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 Platforms, 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
- Administer, configure, and support enterprise batch scheduling platforms (CA-7, Control-M, and/or ZEKE) including calendars, workload definitions, dependencies, SLA management, and automation.
- Design and implement batch workload standards, governance, and operational controls (job naming, restart/recovery, notifications, and escalation).
- Build and maintain automation solutions using REXX and/or Python to streamline operations (e.g., dataset management, job orchestration, health checks, reporting, and runbook automation).
- Diagnose and resolve batch failures, performance bottlenecks, and scheduling conflicts; perform root-cause analysis and implement preventative improvements.
- Integrate scheduling and automation with enterprise tooling (monitoring/alerting, ticketing, change management, audit evidence capture).
- Drive mainframe modernization initiatives, including API enablement, workflow standardization, and automation-first operating practices.
- Apply AI-assisted approaches to improve productivity and reliability (e.g., log analysis, anomaly detection, runbook generation, code assistance), while ensuring outputs are validated and compliant with applicable controls.
- Create and maintain high-quality documentation: procedures, automation code, runbooks, architectural diagrams, and knowledge base articles.
- 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.
- Drives thought leadership within the product line.
- 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
- 5+ years of experience in mainframe systems programming and/or mainframe operations engineering in an enterprise environment.
- Hands-on expertise with CA-7, Control-M, and/or ZEKE
- Strong coding/scripting skills in REXX and/or Python (with demonstrated automation deliverables).
- Strong troubleshooting skills across batch execution lifecycle (JCL errors, dataset/space issues, dependency problems, scheduling conflicts, restart/recovery).
- Working knowledge of core mainframe concepts such as JCL, JES, catalogs/datasets, SMP/E concepts, and operational controls.
- Experience with change management, incident/problem management, and on-call support in regulated/controlled environments.
- Excellent communication skills with the ability to translate complex technical issues into clear operational guidance.
- 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)
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
JPMorganChase New York, New York, USA Office
270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
Similar Jobs
.png)
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
