Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. 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. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.
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.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
- 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).
- 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.
- Document configurations, procedures, and troubleshooting steps for knowledge sharing and compliance, collaborate with cross-functional teams to plan and execute system upgrades and installations.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 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.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- 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.
Preferred qualifications, capabilities, and skills
- 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.
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 software engineering concepts
- 5+ years of applied experience
- In-depth knowledge of HPE NonStop hardware and architecture, including system configuration and maintenance
- Experience configuring and managing Enterprise Secure Key Managers in an enterprise environment
- Proficiency configuring Etinet servers and integrating them with HPE NonStop systems
- Strong understanding of HPE NonStop subsystems, including Mediacom, TMF, and KMSF, and their interaction with hardware
- Hands-on experience using SCF, ZZSTO, ZZZCIP, and ZZKRN for system configuration and management
- Experience using enterprise-authorized AI capabilities for infrastructure engineering workflows, with validation and data-sensitivity awareness
- Ability to review and validate AI-assisted recommendations before implementation
- Experience applying AIOps or machine-learning-driven monitoring concepts in a production infrastructure environment
- Ability to work with telemetry pipelines involving logs, metrics, and traces; define data quality expectations; and operationalize reliability signals
- Practical experience using AI assistants for troubleshooting and documentation with secure handling of sensitive data and audit-ready outputs
- Experience implementing or operating AIOps platforms and integrating them with incident or ticketing workflows
- Exposure to enterprise LLM governance concepts, including data classification, access controls, audit logging, and model risk considerations
- Experience building operational analytics using Python or SQL to analyze EMS or application logs
- Familiarity with SLOs, SLIs, error budgets, blameless postmortems, and applying AI to improve reliability 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.
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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