Bulge Bracket Investment Banks

Posted 8 days ago

No clicks

**Lead Infrastructure Engineer – Risk & BI Platforms, AI-Champion** /// Hyderabad, India - Manage availability and resiliency for BI platforms (Tableau, IBM Cognos, SAP BusinessObjects, etc.) - Reduce operational issues via automation and AI workflows, ensuring firmwide control compliance - Collaborate with cross-functional teams for platform stability and lifecycle management - Bring 8+ years' experience in SRE, DevOps, or similar roles, with strong proficiency in Python, Bash, PowerShell, or Go - Proficient in CI/CD (Jenkins, Spinnaker), Infrastructure as Code (Terraform, Ansible), and cloud platforms (AWS, Azure, GCP) - Hands-on experience with monitoring tools (Dynatrace, Splunk, Grafana), secrets management, and security best practices - Experience applying AI-assisted tools in engineering and supporting infrastructure platforms for BI tools preferred

Compensation: Not specified
City: Not specified
Country: India

Full Job Description

Location: Hyderabad, Telangana, India

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

Explore 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

Bachelors 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

Experience with secrets management, least-privilege access, and security best practices

Demonstrated experience applying AI-assisted tools in engineering or operations to improve productivity

Hands-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 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

Lead automation and risk oversight for intelligence platforms, driving resiliency and audit-ready compliance.

Full Job Description