Senior Lead Site Reliability Engineer

• 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, DevOps, 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 (LangChain, LangGraph, AutoGen, CrewAI) and leveraging AI development tools (GitHub 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, RabbitMQ, SQS) for event-driven systems
• Experience with graph databases (Neo4j, TigerGraph), vector databases (Pinecone, Weaviate, Chroma), and integrating multiple data stores for AI-powered systems
• Proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and GitOps workflows
• Ability to communicate data-based solutions with complex reporting and visualization methods, recognized as an active contributor of the engineering community, and continues to expand network and leads evaluation sessions with vendors to see how offerings can fit into the firm's strategy, * Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience with MCP (Model Context Protocol) Servers or similar agent frameworks for building autonomous systems, and understanding of LLM integration, prompt engineering, and RAG (Retrieval-Augmented Generation)
• Familiarity with AI/ML model building, deployment, and lifecycle management using frameworks like TensorFlow, PyTorch, or scikit-learn
• Experience with big data technologies (Hadoop, Spark, Flink), analytical databases, NoSQL databases (MongoDB, Cassandra, DynamoDB), and time-series databases (InfluxDB, TimescaleDB)
• Knowledge of security best practices and compliance requirements in highly regulated industries, with experience in chaos engineering tools (Chaos Monkey, Gremlin, LitmusChaos) and GameDay exercises
• Contributions to open-source projects, particularly in SRE, observability, or AI/ML domains, and certifications in cloud platforms (AWS, Azure, GCP)
• Strong communication skills with ability to mentor and educate others on site reliability principles and practices, and ability to anticipate, identify, and troubleshoot defects found during testing

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.