Software Engineer III - Python Developer/AWS/Kafka

JPMorgan Chase & Co.Jersey City, NJ
$133,000 - $185,000

About The Position

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.

Requirements

  • Formal training or certification on software engineering concepts and 3+ years applied experience, including backend software development using Python
  • Working knowledge of AWS Cloud services with 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

Nice To Haves

  • AWS certification (Cloud Practitioner, Solutions Architect Associate, or Developer Associate)
  • Exposure to Kafka, 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

Responsibilities

  • Work with AWS services including 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 handling using 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

Benefits

  • comprehensive health care coverage
  • on-site health and wellness centers
  • a retirement savings plan
  • backup childcare
  • tuition reimbursement
  • mental health support
  • financial coaching
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