Senior Lead Site Reliability Engineer at JPMC Candidate Experience page

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

260000.0

Posted On

07 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Site Reliability Engineering, AI Agents, Java, Go, Python, Terraform, Kubernetes, Docker, Observability, Distributed Systems, Microservices Architecture, RESTful APIs, Message Queue Architectures, Vector Databases, Graph Databases, CI/CD

Industry

Financial Services

Description

Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability and AI-powered infrastructure automation. As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platforms and Foundational Services (IPFS) organization, you will work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your application and product lines. You will ensure those NFRs are accounted for in your products' design and test phases, that your service level indicators are effectively measuring customer experience, and that service level objectives are defined with stakeholders and implemented in production. This role uniquely combines traditional SRE excellence with cutting-edge AI/ML capabilities to build autonomous systems that revolutionize how we operate infrastructure at enterprise scale. Job Responsibilities * 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 Required Qualifications, Capabilities, and Skills * 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 Preferred Qualifications, Capabilities, and Skills * 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 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. 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. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Responsibilities

Define non-functional requirements and availability targets while building AI-powered automation systems for infrastructure operations. Design and implement observability solutions and autonomous agents for incident detection and auto-remediation at enterprise scale.