Why this role stands out
This hybrid role offers an exciting opportunity to leverage your Python and AWS expertise to build cutting-edge financial applications, with potential for AI/ML integration and significant skill development. You'll thrive here if you're a mid-senior developer passionate about microservices, cloud-native architectures, and delivering secure, scalable solutions. Apply today to join a dynamic team and make a real impact!
Quick overview
Job description
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.
Required Qualifications
- 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.
Key Responsibilities
- 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.
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