Lead Infrastructure Engineer – Infrastructure (HPE NonStop/Tandem) with AI/Automation
As the Lead Infrastructure Engineer at JPMorganChase within the IP organization, you will be responsible for designing, deploying, and supporting payment infrastructure deployments. The ideal candidate will have hands-on experience with HPE NonStop hardware and architecture, as well as a strong understanding of related subsystems and secure key management. This role is responsible for configuring, maintaining, and troubleshooting HPE NonStop systems and associated components, ensuring high availability and security for enterprise operations.
Job Responsibilities
- Configure, maintain, and troubleshoot HPE NonStop hardware and architecture.
- Manage and configure Enterprise Secure Key Managers to ensure robust security for sensitive data.
- Set up and maintain Etinet servers, ensuring optimal performance and integration with HPE NonStop systems.
- Understand and support HPE NonStop subsystems (Mediacom, TMF, KMSF), and their relationship to hardware for effective troubleshooting and planning of upgrades or installations.
- Utilize and manage SCF, ZZSTO, ZZZCIP, and ZZKRN utilities for system configuration, monitoring, and maintenance.
- Collaborate with cross-functional teams to plan and execute system upgrades and installations.
- Document configurations, procedures, and troubleshooting steps for knowledge sharing and compliance.
AI / Automation add-ons
- Leverage AI-assisted operations (AIOps) techniques to improve incident triage, reduce MTTR, and proactively detect infrastructure risks (e.g., anomaly detection on system/EMS logs, event correlation, early-warning indicators).
- Design and maintain automation workflows (runbooks/self-healing) that use predictive signals and operational telemetry to automate common remediation steps safely with approvals and guardrails.
- Build and curate high-quality operational knowledge (KB articles, runbooks, known-error records) that can be used by AI assistants to provide accurate, auditable troubleshooting guidance.
- Partner with SRE/Observability and Cyber teams to evaluate, implement, and govern AI-enabled monitoring and alerting, ensuring model outputs are explainable, traceable, and compliant with security controls.
- Use AI tooling to accelerate root-cause analysis, change-impact assessment, and post-incident reviews while ensuring human validation for production actions.
Required qualifications, capabilities and skills
- In-depth knowledge of HPE NonStop hardware and architecture, including system configuration and maintenance.
- Experience with Enterprise Secure Key Managers: ability to configure and manage secure key solutions in an enterprise environment.
- Proficiency in configuring Etinet servers and integrating them with HPE NonStop systems.
- Strong understanding of HPE NonStop subsystems (Mediacom, TMF, KMSF) and their interaction with hardware, especially for troubleshooting and upgrade/install planning.
- Hands-on experience with SCF, ZZSTO, ZZZCIP, and ZZKRN for system configuration and management.
- Excellent analytical and problem-solving skills.
- Strong documentation and communication abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
- Advacned English skills
AI / Data / Automation skills
- Experience applying AIOps / ML-driven monitoring concepts (anomaly detection, alert correlation, noise reduction, trend forecasting, predictive capacity/health signals) in a production infrastructure environment.
- Ability to work with telemetry pipelines (logs/metrics/traces), define data quality expectations, and operationalize signals for automation and reliability outcomes.
- Practical experience using AI assistants for troubleshooting and documentation, with an emphasis on validation, secure handling of sensitive data, and producing audit-ready outputs.
- Familiarity with prompting and evaluation practices (structured prompts, reproducibility, grounding to runbooks, measuring usefulness/accuracy, and reducing hallucinations through verification).
- Working knowledge of automation/scripting used to integrate AI insights into operations (e.g., runbook automation, ticket enrichment, automated diagnostics), with strong change-control discipline.
Preferred qualifications
- Experience implementing or operating AIOps platforms and integrating them with incident/ticketing workflows.
- Exposure to LLM governance concepts in enterprise settings (data classification, access controls, audit logging, model risk considerations).
- Experience building operational analytics (e.g., Python/SQL) to mine EMS/application logs for recurring patterns, failure modes, and leading indicators.
- Familiarity with reliability practices (SLOs/SLIs, error budgets, blameless postmortems) and using AI to improve these processes.
Skills Required
- In-depth knowledge of HPE NonStop hardware and architecture (system configuration and maintenance)
- Experience with Enterprise Secure Key Managers and secure key configuration/management
- Proficiency configuring Etinet servers and integrating with HPE NonStop systems
- Strong understanding of HPE NonStop subsystems (Mediacom, TMF, KMSF) and their interaction with hardware
- Hands-on experience using SCF, ZZSTO, ZZZCIP, and ZZKRN for system configuration and management
- Excellent analytical and problem-solving skills
- Strong documentation and communication abilities
- Ability to work independently and as part of a team in a fast-paced environment
- Experience applying AIOps/ML-driven monitoring concepts (anomaly detection, alert correlation, predictive signals)
- Experience working with telemetry pipelines (logs, metrics, traces) and operationalizing signals
- Practical experience using AI assistants for troubleshooting, with emphasis on validation and secure handling of sensitive data
- Familiarity with prompting and evaluation practices to reduce hallucinations and ensure reproducibility
- Working knowledge of automation/scripting to integrate AI insights into operations (runbook automation, ticket enrichment) with change-control discipline
- Experience implementing or operating AIOps platforms and integration with incident/ticketing workflows
- Exposure to LLM governance concepts (data classification, access controls, audit logging)
- Experience building operational analytics (Python, SQL) to mine EMS/application logs
- Familiarity with reliability practices (SLOs/SLIs, error budgets, postmortems) and using AI to improve processes
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.
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