Senior Lead Site Reliability Engineer

Position Overview

Senior Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platforms and Foundational Services (IPFS) organization. This role focuses on defining non‑functional requirements (NFRs) and availability targets for services in your application and product lines, ensuring the NFRs are accounted for in design and testing phases and that service level indicators accurately measure customer experience. The role combines traditional SRE excellence with AI/ML capabilities to build autonomous systems that revolutionize infrastructure operations at enterprise scale.

• Creates high quality designs, roadmaps, and program charters for AI‑powered automation systems, intelligent monitoring solutions, and next‑generation reliability platforms that are delivered by you or the engineers under your guidance.
• Provides advice and mentoring to other engineers and acts as a key resource for technologists seeking advice on technical and business‑related issues, particularly in the intersection of SRE and AI/ML technologies.
• Demonstrates site reliability principles and practices every day and champions the adoption of site reliability throughout your team.
• Collaborates with others to create and implement observability and reliability designs for complex systems that are robust, stable, and do not incur additional toil or technical debt, including comprehensive logging pipelines and systems that export, analyze, and visualize observability metrics and traces across distributed systems.
• Designs and builds AI Agents and MCP (Model Context Protocol) Servers for autonomous operations including incident detection, root cause analysis, and auto‑remediation, while architecting solutions that integrate multiple data stores including graph databases, vector databases, transactional databases, analytical databases, and big data platforms.
• Develops automation scripts and infrastructure‑as‑code using Java, Go, Python, and Terraform to improve operational efficiency, and builds and maintains RESTful services, APIs, and message queue architectures for event‑driven systems and platform automation.
• Makes significant contributions to JPMorgan Chase’s site reliability community via internal forums, communities of practice, guilds, and conferences.

• Formal training or certification in software engineering concepts with 10+ years of applied experience in Site Reliability Engineering, Dev Ops, or Software Engineering.
• Advanced knowledge in site reliability culture and principles with demonstrated ability to implement site reliability within an application or platform.
• Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
• Expert‑level proficiency in Java, Go (Golang), Python, and Terraform for building enterprise‑grade applications, high‑performance systems, automation, and infrastructure as code.
• Advanced knowledge of software applications and technical processes with considerable depth in multiple technical disciplines including distributed systems, microservices architecture, and cloud‑native technologies.
• Hands‑on experience building AI Agents and autonomous systems with proficiency in AI frameworks (Lang Chain, Lang Graph, Auto Gen, CrewAI) and leveraging AI development tools (Git Hub Copilot, Claude, etc.) to accelerate development and innovation.
• Expertise in designing and implementing logging pipelines (Fluentd, Logstash, Vector) and systems for metrics collection, analysis, and distributed tracing.
• Strong experience building production‑grade RESTful APIs and designing message queue architectures (Kafka, Rabbit
  
  MQ, SQS) for event‑driven systems.
• Experience with graph databases (Neo4j, Tiger Graph), vector databases (Pinecone, Weaviate, Chroma), and integrating multiple data stores for AI‑powered systems.
• Proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and Git Ops workflows.
• Ability to communicate data‑based solutions with complex reporting and…