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Infrastructure Engineer III - Terraform, AWS

Tampa, United States of AmericaFull-timeMid · 3+ yearsCloud Engineer

What you'll do

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.

What they're looking for

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)

Nice to have

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).

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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).

BFSI

Company

JPMorgan ChaseBFSI

Tampa, United States of America

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