at J.P. Morgan
Bulge Bracket Investment BanksPosted 3 days ago
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**Infrastructure Engineer III at JPMorganChase** ensures data and systems run at scale. Key responsibilities include applying technical expertise to moderate-scope projects, utilizing AI for monitoring and capacity analysis, collaborating with teams to mitigate capacity risks, and driving process improvements. Utilize hands-on experience with DevOps, Jenkins, Kubernetes, SDLC pipelines, Linux (RHEL), Kafka, Elasticsearch, Helm, and monitoring tools like Grafana and Dynatrace. Apply your 3+ years of experience in infrastructure engineering, deployment architecture, and cloud best practices. Leverage enterprise-authorized AI capabilities, validating outputs and handling sensitive data. Preferred: financial services industry experience and cloud certifications.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
Location: Mumbai, Maharashtra, India
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.
- Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
- Hands-on experience in DevOps, with a strong focus on Jenkins, Kubernetes, and SDLC pipelines.
- Proven experience in deployment architecture and cloud best practices.
- Working knowledge of Linux 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.
- Experience in financial services or a related industry.
- Certifications in cloud platforms (e.g., AWS, Azure, Google Cloud).
- Strong communication and collaboration skills
