Remote work at dream companies: Netflix, Airbnb, OpenAI, and others have opened job vacancies

Senior Software Engineer, App Foundation at Airbnb
The team responsible for this role oversees the foundational architecture and platform components underlying all Airbnb products. The position involves developing and scaling core services, building robust APIs, and improving system performance to ensure stable app operation. It requires participation in architectural decisions, working with distributed systems, and influencing the platform's technical standards. The role demands backend development experience, a deep understanding of system design, and the ability to solve complex infrastructure challenges.

Data Center Hardware Specialist II at Google
This role involves managing projects for the implementation and support of high-performance computing clusters and infrastructure for Google Cloud customers. Responsibilities include coordinating between clients, engineering teams, and operations divisions, maintaining server clusters and hardware for AI/ML and critical workloads. The position requires experience with infrastructure, system administration, and deployment projects for accelerated computing hardware, knowledge of networking solutions, and skills in communicating with technical and business stakeholders.

AI Deployment Engineer at OpenAI
The primary responsibility is to provide expert guidance, participate in the collaborative development of innovative ecosystem solutions, and ensure successful integration launches. The position involves close collaboration with partnership, product, and engineering teams, as well as supporting documentation and guidelines for partners. Candidates must have experience working with LLMs, REST APIs, Python, and JavaScript, along with skills in interacting with technical and business stakeholders.

CoreOS Software Integration Triage Engineer at Apple
The main task is to identify and route bugs to the appropriate teams, improve the triage and testing processes, and develop tools for diagnostics and automation. The position requires close collaboration with engineering, testing, and other teams, as well as the ability to work with Unix systems and proficiency in Python programming.

Data Center Hardware Specialist I at Google Cloud
This role focuses on supporting and deploying large-scale accelerated computing clusters for strategic Google Cloud customers. You will coordinate the technical implementation of projects, interact with clients and internal engineering teams, and develop and implement best practices for high-performance computing systems. The position involves working with hardware accelerators, networking, and cloud infrastructures, as well as participating in the design of system architectures for critical workloads.

Engineering Manager at Netflix
This position involves leading a team of developers within the Cloud Network Engineering organization. The primary focus is ensuring a secure, high-performance, and reliable network infrastructure for Netflix on the AWS cloud platform. The team develops software solutions for managing network flows and security policies, simplifies developer interaction with network infrastructure, and builds an L3/L4 observability platform based on eBPF.