You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.

As a Software Engineer II - Java / Python Developer + AI ML + AWS at JPMorgan Chase within the Commercial & Investment Bank, you'll be a part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

Participate in design and develop scalable and resilient systems in a timely manner using Java and React/Angular to contribute to continual, iterative improvements for product teams
Design, write, comment and unit test code to confirm software modules are of the highest quality
Build Microservices that will run on the bank's internal cloud and the public cloud platform
Collaborate with teams in multiple regions and time zones
Participate in scrum team stand-ups, code reviews and other ceremonies, contribute to task completion and blocker resolution within your team
Maintain technical acumen by pursuing formal and informal learning opportunities about technology, JPMorgan Chase products, and financial services
Identify and implement continuous improvement opportunities, to improve delivery flow across product and technology

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2 + years applied experience
Hands-on practical experience as a Java Fullstack Developer
Bachelors or master's degree orequivalent experience.
Must have skills: JavaJ2EE, Microservices, Spring Boot, Database knowledge, Angular or React JS, CICD, designing features, AWS cloud experience, Production issue debugging and fixing
Understanding of architecture and design across all systems and working proficiency in developmental toolsets
Knowledge of industry-wide technology trends and best practices
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Hands-on practical experience in system design, application development, testing, and operational stability

Preferred qualifications, capabilities, and skills

Database modelling, Performance tuning, AWS S3, Practical AI/ML: Python scikit-learn or PyTorch/TensorFlow MLOps with MLflow and Amazon SageMaker
Familiarity with modern front-end technologies, cloud technologies, Microservices
LLMs: OpenAI (GPT, embeddings, function/tool calling) and AWS Bedrock (Claude, Llama, Mistral, Titan) with Knowledge Bases, Agents, Guardrails model evaluation, benchmarking, prompt engineering cost/latency optimization
Data: Strong RDBMS and NoSQL skills SQL performance tuning
Distributed systems: Solid grasp of microservices, messaging, and event streaming (Kafka/Kinesis)
Observability: Experience with CloudWatch, Prometheus/Grafana, OpenTelemetry
Public cloud (AWS): IAM, VPC, KMS, PrivateLink S3, Lambda, API Gateway, ECS/EKS RDS/DynamoDB Step Functions CloudWatch Secrets Manager Bedrock integration