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Software Engineer III - Python Backend, AI/ML Platforms on AWS

Chase Bank

Columbus, OH

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JOB DETAILS
SKILLS
AWS Lambda, Amazon Simple Notification Service (SNS), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache Kafka, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, Cloud Computing, Code Reviews, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Detail Oriented, Distributed Computing, Docker, Flask, Git, Integration Testing, Internet Security, Messaging Middleware, Messaging Technology, Microservices, MySQL, PostgreSQL, Problem Solving Skills, Python Programming/Scripting Language, REST (Representational State Transfer), Radiography, SQL Databases, Simple Queue Service (SQS), Software Engineering, Source Code/Configuration Management (SCM), Team Building, Team Player, Test Plan/Schedule, Top Sales Rep, Unit Test
LOCATION
Columbus, OH
POSTED
Today
Software Engineer III

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 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

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 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

Preferred qualifications, capabilities, and skills

  • 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
  • Understanding of AWS security best practices (IAM roles, VPC, security groups)

About the Company

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Chase Bank

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