Ai engineer/python developer (bangalore, india based) Jobs

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Full Stack Developer

Safran -
Bengaluru, Karnataka

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Job details

Full-time | Contractual / Temporary

Qualifications

Power BI
Node.js
Software design
Internet of things
Kubernetes
Full-stack development
Big data
Load balancing
Spark
NoSQL
English
MongoDB
Tableau
Databases
Microservices
SQL
AWS
Docker
Bachelor's degree
PostgreSQL
Redis
Back-end development
REST
Data analytics
Django
APIs
Agile
S3
Kafka
GraphQL
DynamoDB
AI
RDS database
Communication skills
Python
MySQL
AMQP
Hadoop
Design patterns

Full job description

Published 12.17.2025

Company : Safran Engineering Services Job field : Software Location : Bangalore , India Contract type : Fixed Term contract Contract duration : Full-time Required degree : Bachelor's Degree Required experience : More than 8 years Professional status : Professional, Engineer & Manager Spoken language(s) : English Fluent

# 2025-157603

Published 12.17.2025

Job Description

Contribute to the development of microservices architecture, focusing on data ingestion, complex backend services, and high-velocity data applications.
Design and implement scalable backend services using AWS cloud technologies.
Develop, deploy, and optimize ChatGPT-based generative AI agents tailored for various applications including conversational interfaces, data analysis, and automation.
Microservices Architecture: Architect and implement microservices with independently deployable modules to ensure improved fault isolation, granular scalability, and facilitated continuous delivery.
Utilize Docker and Kubernetes for containerization and orchestration of microservices.
Implement API gateways and service meshes (e.g., Istio) for managing internal communication, load balancing, and security policies of microservices.
Data-Driven Solutions: Build sophisticated data analytics platforms capable of processing and analyzing large datasets in real-time.
Utilize streaming technologies like Apache Kafka or AWS Kinesis for real-time data ingestion and processing.
Implement ETL pipelines using AWS Glue, AWS Lambda, or similar technologies.
Collaborate: Work closely with cross-functional teams, including frontend developers, data scientists, and DevOps engineers, to deliver comprehensive solutions.
REST/GraphQL Services: Design and implement robust APIs using REST and GraphQL standards.
Implement GraphQL servers using Apollo or similar frameworks.
Utilize RESTful API principles for efficient and scalable endpoint design.
Database Management: Work with SQL and NoSQL databases to ensure efficient and secure data storage, retrieval, and analysis.
Design and optimize database schemas for performance and scalability.
Implement data caching strategies using Redis or Memcached.
Design Patterns and Best Practices: Uphold and advocate for software design patterns and coding standards to maintain high-quality codebases.
Implement patterns such as Singleton, Factory, Observer, Strategy, and Circuit Breaker to ensure code robustness and maintainability.

Job Requirements

Experience: Proven track record as a Full Stack Engineer with significant experience in backend development using AWS, NodeJS, and Python.
Technical Skills:
AWS Services: EC2, Lambda, S3, CloudFormation, ECS, RDS, DynamoDB, and other core AWS services.
Programming Languages: Proficient in NodeJS, Python, and Django.
Microservices Architecture: Experience in designing and implementing microservices.
API Development: Strong understanding of REST and GraphQL APIs.
Database Proficiency: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
Design Patterns: Familiarity with software design patterns and best practices.
Additional Competencies:
IoT Integration: Experience with IoT platforms, data ingestion techniques, and communication protocols (e.g., MQTT, AMQP).
GenAI: Experience with developing AI models, specifically ChatGPT or similar technologies.
Familiarity with OpenAI API and fine-tuning GPT models.
Experience in deploying and scaling AI models in production environments.
Data Analytics: Strong background in building and optimizing data analytics platforms.
Proficient with big data technologies (e.g., Hadoop, Spark) and BI tools (e.g., Tableau, PowerBI).
Collaboration: Strong communication skills and experience working in agile environments.
Adaptability: Ability to quickly learn new technologies and thrive in a fast-paced, dynamic environment.

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