Leads infrastructure engineering initiatives across cloud, mainframe, and midrange environments. Designs and maintains secure, production-grade agentic AI solutions for infrastructure automation, validates AI-assisted recommendations, and ensures resiliency, auditability, compliance, and operational excellence. Partners with SRE, operations, architecture, risk, and control teams; evaluates tools and vendors; modernizes processes; and mentors engineers through technical reviews and coaching.
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 JPMorganChase within the Infrastructure Platform Data & Specialty Services team, you exhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.
Job responsibilities
As a Senior Lead Infrastructure Engineer at JPMorganChase within the Infrastructure Platform Data & Specialty Services team, you exhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.
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
- Architect, build, and maintain agentic AI solutions that automate manual or repetitive infrastructure management tasks, ensuring solutions are secure, auditable, and production-grade
- Contribute to tooling strategy and vendor/product evaluations by prototyping, performing technical due diligence, and recommending fit-for-purpose approaches for Mainframe/Midrange automation
- Partner with operations, SRE, architecture, risk, and control functions to ensure AI capabilities are implemented safely, transparently, and in alignment with JPMorgan Chase policies and regulatory expectations
- Mentor engineers through pairing, code/design reviews, and technical coaching; help build sustainable technical leadership depth within the organization
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
- Knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or performance assessments
- 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.
- Adept in specific infrastructure technology and programming languages
- Deep knowledge of cloud infrastructure and multiple cloud technologies (ability to operate in and migrate across public and private clouds)
- Experience designing and delivering production solutions with strong non-functional requirements (resiliency, scalability, performance, security, and operational excellence).
- Working knowledge of risk and control considerations in enterprise technology (e.g., SDLC controls, change management, access controls, auditability, data handling).
- Proven ability to lead technical delivery in a matrixed organization: influencing partners, unblocking execution, and driving outcomes across multiple teams/functions.
- Strong engineering fundamentals: API/service design, distributed systems concepts, data modeling, testing strategy, CI/CD, and observability (logs/metrics/traces).
- Experience mentoring and guiding other engineers via code reviews, design reviews, and technical feedback
Preferred qualifications, capabilities, and skills
- Knowledge of Mainframe and Midrange automation, operational tooling, and platform management practices
- Exposure to agentic AI patterns and controls (human-in-the-loop design, guardrails, prompt/tool governance, evaluation/monitoring) in production contexts
- Track record partnering with SRE and operations teams on reliability engineering and operational efficiency improvements (e.g., toil reduction, incident automation, runbook modernization)
- Experience building integrations across heterogeneous infrastructure ecosystems (e.g., job schedulers, monitoring/alerting, ticketing workflows, configuration systems)
- Experience in financial services or similarly regulated industries, with understanding of governance, controls, and audit expectations
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
Cloud • Information Technology • Machine Learning
Manage compliance for tax credits, abatements, and economic development incentives across multiple jurisdictions. Prepare filings, certifications, and reports; monitor job, wage, and investment requirements; maintain compliance records and calendars; support audits and agency inquiries; identify risks; and develop policies and procedures. Partner with Tax, Finance, Accounting, Operations, Treasury, and external advisors to preserve incentive value and minimize clawbacks and penalties.
Top Skills:
Excel
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Architect and deliver advanced HBM interface IP and subsystems from definition through RTL, verification, tape-out, silicon bring-up, and post-silicon debug. Lead analog, mixed-signal, and digital interface design for HBM, CPO, chiplet, and heterogeneous systems. Balance performance, power, area, reliability, signal integrity, and manufacturability while coordinating multidisciplinary teams, customers, foundries, and ecosystem partners. Mentor engineers and drive technical strategy, execution plans, standards alignment, and next-generation memory-interface innovation.
Top Skills:
2.5D Packaging3D PackagingAnalog And Mixed-Signal DesignAsicChipletsCpoDdrDfiDramFastspiceHbmHbm PhyHigh-Speed PhyHspiceHybrid BondingInterposersJedecLpddrMicrobumpsOifRtlSerdesSilicon PhotonicsSocStatic Timing AnalysisSynthesisSystemverilogThrough-Silicon ViasUcieVerilog
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead system-level signal and power integrity engineering for next-generation HBM products. Responsibilities include channel analysis for 2.5D and 3D interposers, power delivery architecture, electromagnetic modeling across PCB, package, and interposer designs, and establishing SI/PI standards and sign-off criteria. The role provides technical direction across complex designs and requires expertise in electromagnetics, transmission lines, I/O design, EDA tools, and automation scripting.
Top Skills:
2.5D/3D Silicon InterposersAnsysCadenceDdrElectromagnetic ExtractionHbmKeysightPower Delivery Networks (Pdn)Power Integrity (Pi)PythonSerdesSignal Integrity (Si)SynopsysTclUcie
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
