Infrastructure Engineer III - MDS

JP Morgan Chase; Jersey City (NJ); On-site; USD 150,000 - 170,000; Full time

Job summary

JPMorganChase seeks an MDS Infrastructure Engineer III to strengthen our data-driven infrastructure. You will apply python-driven automation and operate in Linux/Unix environments, engaging across cloud platforms and on-premise systems.

The role focuses on reliable, scalable data infrastructure and key monitoring practices. Collaborating with cross-functional teams, you will diagnose complex issues, drive improvements, and help ensure performance and resilience across critical financial

Qualifications

• Formal training or certification on infrastructure engineering concepts with 3+ years of applied experience.
• Strong Python scripting and automation capabilities.
• Proficiency in Linux/Unix environments.
• Understanding of networking fundamentals including TCP/IP, multicast, and latency.
• Experience supporting technical systems or applications in a production environment.
• Understanding of data workflows, data pipelines, or data distribution systems.
• Ability to troubleshoot technical issues using diagnostic tools and methodologies.
• Knowledge across infrastructure disciplines such as hardware, networking, databases, storage, deployment, automation, and resilience.

Responsibilities

• Applies technical knowledge to projects of moderate scope with a focus on data and systems running at scale; ensures end-to-end monitoring of applications.
• Resolves most issues and defines escalation paths.
• Executes standard approaches to analyze and solve infrastructure problems.
• Tests infrastructure performance and verifies that requirements are met.
• Drives delivery by collecting and analyzing monitoring data and guiding completion.
• Partners with application and infrastructure teams to identify capacity risks and remediation needs.
• Supports daily activities of capacity planning processes for applications.
• Accounts for upstream/downstream data and system implications.
• Makes significant decisions on multi-technology projects.

Skills

Python

Linux/Unix

Networking (TCP/IP)

Production systems

Data pipelines

Troubleshooting

Cloud technologies

Education

Infrastructure certifications

Tools

ITRS Geneos

IDP

AMPS

Job description

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As a MDS Infrastructure Engineer III at JPMorganChase within the Commercial and Investment Banking, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.

Job Responsibilities

• Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
• Resolves most nuances and determines appropriate escalation path
• Executes conventional approaches to build or break down technical problems
• Applies technical knowledge to assignments with a defined scope such as testing the performance of the infrastructure and understanding and verifying that requirements were successfully met
• Drives results, collects and analyzes monitoring data in test and production, and sees assignments through to completion
• Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
• Drives the daily activities supporting the standard capacity process applications
• Considers upstream/downstream data and systems or technical implications
• Be accountable for making significant decisions for a project consisting of multiple technologies and applications
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
• Strong knowledge and experience with **Python** scripting and automation
• Proficiency in Linux/Unix environments
• Understanding of networking fundamentals including TCP/IP, multicast, and latency concepts
• Experience supporting technical systems or applications in a production environment
• Understanding of data workflows, data pipelines, or data distribution systems
• Ability to troubleshoot technical issues using diagnostic tools and methodologies
• Strong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments
• Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds
• Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge

Preferred Qualifications, Capabilities, and Skills

• Knowledge of market data symbology, identifiers, reference data, and conventions such as futures rolls and corporate actions
• Experience with market data distribution platforms (e.g., IDP, AMPS, AAAS, RMDS/TREP, Bloomberg BPIPE/MFA, Refinitiv Data Feeds, Solace) and direct exchange connectivity/feeds, including DACS entitlements
• Exposure to trading or front-office support environments
• Knowledge of monitoring and forensic tools such as ITRS Geneos
• Strong knowledge of one or more infrastructure disciplines such as hardware, networking, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments
• Experience with multiple cloud technologies, including the ability to operate in and migrate across public and private clouds
• A drive to continuously develop infrastructure engineering knowledge, data fluency, and automation skills