Senior Lead Site Reliability Engineer

JPMorgan Chase & Co. • Palo Alto, CA

19d • $175,750 - $260,000

About The Position

As a Senior Lead Site Reliability Engineer on JPMorgan Chase’s Infrastructure Platforms and Foundational Services (IPFS) team, you will work with stakeholders to define non-functional requirements and availability targets for services across application and product lines. You will ensure those requirements are incorporated into product design and testing, that service level indicators measure customer experience effectively, and that service level objectives are defined with stakeholders and implemented in production.

The role combines technical leadership, mentoring, reliability engineering, observability, and operational decision-making. You will guide the evolution and debugging of critical components, develop robust reliability designs, and promote reuse-first AI-assisted workflows across the software development lifecycle while maintaining validation, traceability, auditability, security, and resiliency. You will also contribute to the firm's site reliability community and help technologists address technical and business challenges.

Requirements

• Formal training or certification in site reliability engineering concepts and 5+ years of applied experience.
• Advanced knowledge of site reliability culture and principles, with demonstrated ability to implement SRE within an application or platform.
• Advanced knowledge and experience in observability, including white- and black-box monitoring, service level objectives, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
• Expert-level proficiency in Java, Go, Python, and Terraform for enterprise-grade applications, high-performance systems, automation, and infrastructure as code.
• Demonstrated experience using enterprise-authorized AI capabilities to improve reliability engineering workflows, with strong validation habits and awareness of data sensitivity.
• Ability to establish team practices for safe AI use in operations, including review and approval expectations and escalation paths, while maintaining resiliency, security, and auditability.
• Advanced knowledge of software applications and technical processes, with considerable depth across multiple disciplines, including distributed systems, microservices architecture, and cloud-native technologies.
• Hands-on experience building AI agents and autonomous systems using frameworks such as LangChain, LangGraph, AutoGen, or CrewAI, and AI development tools such as GitHub Copilot or Claude; expertise in logging pipelines such as Fluentd, Logstash, or Vector, and systems for metrics collection, analysis, and distributed tracing.
• Strong experience building production-grade RESTful APIs and designing message queue architectures such as Kafka, RabbitMQ, or SQS for event-driven systems; expertise in graph databases such as Neo4j or TigerGraph, vector databases such as Pinecone, Weaviate, or Chroma, and integrating multiple data stores for AI-powered systems.
• Proficiency with containerization tools such as Docker and Kubernetes, CI/CD pipelines, and GitOps workflows.
• Ability to communicate data-based solutions using complex reporting and visualization methods; active contribution to the engineering community; continued network development; and experience leading vendor evaluation sessions to assess offerings against the firm's strategy.

Nice To Haves

• Hands-on experience operating on-premises data-center infrastructure, such as enterprise networking, storage, data-center services, or data protection and replication, and applying SRE practices to physical or hybrid infrastructure.
• Experience with MCP (Model Context Protocol) servers or similar agent frameworks for autonomous systems, and understanding of LLM integration, prompt engineering, and RAG.
• Familiarity with AI/ML model building, deployment, and lifecycle management using TensorFlow, PyTorch, or scikit-learn.
• Experience with big data technologies such as Hadoop, Spark, or Flink; analytical databases; NoSQL databases such as MongoDB, Cassandra, or DynamoDB; and time-series databases such as InfluxDB or TimescaleDB.
• Knowledge of security best practices and compliance requirements in highly regulated industries, and experience with chaos engineering tools such as Chaos Monkey, Gremlin, or LitmusChaos and GameDay exercises.
• Contributions to open-source projects, particularly in SRE, observability, or AI/ML, and cloud-platform certifications in AWS, Azure, or GCP.
• Strong communication skills, ability to mentor and educate others on SRE principles and practices, and ability to anticipate, identify, and troubleshoot defects found during testing.

Responsibilities

• Create and deliver high-quality designs, roadmaps, and program charters with the engineering team.
• Serve as a key resource and mentor for technologists on technical and business issues, and act as a culture carrier and site reliability adoption champion.
• Collaborate on observability and reliability designs for complex systems that are robust, stable, and avoid additional toil or technical debt.
• Use enterprise-authorized AI capabilities to accelerate reliability design and operational decision-making, including incident and post-incident analysis and requirements traceability; validate outputs and handle operational data according to sensitivity and security requirements.
• Drive the evolution and debugging of critical components by understanding application and platform interdependencies and limitations.
• Provide ongoing guidance, tools, and solutions to support the firm's growth.
• Contribute to JPMorganChase's site reliability community through internal forums, communities of practice, guilds, and conferences.
• Lead reuse-first adoption of AI-assisted reliability workflows across SDLC and toolchain practices, including testing and validation automation and production readiness, while ensuring traceability, auditability, resiliency, and security controls.

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Competitive total rewards package, including base salary determined by role, experience, skill set, and location
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed