JP Morgan Chase & Co.

Software Engineer III - Python/AWS/Kafka

JP Morgan Chase & Co.$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Formal software engineering training or certification and 3+ years of backend development experience using Python.
  • Working knowledge of AWS services, with hands-on experience in at least 3-4 key services (e.g., Lambda, API Gateway, RDS).
  • Basic understanding of SQL databases such as PostgreSQL or MySQL.
  • Experience in building RESTful APIs with a grasp of microservices principles.
  • Familiarity with Docker and containerization basics.
  • Understanding of version control systems (Git) and CI/CD concepts.
  • Eagerness to learn about AI/ML systems and agent-based architectures.

Responsibilities

  • Utilize AWS services like Lambda and S3 for various application needs.
  • Develop backend services in Python for model APIs and automation tasks.
  • Contribute to AI agent features and intelligent automation components.
  • Integrate large language model APIs into backend services.
  • Implement message queuing and event handling using tools like Amazon SQS or Kafka.
  • Assist with model deployment pipelines and automation infrastructure.
  • Write infrastructure-as-code using Terraform or CloudFormation.

Benefits

  • Opportunities for professional development and AWS certification support.
  • Collaborative work environment with experienced engineers and ML professionals.
  • Access to innovative technologies and projects in cybersecurity and AI.
  • Strong company culture focused on teamwork and communication.
Full Job Description
Job Description

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 Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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