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

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) Benefits Competitive total rewards package, including base salary, commission‑based pay, and discretionary incentive compensation Comprehensive health care coverage, on‑site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching Additional benefits details provided during the hiring process We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. #J-18808-Ljbffr