Join us to shape the future of data and analytics, leveraging your expertise to deliver impactful technology solutions. Experience career growth and make a difference in a collaborative environment.
As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team, you will develop and deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools, and work in an agile environment, collaborating with cross-functional teams. You will help drive the firm’s data and analytics journey, ensuring quality, integrity, and security of data, and leveraging AI/ML technologies to support commercial goals. You will contribute to a culture of innovation and operational excellence.
Job responsibilities
- Lead a team of SREs to design, implement, and maintain a managed AWS Databricks platform, providing engineering and operational support to Application/Engineering teams
- Perform platform design, set-up and configuration, workspace administration, and resource monitoring
- Create multi-AZ, multi-region, and multi-cloud resiliency strategies for business-critical products and services
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
- Drive continuous improvement in system observability, alerting, and capacity planning
- Collaborate with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence
- Execute creative software solutions, design, development, and technical troubleshooting
- 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.
- 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.
- Develop secure, high-quality production code, and review/debug code written by others to ensure reliability and correctness.
- Apply SRE best practices to improve reliability, scalability, and performance; eliminate or automate recurring issues; and maintain incident response procedures including root cause analysis and postmortems.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management
- Experience with monitoring tools, automation frameworks, and CI/CD pipelines
- Proficient in Python application program development with use of automated unit testing
- 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.
- Experience with Terraform development and understanding of Terraform enterprise
- Experience in delivering system design, application development, testing, and operational stability
- Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce
- Excellent troubleshooting, analytical, and communication skills
Preferred qualifications, capabilities and skills
- Experience in Data pipelines using Spark
- Exposure to AWS & Databricks Platform administration
- Knowledge of containerization (Docker, Kubernetes) and orchestration
- Familiarity with distributed systems and large-scale data processing
Skills Required
- Formal training or certification in software engineering concepts
- 10+ years of applied experience
- Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management
- Experience with monitoring tools, automation frameworks, and CI/CD pipelines
- Proficiency in Python application development and automated unit testing
- Experience using enterprise-authorized AI capabilities to improve reliability engineering workflows
- Ability to establish safe AI usage practices for operations
- Experience with Terraform development and Terraform Enterprise
- Experience delivering system design, application development, testing, and operational stability
- Knowledge of distributed compute frameworks such as Spark, Glue, and MapReduce
- Excellent troubleshooting, analytical, and communication skills
- Experience building data pipelines using Spark
- Exposure to AWS and Databricks platform administration
- Knowledge of Docker, Kubernetes, and orchestration
- Familiarity with distributed systems and large-scale data processing
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 broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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