Senior Cloud Engineer - GenAI Platform Engineering

Job Description This role is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. The role focuses on delivering complex features and technology, enabling development efficiencies, providing technical thought leadership, and ensuring end-to-end solution design and delivery. Responsibilities Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s) Enables team(s)/applications with CI/CD capabilities and engages with other technical stakeholders pertaining to efficient functioning of the CI-CD pipeline Guides and influences team(s) on design and best practices for high code performance – e.g. pairing, code reviews Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features Works with stakeholders to establish high-level solution needs and with architects for technical requirements Builds and operates the cloud infrastructure layer for the GenAI platform across AWS, Azure, and GCP, enabling secure and scalable deployment of agent-based applications, APIs, and model-serving workloads. Designs, implements, and manages containerized environments (Kubernetes and managed services such as EKS, AKS, GKE) Develops and maintains scalable deployment and release pipelines Engineers highly scalable cloud architectures Required Qualifications 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles Strong hands‑on experience with: AWS, Azure, and/or GCP (multi‑cloud experience preferred) Container platforms (Kubernetes, EKS, AKS, GKE) Infrastructure-as-code and CI/CD pipelines Proven experience designing and operating: Highly scalable distributed systems Containerized workloads in production cloud environments Expertise in: Scaling strategies (autoscaling, load balancing, horizontal scaling) Performance tuning and system optimization Cloud-native architectures and microservices Experience with: Observability tools (metrics, logging, distributed tracing) Reliability engineering (high availability, fault tolerance, disaster recovery) Desired Qualifications Experience supporting AI/ML or GenAI workloads, including: Model inference endpoints and API gateways High-throughput, low-latency serving systems Familiarity with: Vector databases, data pipelines, or retrieval-based architectures Scaling patterns for compute-intensive workloads Experience in: Regulated enterprise environments (financial services preferred) Shared, multi‑tenant platform environments supporting multiple teams Skills Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Application Development Architecture Business Acumen Risk Management Solution Design Agile Practices Analytical Thinking Collaboration Data Management Solution Delivery Process Minimum Education Requirements: Bachelor Degree or Equivalent Professional Experience Shift: 1st shift (United States of America) Hours Per Week: 40 Pay and Benefits Location: US - NY - New York, 1100 Ave Of The Americas, Two Bryant Park (NY1540) Pay range: $122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive: Eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group, and the overall success of the Company. Benefits: Currently benefits eligible. Provides industry-leading benefits, access to paid time off, resources and support to employees so they can make a genuine impact and contribute to sustainable growth. #J-18808-Ljbffr