Lead Redis Platform Engineer

About the role

Wells Fargo is seeking a Lead Platform Engineer for Redis Platform & AI Enablement to help design, build, and evolve the enterprise Redis platform while advancing AI-driven platform engineering capabilities. This role is responsible for establishing platform standards, driving automation, self-service, intelligent operations, and AI-enabled solutions that improve scalability, reliability, security, and operational efficiency across Redis deployments on both virtualized and OpenShift-based environments. The engineer will partner with infrastructure, architecture, security, risk, and application teams to modernize the platform and establish foundational capabilities that support enterprise adoption, AI use cases, and next-generation platform services.

Responsibilities

• Lead complex initiatives to develop and enhance Redis platform infrastructure supporting enterprise business applications and AI-powered workloads.
• Design, build, deploy, and maintain Redis platform solutions across virtualized and containerized environments.
• Define and implement platform architecture, engineering standards, and operational best practices.
• Develop AI-assisted automation frameworks and self-service capabilities for Redis provisioning, configuration management, upgrades, and lifecycle management.
• Evaluate emerging AI, machine learning, vector database, semantic search, and Redis AI capabilities to support future platform strategy.
• Design intelligent operational workflows that leverage AI to improve incident response, troubleshooting, capacity planning, and operational efficiency.
• Review and analyze significant platform incidents and outages to identify root causes and implement preventive and predictive remediation capabilities.
• Design and develop APIs, workflows, and automation solutions supporting Redis platform operations and developer self-service.
• Establish observability, monitoring, alerting, capacity planning, and performance engineering practices using AI-driven insights where appropriate.
• Collaborate with architecture, security, risk, compliance, and infrastructure teams to implement enterprise controls and governance requirements.
• Support disaster recovery, resiliency testing, and business continuity initiatives.
• Make technical design decisions, identify risks, and contribute to implementation plans for strategic platform initiatives.
• Drive the adoption of Agile engineering practices, infrastructure-as-code principles, DevSecOps methodologies, and AI-assisted software engineering capabilities.
• Collaborate with peers, engineers, architects, business partners, and vendors to resolve issues and achieve platform objectives.
• Provide technical leadership and mentorship across engineering and operations teams supporting Redis platform services.

Requirements

• 5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, or education.
• 5+ years of experience supporting distributed infrastructure, database, middleware, caching, or platform engineering technologies.
• Experience with automation, infrastructure provisioning, configuration management, and operational tooling.
• Experience with Linux systems administration and enterprise infrastructure platforms.
• Experience troubleshooting and resolving complex production issues in high-availability environments.
• Experience with monitoring, observability, and operational support practices.
• Experience developing automation or platform solutions using modern programming and scripting languages.

Qualifications

• Redis Enterprise administration, engineering, or architecture experience.
• Experience with AI platform technologies, generative AI solutions, vector databases.
• Experience designing or supporting AI-enabled operational workflows.
• Experience with Redis Search, Redis Vector Similarity Search, RedisJSON, and AI-related Redis capabilities.
• Experience with OpenShift, Kubernetes, or cloud-native platform technologies.
• Experience developing automation using Java, Python, Ansible, Terraform, or similar technologies.
• Experience building and supporting self-service platform capabilities and APIs.
• Knowledge of infrastructure-as-code, Platform Engineering, Site Reliability Engineering (SRE), and DevSecOps principles.
• Experience with Prometheus, Grafana, Splunk, OpenTelemetry, or similar observability platforms.
• Experience integrating operational workflows with ServiceNow and enterprise automation platforms.
• Understanding of high availability, disaster recovery, resiliency, and distributed systems design patterns.
• Experience with capacity planning, performance tuning, and operational readiness practices.
• Strong collaboration, technical leadership, and stakeholder management skills.
• Experience supporting enterprise-scale caching, distributed data platforms, database technologies, or AI workloads.

Pay

$119,000.00 – $224,000.00 base pay range; actual pay may vary based on demonstrated performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement