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ValueLabs is hiring for Python Fullstack Developer
Below is the Job Description.
Job Description:
Qualifications & Skills
1. 5-8+ years of professional backend development experience, with a strong emphasis on building services in Python.
2. Expert-level proficiency in Python and its ecosystem.
3. Proven, hands-on experience with Python web frameworks such as Django, Flask, or FastAPI.
4. Strong, demonstrable experience with the AWS cloud platform. You must have experience with core services such as EC2, S3, RDS, DynamoDB, Lambda, API Gateway, and IAM.
5. Solid understanding of microservices architecture and experience building and deploying distributed systems.
6. Proficiency with both SQL (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB) databases.
7. Experience with containerization technologies like Docker and container orchestration systems like Kubernetes (EKS) is a significant plus.
8. Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation is highly desirable.
Key Responsibilities:
1. Microservice Development: Design, build, and maintain efficient, reusable, and reliable Python code for our microservices architecture.
API Design & Implementation: Develop and maintain clean, well-documented, and versioned RESTful APIs that will be consumed by our frontend and other services.
2. AWS Cloud Services: Leverage a wide range of AWS services to build and deploy your applications. This includes using services like Lambda for serverless functions, S3 for storage, RDS/DynamoDB for data persistence, and SQS/SNS for asynchronous communication.
3. Database Management: Design and optimize database schemas, write efficient queries, and manage data persistence layers using both SQL (e.g., PostgreSQL on RDS) and NoSQL (e.g., DynamoDB) databases.
4.Code Quality & Testing: Write comprehensive unit and integration tests to ensure code quality and reliability. Participate actively in code reviews, providing constructive feedback to your peers.
5. Infrastructure as Code (IaC): Collaborate with the DevOps team to define infrastructure requirements using tools like Terraform or AWS CloudFormation.
Performance & Scalability: Proactively identify and resolve performance bottlenecks. Ensure that our backend services are designed to scale efficiently as user load increases.
If this opportunity aligns with your profile, please share your CV with us at [Confidential Information] or apply directly through the job post.
Job ID: 150633155
Skills:
Numpy, Rabbitmq, Git, Pandas, Docker, Elasticsearch, MongoDB, Azure, Python, Kubernetes, AWS, Hugging Face, llama index, lang chain
Skills:
Numpy, Panda, Mongo Db, Dynamodb, Mssql
Skills:
Git, Javascript, Data Structures, Python, Sql, HTML/CSS
Skills:
Pandas, Javascript, Docker, CSS, Kubernetes, Python, HTML, AWS Bedrock, AWS Cloud Services, Streamlit
Skills:
PostgreSQL, Django Rest Framework, Django, Git, Gcp, Docker, MySQL, Rest Apis, Azure, Kubernetes, Python, AWS
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