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 at JPMorgan Chase within the AI/ML & Data Platform team, you are 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

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on practical experience delivering application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages (Python, Go).
• Proficiency in automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Have hands-on experience with A and Multi cloud experience (AWS/Azure) is a plus.
• Strong proficiency with IaC tools (Terraform) and Google Cloud Client Libraries.
• Systematic problem-solving and troubleshooting skills in a complex system.

Preferred qualifications, capabilities, and skills

• Prior experience in Google Vertex AI, AWS Bedrock, Azure OpenAI.
• Prior experience working in GPU scheduling, Model deployment or ML training workloads.
• Prior experience developing GenAI Apps, AI Agents, Vector Search, and RAG patterns.
• Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services.
• Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
• Self-managed, self-motivated with strong sense of ownership, urgency, and drive