Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the AI/ML & Data platform team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Architect solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast growing demands.
• Create the tooling and services needed to safely deploy and operate ML Models.
• Build monitoring and observability tools to track model performance, data quality, and system health
• Reduce operational toil by automating repetitive tasks and building self-healing systems and remediation workflows.
• Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems.
• Participates in on-call rotations and debug and solve issues in a production environment.
• Take full ownership of problems, develop solutions, and acquire new knowledge to complete the task.
• Mentor and guide junior engineers.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, 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.
• Hands-on experience with AWS and strong proficiency with IaC tools (Terraform).
• Expert in microservice, event driven architecture and distributed computing.
• Systematic problem-solving and troubleshooting skills in a complex system.
• 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
  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.