Security Engineer: Cloud & App

Develop and deploy AI models

Create low-latency text-to-speech solutions

Lead AI product strategy for marketing platform

Design AI experiences for marketers

Build and run anomaly detection rules using Python

Secure GCP cloud networking and Kubernetes

Contribute to cutting-edge voice cloning and text-to-speech technologies.

Utilize backend development skills in Python for efficient applications.

Lead AI product strategy and architecture

Design AI solutions for performance marketing

Develop low latency and cost-effective voice cloning and text to speech using AI models.

Prioritize tasks based on urgency and impact for efficient implementation.

Architect scalable automated test frameworks using Python and Bash

Build dynamic test environments on cloud platforms with Ansible and Terraform

Develop AI model serving infrastructure

Collaborate for successful deployment

Support infrastructural growth across Cloud and On-Premises

Ensure uptime on services, processes, and infrastructure across sites

Design and maintain cloud infrastructure with AWS/Azure/GCP

Automate provisioning using Terraform

Act as a customer's technical advocate and extend their team.

Implement Fastly products post-sales and document configurations.

Own and evolve the compute platform to support all workloads.

Hire exceptional engineers and invest in their growth.

Define infrastructure architecture and address technical challenges.

Lead complex initiatives across multiple teams.

Develop state-of-the-art voice cloning techniques

Implement low latency and cost-effective text-to-speech solutions

Provide technical leadership on automation-first customer problems

Bridge customer operations, AI, and platform teams for scalable solutions

Lead database solution direction

Implement scalable database solutions

Developing and maintaining AI model serving infrastructure

Implementing high availability applications on Kubernetes

Lead AI product strategy for an intelligent orchestration platform

Design AI experiences for marketer-first platforms

Analyze customer datasets for insights

Explain model performance and risk policies

Own critical infrastructure supporting engineering teams

Design, deploy, and operate Kubernetes platforms

Develop and deploy AI models efficiently

Prioritize tasks based on urgency and impact

Act as technical advisor to enterprise customers

Design and implement modern data architectures

Lead data science and ML initiatives

Build and lead a team for predictive modeling and experimentation

Build a cloud-native network stack for Airbnb services

Collaborate with open-source communities like CNCF and Istio

Provide senior technical advisory for enterprise customers

Design and implement modern data architectures

Revolutionizing AI model serving with voice cloning and text-to-speech

Developing low latency and cost-effective text-to-speech solutions

Lead AI strategy and design for marketing

Architect AI solutions for B2B marketing

Monitor and improve reliability of production AI systems

Identify, diagnose, and fix issues across apps, integrations, and cloud

Build and manage AI tooling stack and system infra for Field Engineering

Set standards for AI-driven development and scale capabilities

Act as a senior technical advisor to enterprise customers

Design and implement modern data architectures

Develop and implement voice cloning and text to speech solutions.

Prioritize tasks for efficient implementations.

Develop and deploy AI models for voice cloning

Implement cost-effective text-to-speech systems

Guide enterprise customers in implementing modern data architectures

Develop custom solutions powered by Starburst

Lead AI product strategy and design experiences

Shape product vision for B2B marketing

Design, build, and maintain ML backend services

Integrate ML models via APIs for production reliability

Plan and execute red team operations

Perform threat modeling for new and existing services

Act as senior technical advisor to strategic enterprise customers

Build and implement modern data architectures

Develop efficient backend solutions for AI model serving

Utilize cloud services such as GCP, AWS, and Azure

Architect and train teacher-student models for multimodal data

Develop RL-based data discovery and reasoning workflows

Drive end-to-end delivery of large-scale technical initiatives.

Translate business goals into detailed technical requirements.

Designing and implementing teacher-student models

Building RL-based data-discovery policies

Architect and train teacher-student models for multimodal data

Build RL-based data discovery and scale RL training

Provide expert guidance on modern data architectures and cloud platforms

Translate technical value into business impact for enterprise customers

Define security strategy for cloud infrastructure

Architect and implement security automation

Manage POA&M lifecycle with assessors and stakeholders

Collect and maintain security evidence for compliance reviews

Lead and develop a team of engineers

Coach, mentor, and provide career development feedback

Develop and maintain AI model serving infrastructure

Optimize systems for low latency and cost-effectiveness

Lead technical implementation & optimization of Altimate AI platform

Translate customer needs into technical requirements

Enable analytics for decision-making and data product development for the Client Coverage Group.

Translate data into strategy by analyzing client behavior and revenue.

Design scalable microservices-based systems

Build and maintain backend and frontend components