Software Engineer II Java & Python Developer + AWS

Youre 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 youll be a part of an agile team that works to enhance design and deliver the software components of the firms 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 banks 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 masters 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