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.
As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Chief Data & Analytics Office (CDAO) AI/ML & Data Platforms team, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for services supporting large-scale data platforms and data lake ecosystems. You will ensure those NFRs are embedded into product design and testing phases, that service level indicators effectively measure customer and data platform performance, and that service level objectives are defined with stakeholders and implemented in production to support secure, scalable, and high-performing analytics and AI/ML workloads.
Job responsibilities
- Creates and delivers high quality designs, roadmaps, and program charters alongside the engineering teams, including data platform and distributed systems initiatives
- Acts as a key resource and mentor for technologists in your area seeking advice on technical and business issues, and serves as a culture carrier and site reliability adoption champion for your team
- Collaborates with others to create and implement observability and reliability designs for complex systems and data platforms which are robust, stable, and do not incur additional toil or technical debt
- Uses enterprise-authorized AI capabilities within the work environment to accelerate reliability design and operational decisioning (e.g., incident/post-incident analysis and requirements traceability), validating outputs and handling operational data according to sensitivity and security requirements
- Drives evolution and debugging of critical components, including platform and data system dependencies, by understanding application and infrastructure interdependencies and limitations
- Provides comprehensive and ongoing guidance, tools, and solutions to support the firm’s growth, including scalable data platform infrastructure and engineering best practices
- Makes significant contributions to JPMorganChase’s site reliability community via internal forums, communities of practice, guilds, and conferences
- Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls across application and data platform environments
Required qualifications, capabilities, and skills
- Formal training or certification on site reliability engineering concepts and 5+ years applied experience
- Brings an advanced understanding of site reliability culture and principles and a track record of demonstrating how to implement site reliability within applications, platforms, or large-scale data systems, including strong understanding of SLI/SLO/SLA and error budgets
- Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection across distributed and data platform environments, including tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity
- Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths) while maintaining resiliency, security, and auditability outcomes, ensuring compliance with risk controls and company-wide standards
- Advanced knowledge of software applications and technical processes, including distributed systems, system design, resiliency, testing, operational stability, and disaster recovery, with considerable depth in one or more technical disciplines
- Demonstrated ability to communicate data-based solutions with complex reporting and visualization methods and collaborate effectively across teams to drive incident resolution and improvements
- Recognized as an active contributor of the engineering community
- Strong communication skills and a desire to mentor and educate others on site reliability engineering principles and practices while building strong cross-functional relationships
Preferred qualifications, capabilities, and skills
- Experience with AWS platforms and managed data platforms such as Databricks, including platform administration and engineering support
- Experience in building and managing data pipelines using Spark or similar distributed compute frameworks
- Familiarity with big data ecosystem tools (e.g., Spark, Glue, MapReduce)
- Knowledge of containerization (Docker, Kubernetes) and orchestration frameworks
- Experience with CI/CD pipelines, automation frameworks, and infrastructure as code (e.g., Terraform)
- Proficiency in Python or similar programming languages for automation and platform development
- Familiarity with large-scale distributed systems and data processing environments
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
About Us
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 for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification on site reliability engineering concepts and 5+ years applied experience
- Advanced understanding of site reliability culture and principles, including SLI/SLO/SLA and error budgets
- Advanced knowledge and experience in observability, white and black box monitoring, service level objectives, alerting, and telemetry collection
- Experience with observability tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk
- Demonstrated experience using enterprise-authorized AI capabilities to improve reliability engineering workflows with strong validation and data sensitivity awareness
- Ability to set team practices for safe AI usage in operations, ensuring resiliency, security, auditability, and compliance with risk controls
- Advanced knowledge of distributed systems, system design, resiliency, testing, operational stability, and disaster recovery
- Ability to communicate data-based solutions with complex reporting and visualization and collaborate across teams for incident resolution
- Active contributor to the engineering community and experience mentoring/educating others on SRE principles
- Experience with AWS platforms and managed data platforms such as Databricks (platform administration and engineering support)
- Experience building and managing data pipelines using Spark or similar distributed compute frameworks
- Familiarity with big data ecosystem tools (e.g., Spark, Glue, MapReduce)
- Knowledge of containerization (Docker, Kubernetes) and orchestration frameworks
- Experience with CI/CD pipelines, automation frameworks, and infrastructure as code (e.g., Terraform)
- Proficiency in Python or similar programming languages for automation and platform development
- Familiarity with large-scale distributed systems and data processing environments
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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