Python Developer

• Design, develop, and maintain Python-based microservices for banking applications.
• Build secure and scalable REST APIs using Flask.
• Deploy and manage applications on AWS EKS/Kubernetes.
• Develop containerized applications using Docker and support CI/CD deployments.
• Integrate AWS services and build cloud-native solutions.
• Integrate AI/ML and GenAI capabilities into enterprise applications and APIs.
• Implement API authentication, authorization, logging, monitoring, and security.
• Troubleshoot application, API, Kubernetes, and AWS production issues.
• Work with Kafka/message queues for asynchronous and event-driven processing.
• Collaborate with architects, DevOps, QA, data/ML engineers, and banking business teams.
• Participate in code reviews, technical design, testing, deployment, and production support.
• Ensure applications meet banking security, reliability, scalability, and compliance requirements.

We are seeking an experienced Python Developer with strong expertise in AWS Cloud, Microservices, Flask, REST APIs, and Kubernetes/EKS to develop scalable, secure applications for a banking/financial services client. The ideal candidate will have hands-on experience with the AWS ecosystem, Docker, CI/CD, API development, and cloud-native architectures, along with AI/ML or Generative AI integration using technologies such as SageMaker or Amazon Bedrock. Banking domain experience and knowledge of secure, highly available enterprise applications are highly preferred., * 5+ years of experience in Python development.

• Strong hands-on experience with Flask and REST API development.
• Strong understanding of Microservices architecture and distributed systems.
• Hands-on experience with AWS Cloud services, especially EKS, EC2, S3, Lambda, API Gateway, SQS/SNS, RDS, and CloudWatch.
• Strong experience with Kubernetes and Amazon EKS, including deployments, services, ingress, ConfigMaps, Secrets, and scaling.
• Experience with Docker and CI/CD pipelines.
• Experience integrating AI/ML or Generative AI capabilities into Python applications; AWS SageMaker or Bedrock experience is a plus.
• Strong experience with relational/NoSQL databases such as Oracle, PostgreSQL, or DynamoDB.
• Experience with Kafka or event-driven architectures is preferred.
• Strong understanding of API security, OAuth/JWT, IAM, encryption, and secure coding practices.
• Experience with monitoring and observability tools such as CloudWatch, Splunk, Grafana, or Prometheus.
• Banking/Financial Services domain experience is highly preferred.