Job Description
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 Infrastructure Engineer at JPMorgan Chase within the Infrastructure Platforms team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.
Job Responsibilities
- pplies technical expertise and problem-solving methodologies to projects of moderate scope; contributes to the NDSS platform strategy, roadmap, and lifecycle management.
- Governs and maintains network device security standards and baseline controls.
- Oversees creation, approval, and lifecycle of device security templates and policies.
- Ensures integration with compliance and findings platforms (e.g., FARM) for audit reporting.
- Drives continuous compliance monitoring, reporting, and remediation workflows.
- Leads cross-functional coordination with engineering, operations, and risk/control teams.
- Ensures audit readiness with full traceability from standards through enforcement to reporting.
- Drives automation and scale across configuration enforcement and policy validation; leads transformation initiatives to improve efficiency, security posture, and risk reduction.
- Defines and tracks key performance and compliance metrics across the NDSS platform.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on infrastructure disciplines concepts and 5+ years applied experience.
- Strong expertise in network security controls (AAA, access control, encryption, SNMPv3, etc.).
- Experience writing Ansible playbooks and relevant years of software development (Python).
- Demonstrated knowledge of data parsing and analysis, including regular expression parsing.
- Hands-on experience with configuration management and automation tooling.
- Deep understanding of security compliance frameworks and audit processes.
- Experience with compliance reporting and findings management systems.
- Demonstrated ability to operate in highly regulated environments (e.g., financial services); strong cross-functional collaboration and communication skills.
- Proven ability to manage multiple priorities and deliver in a fast-paced environment.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred Qualifications, Capabilities, And Skills
- Obtain relevant certifications (e.g., CISSP, CISM, CCNP/CCIE).
- Apply experience operating within financial services or other highly regulated industries.
- Demonstrate advanced automation expertise across configuration enforcement and policy validation.
