Senior Lead Infra Engineer: Cloud, AI & Market Data Ops

JPMorganChase; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Job summary

JPMorganChase in Jersey City seeks a Senior Lead Infrastructure Engineer to drive large-scale, data-centric platforms across cloud and on‑prem environments. You will mentor engineers, shape strategy for market data infrastructure, and lead AI-powered initiatives to improve reliability, performance, and security while aligning with policy and risk controls.

Responsibilities span architecture, incident leadership, and delivering resilient infrastructure that supports strategic business programs

Qualifications

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience.
• Knowledge of infrastructure areas such as hardware, networking, databases, storage, deployment practices, automation, scaling, resilience or performance assessments.
• Experience using enterprise-authorized AI capabilities to support infrastructure workflows with validation.
• Ability to review AI recommendations before implementation, ensuring resiliency, security, and auditability.
• Proficiency in specific infrastructure technology and programming languages.
• Deep knowledge of cloud infrastructure across public and private clouds.
• Advanced Python automation with Linux/Unix proficiency for large-scale performance tuning.
• Strong low-latency fundamentals including TCP/IP, multicast and latency optimization.
• Expert troubleshooting and incident leadership for mission-critical platforms.
• Broad hands-on infrastructure depth across hardware, networking, storage, deployment/integration, automation, scaling, resilience, and performance assessment.

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.
• Lead the design, architecture, and delivery of large-scale market data infrastructure across multiple technologies, applications, and business lines, making and owning high-impact architectural decisions with firm-wide reach.
• Own end‑to‑end production health for critical platforms (reliability, performance, capacity, resilience), defining the monitoring/observability approach and proactively identifying and mitigating upstream/downstream risks across dependencies.
• Drive the strategy and roadmap for market data distribution, automation, and cloud migration—balancing near‑term execution with long‑term platform sustainability, scalability, and cost efficiency through modern engineering practices.
• Provide senior technical leadership by mentoring engineers, setting engineering standards, maturing deployment/capacity/incident processes, leading RCA/forensics, and partnering with senior stakeholders to govern remediation through completion while fostering an inclusive, high‑performing team culture.

Skills

Infrastructure concepts

Cloud platforms

Python automation

Linux/Unix

Networking basics

AI-assisted workflows

Incident leadership

Tools

IDP

AMPS

AAAS

RMDS

Bloomberg BPIPE

Refinitiv Data Feeds

Solace

Job description

JPMorganChase in Jersey City seeks a Senior Lead Infrastructure Engineer to drive large-scale, data-centric platforms across cloud and on‑prem environments. You will mentor engineers, shape strategy for market data infrastructure, and lead AI-powered initiatives to improve reliability, performance, and security while aligning with policy and risk controls.

Responsibilities span architecture, incident leadership, and delivering resilient infrastructure that supports strategic business programs