Lead Software Engineer - AI, Python/Java

Based in Plano, TX onsite, this Lead Software Engineer role centers on AI and multi-cloud deployment. You will shape an AI-driven observability platform that ties together metrics, logs, and traces to enable self-healing and lower incident ticket volumes, while contributing to a culture that values rigorous engineering discipline and secure, scalable automation. This position sits within JPMorgan Chase and offers a clear path for impact and growth.

Benefits

Our rewards program is designed to support your health, financial security, and ongoing professional development. Key benefits include:

• Health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Commission-based pay
• Incentive compensation (cash and/or forfeitable equity)

Responsibilities

• Design and deploy infrastructure solutions that enable seamless integration between the control plane and user accounts
• Create pipelines to ingest, aggregate, and correlate telemetry data (metrics, logs, traces) from multi-cloud environments
• Architect and implement closed-loop automation playbooks that auto-remediate common, repeatable failures without human intervention
• Lead the team in adopting enterprise AI assisted engineering practices to improve code quality, delivery speed, and operational outcomes, including AI assisted code reviews, refactoring, faster test strategies, and incident/root-cause analysis support, while upholding secure coding, peer review, and automated testing standards and promoting reusable patterns
• Leverage the SDLC toolchain and enterprise AI capabilities to maximize automation value
• Build and operationalize LLM and ML models for anomaly detection, predictive health monitoring, and degradation forecasting
• Integrate the AI engine with ticket data, align observability insights with ticket trends, cluster recurring issues, and quantify reductions in MTTR
• Develop user-friendly self-service portals or conversational AI interfaces that empower non-expert teams to diagnose and safely remediate infrastructure issues

Requirements

• Formal training or certification in software engineering concepts plus 5+ years of applied experience
• AI / ML and Data Science: strong proficiency in Python and Java, plus experience integrating LLM and ML models; familiarity with time-series forecasting pipelines and NLP for log or ticket clustering; solid understanding of agentic AI concepts (A2A, MCPs, Skills, RAG)
• Automation & Orchestration: advanced experience with configuration management tools and automated workflow engines
• Integration: hands-on work building custom webhooks, APIs, and integrations with ticketing systems such as ServiceNow or Jira Service Management
• Big Data Pipelines: competency in managing large-scale streaming data using cloud-native data warehouses (eg Snowflake)
• Cloud & Infrastructure: expertise across multi-cloud architectures (AWS, Azure, GCP) and on-prem environments
• Observability Frameworks: experience with enterprise stacks like OpenTelemetry, Prometheus, and Dynatrace
• Proven ability to lead effective use of approved AI assisted software development tools, setting team expectations for AI output validation in terms of correctness, performance, and security
• Strong focus on responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, resiliency, and security considerations; experience coaching engineers on safe, compliant adoption

Technologies

• Python, Java
• Snowflake
• AWS, Microsoft Azure, Google Cloud Platform (GCP)
• OpenTelemetry, Prometheus, Dynatrace
• ServiceNow, Jira Service Management
• React