Software Engineer III - Python/AWS/Kafka

Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.

As a Software Engineer III at JPMorgan Chase within the Cybersecurity Technology & Controls, you will join a team building model serving and agentic AI platforms on AWS.

Job responsibilities



* Work with AWS servicesincluding Lambda, API Gateway, ECS, RDS/Aurora, DynamoDB, S3, and CloudWatch


* Develop backend services using Python (FastAPI, Flask) for model APIs, agent integrations, and automation workflows


* Contribute to building AI agent features and intelligent automation components


* Integrate LLM APIs (Amazon Bedrock, OpenAI) into backend services and workflows


* Implement message queuing and event handlingusing Amazon SQS, SNS, Kinesis, or Kafka (MSK)


* Assist in building model deployment pipelines and infrastructure automation using AWS services


* Write infrastructure-as-code using Terraform or AWS CloudFormation under guidance from senior engineers


* Implement logging and monitoring using CloudWatch, X-Ray, and other observability tools


* Write unit tests, integration tests, and participate in code reviews


* Collaborate with ML engineers and senior developers to understand requirements and implement solutions


* Learn and apply AWS best practices for security (IAM, VPC, Secrets Manager) and cost optimization

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering concepts and 3+ years applied experience, including backend software development using Python


* Working knowledge of AWS Cloud serviceswith hands-on experience in at least 3-4 core services (Lambda, API Gateway, RDS, DynamoDB, S3, SQS/SNS, or CloudWatch)


* Basic understanding of SQL databases (PostgreSQL, MySQL, or Aurora)


* Experience building RESTful APIs and understanding of microservices principles


* Familiarity with Docker and containerization concepts


* Understanding of version control (Git) and basic CI/CD concepts


* Eagerness to learn about AI/ML systems, agent-based architectures, and MLOps


* Strong problem-solving mindset and attention to detail


* Good communication and teamwork skills

Preferred qualifications, capabilities, and skills



* AWS certification(Cloud Practitioner, Solutions Architect Associate, or Developer Associate)


* Exposure toKafka, Amazon Kinesis, MSK, or other messaging/streaming systems


* Familiarity with LLM APIs (Amazon Bedrock, OpenAI, Anthropic) or AI frameworks (LangChain)


* Basic understanding of ML model deployment, SageMaker, or MLOps concepts


* Experience with Terraform or AWS CloudFormation


* Knowledge of microservices architecture patterns and distributed systems


* Exposure to Kubernetes (EKS) or container orchestration


* Understanding of AWS security best practices (IA...