"backend infrastructure in" Jobs
2202 open tech roles matching “backend infrastructure in”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 2202 results
Join Anthropic as a Performance Engineer to optimize AI inference systems for throughput, latency, reliability, and correctness.
Join Together AI to build production AI agents and foundational systems for one of the largest GPU fleets in the world.
Join Okta as a Staff Backend Engineer to lead the development of secure backend services in a dynamic engineering pod in India.
Join Apiiro as a Software Engineer to build robust systems and drive innovative security capabilities for development teams.
Join Horizon3.ai as a Senior Backend Engineer to develop core product features and enhance platform stability in a fully remote environment.
Own the system architecture for a startup transforming engineering with AI, working directly with civil engineers.
Join our Crawler team as a Backend Software Engineer to develop and optimize large-scale web crawlers and data processing systems.
Join Dome Systems as a Product Engineer to build AI-native software solutions in a fully remote environment.
Join CoreWeave as a Senior Software Engineer to build software for managing large-scale GPU data center infrastructure.
Join MaintainX as a Full-Stack Developer in the IAM team to enhance secure access across our platform.
Join Applied Intuition to design and build large-scale data platforms for AI research and autonomy development.
Join Arena as a Software Engineer focusing on product security, designing and implementing robust security systems for AI applications.
Build and scale backend systems for AI-driven physical security products at a rapidly growing company.
Join Viz.ai as a Senior Platform Engineer to enhance developer experience and backend infrastructure in a mission-driven team.
Join Vals AI as a mid-level engineer to build and maintain a platform for evaluating LLMs at scale in a dynamic startup environment.