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 Commercial & Investment Bank Payments Technology team, 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 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.
- Resolves most nuances and determines appropriate escalation path
- Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
- 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
- Hands-onexperience in DevOps, with a strong focus on Jenkins, Kubernetes, and SDLC pipelines.
- Proven experience in deployment architecture and cloud best practices.
- Working knowledge ofLinux systems (preferably RHEL), including strong command-line skills for day-to-day engineering and troubleshooting.
- Experience with managing EOL components and driving process improvements.
- Proficient in Git branch management and infrastructure security. Knowledge of setting up and managing Kafka and Elasticsearch, including their resiliency.
- Experience with Helm for Kubernetes package management.
- Experience with monitoring and observability tools like Grafana, Dynatrace, Splunk, DataDog, etc
- 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.
Preferred qualifications, capabilities, and skills
- Experience in financial services or a related industry.
- Certifications in cloud platforms (e.g., AWS, Azure, Google Cloud).
- Strong communication and collaboration skills
