Job Description

Join us to modernize business intelligence platform operations with automation and AI-driven solutions, advancing your career in a high-impact engineering role. You will help shape resilient, compliant, and innovative technology environments.

As a Lead Infrastructure Engineer at JPMorganChase within the Chief Technology Office team, you will own availability and resiliency outcomes for a portfolio of on-premises and SaaS applications, focusing on business intelligence platforms. You will proactively reduce operational breaks through automation and AI-enabled workflows, ensuring audit-ready compliance with firmwide controls and standards. You will collaborate with engineering, infrastructure, security, and vendor teams to deliver platform stability and lifecycle management. You will help maintain a culture of operational excellence and risk stewardship.

Job Responsibilities

Own stability, performance, lifecycle, and operational readiness for assigned platforms and services across on-premises and SaaS environments
Lead incident triage, root cause analysis, corrective actions, and prevention of repeat issues through automation and standardization
Partner with engineering, infrastructure, security, and vendor teams to manage upgrades, patching, certificates, integrations, and connectivity
Provide hands-on platform support and engineering for BI tools such as Tableau, IBM Cognos, SAP BusinessObjects, ThoughtSpot, and Qlik Sense
Engineer and operate platform components including capacity/scaling, authentication integrations, certificate management, tech upgrades, monitoring/alerting, and environment hygiene
Build and maintain Infrastructure as Code and automation for provisioning, configuration, compliance checks, health checks, self-healing, and reporting
Implement and evolve CI/CD and operational pipelines to improve speed and safety of changes
Improve observability via metrics, logs, traces, meaningful SLOs/SLIs, alert quality, and runbooks
Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.

Required Qualifications, Capabilities And Skills

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
8+ years in site reliability engineering, DevOps, platform engineering, infrastructure automation, or production engineering roles
Strong proficiency in Python, Bash, PowerShell, or Go
Hands-on experience with CI/CD tools such as Jenkins, Spinnaker, or GitLab CI
Hands-on experience with Infrastructure as Code tools such as Terraform and Ansible
Strong experience with monitoring and observability tools such as Dynatrace, Splunk, Grafana, or Datadog
Experience with cloud platforms including AWS, Azure, or GCP
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 with secrets management, least-privilege access, and security best practices
Hands-on experience supporting infrastructure platform and SRE for BI tools such as SAP BusinessObjects, ThoughtSpot, Tableau, Qlik Sense, and IBM Cognos

Preferred Qualifications, Capabilities And Skills

Experience with Snowflake, Databricks, or other cloud data platforms
Knowledge of SDLC processes, Agile/Scrum methodologies, and change management
Experience with enterprise schedulers such as Autosys, Control-M, or similar
Experience with chaos engineering, resiliency patterns, or reliability engineering practices at scale

ABOUT US

Lead Infrastructure Engineer - Risk & BI Platforms, AI-Champion