Systems Engineer Leadership Role

Translate ideas into engineering solutions

Own end-to-end project delivery

Lead the implementation of new features and enhancements

Design, develop, and maintain front-end apps

Design and maintain cloud infrastructure with AWS/Azure/GCP

Automate provisioning using Terraform

Drive architectural vision for login flow and Auth0 management.

Lead major technical projects across teams.

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.

Design and architect Accounting Platform systems

Mentor engineers and ensure quality standards

Design and develop data pipelines using Python, Spark, Databricks, SQL, and SSIS.

Implement ETL/ELT workflows with Apache Airflow and SSIS.

Analyze threat actor behavior and abuse patterns

Research, prototype, and implement abuse detection techniques

Design, build, and maintain scalable distributed backend systems

Work closely with product and engineering peers to shape product decisions

Develop state-of-the-art voice cloning techniques

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

Design and build scalable backend systems and APIs

Enable audience creation, segmentation, and activation on Twilio's data platform

Design, develop, and maintain Ruby on Rails web apps.

Translate product requirements into scalable technical solutions.

Provide technical leadership on automation-first customer problems

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

Deliver DoD software using Agile methodology

Build applications with Python, FastAPI, and React

Lead database solution direction

Implement scalable database solutions

Analyze threat actor behavior and abuse patterns for detection.

Implement state-of-the-art LLM-driven techniques for abuse prevention.

Developing and maintaining AI model serving infrastructure

Implementing high availability applications on Kubernetes

Design, build, and maintain scalable distributed backend systems

Own backend services end-to-end

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

Analyze threat actor behavior and abuse patterns.

Implement abuse detection techniques.

Act as technical advisor to enterprise customers

Design and implement modern data architectures

Design, build, and maintain scalable distributed backend systems

Own backend services end-to-end

Drive backend engineering

Lead design and implementation of new features

Evolve and maintain foundational Enterprise systems

Collaborate with cross-functional teams

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

Design, implement, and maintain cloud infrastructure using IaC

Improve reliability, security, and scalability of the platform

Lead design and delivery of Java projects

Analyze and optimize engine performance

Design and optimize APIs and data pipelines for real-time analytics at scale.

Build and enhance distributed systems for large-scale indexing, search, and data processing.

Hiring a remote Partner Sales Manager for AWS.

Full-time position in North America.

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

Analyze threat actor behavior and abuse tactics

Design and develop production-ready systems

Design, build, and maintain scalable distributed backend systems

Shape product decisions and contribute to technical discussions

Senior Fullstack Engineer-Enterprise role for building multi-tenant management features and developing frontend with React and TypeScript.

Create admin consoles, backend APIs, and permission management interfaces for enterprise functionality.

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

Design scalable distributed backend systems

Collaborate with product and engineering peers

Develop and implement voice cloning and text to speech solutions.

Prioritize tasks for efficient implementations.

Analyze threat actor behavior & evolving abuse patterns

Implement advanced techniques for abuse detection & prevention

Design, build, and maintain APIs, services, and core systems

Develop core product surfaces: cost intelligence, analytics, auth

Provide senior escalation point for high-priority incidents

Lead investigations and monitoring strategies

Oversee IT services, incident response, and technical escalations

Identify and solve recurring issues

Lead migration of media workloads to AWS

Design scalable, secure, cost-effective infrastructure

Drive the development of cloud tracking solutions

Translate user needs into clear product requirements

Analyze threat actor behavior and evolving abuse patterns.

Develop and implement state-of-the-art techniques for abuse detection.