Lead Software Engineer - Infrastructure (HPE NonStop/Tandem) with AI/Automation
JPMorgan ChaseResponsibilities
- Configure, maintain, troubleshoot, and upgrade HPE NonStop hardware and architecture for payment infrastructure deployments.
- Manage Enterprise Secure Key Managers and associated secure key solutions.
- Configure and maintain Etinet servers and their integration with HPE NonStop systems.
- Support HPE NonStop subsystems including Mediacom, TMF, and KMSF, including troubleshooting and upgrade or installation planning.
- Use SCF, ZZSTO, ZZZCIP, and ZZKRN utilities for system configuration, monitoring, and maintenance.
- Apply enterprise-authorized AI capabilities and AIOps techniques to infrastructure analysis, incident triage, anomaly detection, event correlation, and risk detection.
- Validate AI-assisted recommendations and ensure changes meet resiliency, security, traceability, auditability, and data-sensitivity requirements.
- Analyze telemetry including logs, metrics, and traces, and operationalize signals for automation and reliability outcomes.
- Build runbooks, knowledge-base articles, and known-error records for accurate and auditable troubleshooting guidance.
- Partner with SRE/Observability and Cyber teams to implement and govern AI-enabled monitoring and alerting.
- Document configurations, procedures, and troubleshooting steps and collaborate on system upgrades and installations.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- In-depth hands-on knowledge of HPE NonStop hardware, architecture, configuration, and maintenance.
- Experience configuring and managing Enterprise Secure Key Managers in enterprise environments.
- Proficiency configuring Etinet servers and integrating them with HPE NonStop systems.
- Strong understanding of Mediacom, TMF, and KMSF and their interaction with HPE NonStop hardware.
- Hands-on experience with SCF, ZZSTO, ZZZCIP, and ZZKRN utilities.
- Experience using authorized AI capabilities in infrastructure engineering workflows, with strong validation practices and awareness of data sensitivity.
- Experience applying AIOps or ML-driven monitoring concepts in production infrastructure environments.
- Ability to work with logs, metrics, traces, telemetry pipelines, and data quality expectations.
- Practical experience using AI assistants for troubleshooting and documentation with secure handling of sensitive data.
- Preferred experience operating AIOps platforms and integrating them with incident or ticketing workflows.
- Preferred familiarity with enterprise LLM governance, including data classification, access controls, audit logging, and model risk considerations.
- Preferred experience using Python or SQL for operational analytics on EMS or application logs.
- Preferred familiarity with SLOs, SLIs, error budgets, blameless postmortems, and AI-supported reliability practices.
Benefits
- Competitive total rewards and benefits package, with eligibility-based health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may receive commission-based pay or discretionary incentive compensation, including cash or forfeitable equity.
- Equal opportunity employer with reasonable accommodations for religious practices, mental health needs, and physical disabilities.
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.