• Java or Python and object-oriented design
• Knowledge on SQL, NoSQL databases, Messaging/Caching technologies and AW deployments is a plus
• Exposure to the architecture and design (design patterns, security, reliability and scaling) of new and current systems. Experience in building highly scalable business applications, which involve implementing large complex business flows involving multiple third-party integrations
• Prior startup experience is a plus

As per 5 yrs below is the tech stack that he should know around django:

·         Django forms

·         Django Rest APIs

·         Schedulers/Cron Jobs

·         Customising middlewares

·         Customising permission classes

·         Management commands

·         Fixtures

·         Multiple Environment handling

·         Multiple database integration

·         SQL and NoSQL database integration experience

·         Use of loggers or any logging mechanism

·         Signals

·         Push notifications over IOS/Android devices

·         Email notifications

·         Websockets

·         Unit testing

·         Caching

·         Payment gateway integration

AWS & Deployment Skills:

·         Deployment of Django over EC2 using Nginx or Apache2

·         Configuring the Django to run the services like websockets, celery

·         Using and configuring the RDS

·         Should know how to use S3 buckets

aws-lambda