JP Morgan Chase

Runs a consumer bank and an investment bank

Infrastructure Engineer 3 - Terraform, AWS

Cloud EngineeringConfirmed live in the last 24 hours

Full-timeTampa, FL, USANo salary listedIn-person

About the Job

Requirements

Formal training or certification in infrastructure engineering concepts and at least 3 years of applied experience.
Strong infrastructure-as-code experience using Terraform.
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.
Demonstrated experience using enterprise-authorized AI capabilities in 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, escalate when uncertain, and ensure outcomes align with resiliency, security, and auditability expectations.
Strong knowledge of one or more scripting languages.
Experience with multiple cloud technologies and the ability to operate in and migrate across public and private clouds.

Responsibilities

Centrally manage the Payments SIO FinOps book of work with an AWS-first mandate, partnering with Payments CTO Infrastructure Managers and application teams to deliver measurable optimization outcomes across AWS as the primary focus, on-premises environments (GKP, GAP, VSI, GVP, GOS), and, when relevant, SaaS data platforms (Snowflake, Databricks) as a secondary scope.
Own and maintain a centrally managed FinOps optimization backlog for Payments, including intake, triage, prioritization, and execution tracking; run a repeatable operating cadence from identification through sizing, approval, execution, validation, and value realization, with clear ownership, dependencies, and target dates.
Apply technical knowledge and problem-solving methodologies to projects of moderate scope, improve data and systems running at scale, and ensure end-to-end application monitoring.
Use enterprise-authorized AI capabilities in the work environment to accelerate monitoring, capacity analysis, and documentation; validate outputs and handle operational data according to sensitivity and security requirements.
Drive daily activities supporting standard capacity process applications and partner with application and infrastructure teams to identify potential capacity risks and govern remediation statuses.
Make significant decisions for projects involving multiple technologies and applications.
Use reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, validating changes and aligning them with resiliency and security expectations.

Desired Qualifications

Demonstrated hands-on experience delivering AWS FinOps optimization outcomes in a large-scale enterprise environment, translating usage, spend, and utilization data into executed engineering changes with measurable results.
Proficiency or working knowledge of firmwide infrastructure usage, spend, and utilization tools such as iHub, CloudVision, and ClaroUtil to identify opportunities, produce actionable insights, and track outcomes.
Experience optimizing Snowflake and Databricks consumption and costs, including workload patterns, sizing, scheduling, and governance.

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 an Infrastructure Engineer III at JPMorganChase within the Payments Technology Strategic Initiative Office group, 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

Centrally manage the Payments SIO FinOps book of work with an AWS first mandate, partnering with Payments CTO Infrastructure Managers (IMs) and application teams to deliver measurable optimization outcomes across AWS (primary focus), on-prem (GKP, GAP, VSI, GVP, GOS), and, when relevant, SaaS data platforms (Snowflake, Databricks) as a secondary, good-to-have scope.
Own and maintain a centrally managed FinOps optimization backlog for Payments, including intake, triage, prioritization, and execution tracking, and run a repeatable operating cadence for identification → sizing → approval → execution → validation → value realization with clear ownership, dependencies, and target dates.
Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
Accountable for making significant decisions for a project consisting of multiple technologies and applications
Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Strong infrastructure-as-code (IaC) experience using Terraform
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
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.
Strong knowledge of one or more scripting languages
Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)

Preferred qualifications, capabilities, and skills

Demonstrated hands-on experience delivering AWS FinOps optimization outcomes in a large-scale enterprise environment, translating us age/spend/utilization data into executed engineering changes with measurable results
Proficiency or working knowledge using firmwide infrastructure us age/spend/utilization tooling such as iHub, CloudVision, ClaroUtil to identify opportunities, produce actionable insights, and track outcomes
Desirable experience optimizing Snowflake and Databricks consumption and cost (workload patterns, sizing, scheduling, governance).

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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