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

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 standardizationPartner 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 hygieneBuild 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 runbooksExplore and implement AI-driven solutions for anomaly detection, log analysis, incident correlation, and predictive alerting Evaluate and integrate AI-assisted tools into workflows with appropriate controls and human-in-the-loop review 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 AnsibleStrong experience with monitoring and observability tools such as Dynatrace, Splunk, Grafana, or Datadog Experience with cloud platforms including AWS, Azure, or GCP Experience with secrets management, least-privilege access, and security best practices Demonstrated experience applying AI-assisted tools in engineering or operations to improve productivityHands-on experience supporting infrastructure platform and SRE for BI tools such as SAP BusinessObjects, ThoughtSpot, Tableau, Qlik Sense, and IBM Cognos Hands-on experience with ServiceNow and/or JIRA for incident, problem, and change workflows Preferred Qualifications, Capabilities And SkillsExperience 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 scaleABOUT US