Leads infrastructure engineering for software-defined retail branch platforms, modernizing C#/.NET and PowerShell systems into AI-native, agentic platforms. Designs agentic workflows, MCP integrations, cloud infrastructure, and automation; resolves complex systems issues; delivers modernization programs; promotes AI-assisted engineering practices; and ensures resiliency, security, compliance, traceability, and auditability.
Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact.
As a Senior Lead Infrastructure Engineer at JPMorgan Chase within the Corporate Sector – Employee Platforms team, you exhibit both depth and breadth of knowledge across software, applications, and technical processes spanning multiple technical disciplines. You specialize in a specific domain within infrastructure engineering to promote programs and initiatives that integrate multiple technologies and applications. As part of the Branch Technology engineering team, you build software-defined platforms that manage and automate technology across the Retail Branch network. You operate in a small, focused team where engineers work across the stack, own delivery end to end, and work close to the architecture while maintaining a high bar and moving quickly. As an AI-Native Systems Engineer, you are a core member promoting the transition from a traditional C#, .NET, and PowerShell estate to an agentic-first platform. You design and develop agentic workflows, MCP tool integrations, and automation that define the next generation of branch technology, collaborating with experienced engineers under a clear architectural direction. You remain hands-on with the most complex problems and play an influential role in shaping the platform’s evolution. You work AI-native by default, leveraging AI across the full stack to accelerate the path from idea to production. In addition to building agentic systems, you help the team adopt them by establishing practices and patterns that make AI-native development the standard. You engage closely with emerging agentic capabilities on the CDAO Fusion Studio platform and operate with the autonomy required in a lean, high-impact team.
Job responsibilities
As a Senior Lead Infrastructure Engineer at JPMorgan Chase within the Corporate Sector – Employee Platforms team, you exhibit both depth and breadth of knowledge across software, applications, and technical processes spanning multiple technical disciplines. You specialize in a specific domain within infrastructure engineering to promote programs and initiatives that integrate multiple technologies and applications. As part of the Branch Technology engineering team, you build software-defined platforms that manage and automate technology across the Retail Branch network. You operate in a small, focused team where engineers work across the stack, own delivery end to end, and work close to the architecture while maintaining a high bar and moving quickly. As an AI-Native Systems Engineer, you are a core member promoting the transition from a traditional C#, .NET, and PowerShell estate to an agentic-first platform. You design and develop agentic workflows, MCP tool integrations, and automation that define the next generation of branch technology, collaborating with experienced engineers under a clear architectural direction. You remain hands-on with the most complex problems and play an influential role in shaping the platform’s evolution. You work AI-native by default, leveraging AI across the full stack to accelerate the path from idea to production. In addition to building agentic systems, you help the team adopt them by establishing practices and patterns that make AI-native development the standard. You engage closely with emerging agentic capabilities on the CDAO Fusion Studio platform and operate with the autonomy required in a lean, high-impact team.
Job responsibilities
- Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions
- Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
- Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
- Drives results and implements multiple complex programs
- Drives thought leadership within the product line
- Responsible for infrastructure engineering in accordance with business requirements and executes work according to compliance standards, risk and security, and business objectives
- Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
- 7+ years of experience working in software engineering with strong hands-on delivery
- 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.
- Deep knowledge of cloud infrastructure and multiple cloud technologies (ability to operate in and migrate across public and private clouds)
- An AI-native way of working, using AI across the development lifecycle to build faster and broader than a single specialization allows
- Demonstrable experience building agentic or LLM-integrated systems in production
- Working knowledge of multi-agent frameworks such as Google ADK, LangGraph, or AutoGen
- Experience with MCP tool integration or tool-calling API pattern
- Proficiency in Python, with familiarity across C#, .NET, or PowerShell
- Fluency with AI-assisted development tools such as VS Code, GitHub Copilot, or Claude Code
Preferred qualifications, capabilities, and skills
- Experience with CDAO Fusion Studio or Fusion SmartSDK
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
Similar Jobs
Financial Services
Leads enterprise mainframe infrastructure engineering, including batch scheduling administration, workload governance, automation, troubleshooting, and modernization. Builds REXX and Python solutions, integrates scheduling with monitoring and change-management tools, resolves batch failures, and improves operational resiliency. Drives AI-assisted automation practices, documentation, auditability, and thought leadership while supporting cloud migration and hybrid infrastructure initiatives.
Top Skills:
Api EnablementCa-7Control-MJclJesPrivate CloudPublic CloudPythonRexxSmp/EZeke
Financial Services
Leads full-stack software engineering and infrastructure platform development for AI-driven, self-healing data center operations. Designs Java, Python, and Node.js applications, scalable APIs, CI/CD automation, cloud-native platforms, VMware integrations, and infrastructure-as-code workflows. Develops machine learning models for forecasting, anomaly detection, and test classification, integrating them into operational systems for predictive alerts and workload orchestration. Provides technical leadership, mentors engineers, reviews code, and drives firm-wide architecture and technology decisions.
Top Skills:
Ai Model GovernanceAngularAnsibleAWSAzureCi/CdCSSDevOpsDockerExpress.JsGCPGithub ActionsGpt-Based ModelsHibernateHTMLInfrastructure As CodeJavaJavaScriptJenkinsKubernetesMachine LearningMlflowMlopsNode.jsNoSQLPythonRagReactRestful ApisSpring BootSQLTerraformVector DatabasesVmware EsxiVmware VcenterVmware Vsphere
Financial Services
Leads infrastructure engineering for enterprise WAN modernization. Designs, deploys, configures, troubleshoots, and optimizes Cisco and Arista network environments, including routing, switching, connectivity, and data center technologies. Manages network lifecycle documentation, compliance, resiliency, security, and performance. Applies validated AI-assisted engineering practices and may automate deployments using Ansible, Terraform, Puppet, and CI/CD tools.
Top Skills:
AnsibleAristaBashBgpCi/CdCisco AsrCisco RoutersCisco SwitchesCwdmDhcpDnsDwdmEnterprise Ai CapabilitiesEsxiEthernetFiber-Optic CablingFirewallsHyper-VIpv4Ipv6Is-IsIso 27001JavaScriptJSONKvmLoad BalancingMp-BgpMplsOpenshiftOptical Transport NetworksOspfProxiesPuppetPythonRsvp-TeSoc 2Structured CablingSwitch AsicsTcpTerraformUdpVMwareVxlanYaml
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
