JOB DESCRIPTIONYouâre ready to gain the skills and experience needed to grow within your role and advance your career â and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorganChase 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 firmâs 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
ABOUT US
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