Sigmasoft - Full Stack Developer - Python/React.js (5-8 yrs)

Experience : 5-8 years

Job Overview :

We are seeking a highly skilled Full Stack Python Developer with expertise in microservices development, cloud ecosystems, and cryptographic security. The ideal candidate will work on designing, developing, and optimizing scalable microservices using FastAPI, Airflow, React, Kafka, Vector Stores, PySpark, and databases like Postgres/SQL and MongoDB.

Key Responsibilities :

- Design, develop, and maintain scalable microservices using FastAPI and other modern frameworks.

- Work with streaming technologies like Kafka and implement data processing solutions using PySpark.

- Build and integrate vector stores for efficient information retrieval.

- Develop frontend components using React.js to enhance user experiences.

- Work with databases like Postgres/SQL and MongoDB to ensure efficient data storage and retrieval.

- Implement and optimize workflows in Airflow for data pipeline automation.

- Utilize APIs in hyperscaler cloud ecosystems such as AWS (Boto3), Google Cloud (VertexAI), or Azure.

- Implement secure authentication mechanisms (OAuth) and apply cryptographic techniques (hashing, symmetric/asymmetric encryption, obfuscation).

- Ensure application security, performance, and scalability while following best practices.

Required Skills & Experience :

- Strong experience in Python and backend development using FastAPI.

- Proficiency in building and managing microservices architecture.

- Experience with message streaming platforms like Kafka.

- Hands-on experience with PySpark for big data processing.

- Strong understanding of vector stores and NLP techniques.

- Experience with SQL (Postgres, MySQL) and NoSQL (MongoDB) databases.

- Exposure to cloud environments (AWS, GCP, Azure) and their APIs (Boto3, VertexAI, etc.).

- Knowledge of OAuth authentication mechanisms and best security practices.

- Strong expertise in cryptographic methods (hashing, encryption, obfuscation).

Preferred Qualifications :

- Experience with containerization (Docker, Kubernetes).

- Knowledge of CI/CD pipelines and DevOps practices.

- Familiarity with ML models and deployment strategies in cloud environments.