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 or equivalent experience.
• Must have skills: Java\J2EE, Microservices, Spring Boot, Database knowledge, Angular or React JS, CI\CD, 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 Py Torch/Tensor Flow; MLOps with MLflow and Amazon Sage Maker
• 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, Open Telemetry
• Public cloud (AWS): IAM, VPC, KMS, Private Link; S3, Lambda, API Gateway, ECS/EKS; RDS/DynamoDB; Step Functions; CloudWatch; Secrets Manager; Bedrock integration