Infrastructure Engineer III - Site Reliability

Testing Site - JPMC; Plano (TX); Presencial; USD 110 000 - 160 000; Tempo integral

Resumo da oferta

JPMorgan Chase & Co. is seeking an Infrastructure Engineer III to support critical data and systems within the CTC.

You will apply your technical knowledge across multiple applications of moderate scope and help ensure end-to-end monitoring and reliability across the platform. The role emphasizes collaboration with application and infrastructure teams, capacity planning, and driving improvements in automation and cloud migration.

Qualificações

• Experience in supporting products and infrastructure.
• Knowledge of hardware, networking, storage, deployment, automation and performance.
• Proficiency in scripting, preferably Python.
• Strong verbal and written communication; ability to drive meetings.

Responsabilidades

• Apply technical knowledge to projects of moderate scope with end-to-end monitoring.
• Resolve nuances and escalate when needed.
• Support capacity processes and monitor data and systems at scale.
• Collaborate with application and infrastructure teams to address risks.

Conhecimentos

Infrastructure know-how

Scripting (Python)

Cloud platforms

Communication

Automation

Observability

Data awareness

Ferramentas

Jira

Confluence

ServiceNow

Netcool

Terraform

CI/CD

Github

Descrição da oferta de emprego

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 JPMorgan Chase within the CTC, youutilize 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
• Drives the daily activities supporting the standard capacity process applications
• Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
• Considers upstream/downstream data and systems or technical implications
• Accountable for making significant decisions for a project consisting of multiple technologies and applications
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Obtain 3 plus years of experience working on support of products / infrastructure
• 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
• Strong knowledge of one or more scripting languages (e.g., Scripting, Python, etc.)
• Strong communications skills, verbal, written, ability to drive meetings and knowledge sharing sessions to teams
• 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
• Knowledge and hands on experience with tools like (Jira, Confluence, ServiceNow, Netcool)

Preferred qualifications, capabilities, and skills

• Hands on experience with AWS / Azure / GCP or other cloud environments
• Hands on experience with Terraform or other infrastructure as code technologies
• Hands on experience with CI/CD pipelines
• Hands on experience with Github and code reviews
• Hands on experience with DevOps using Python, scripting for automation
• Knowledge of Observability tools like (Grafana, Dynatrace, Apica, Splunk, etc)
• Cloud certifications on AWS / Azure / GCP
• Knowledge of Sight Reliability Engineering best practices