Top Infrastructure Engineer Jobs in San Francisco, CA

Design, build, and maintain cloud architecture, model serving infrastructure, and ML pipelines. Optimize AI workloads for low-latency inference and cost efficiency, implement CI/CD for model deployment, monitoring, and versioning, and ensure reliability, security, and observability for mission-critical AI services. Collaborate with product and engineering teams, document runbooks, and mentor colleagues.

As a Senior Infrastructure Engineer, you'll build scalable systems for a next-generation search platform, ensuring data integrity and user experience while collaborating with cross-functional teams.

As a Sr. Product Security Engineer, you will focus on network security, identifying gaps, architecting solutions, and leading cross-functional security initiatives.

As a Network Engineer at Deepgram, you'll optimize global network infrastructure for real-time audio streaming, focusing on latency reduction across hybrid cloud and on-premises environments.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As an Infrastructure Engineer, you'll design and maintain cloud infrastructure, build automation workflows, manage CI/CD pipelines, and improve system reliability while collaborating with product and research teams.

The ML Infrastructure Engineer at Mach9 will design and maintain CI/CD pipelines for ML workflows, optimize real-time inference services, and build data management systems, collaborating closely with ML researchers.

Design, implement, and operate large-scale distributed storage systems ensuring data durability, availability, and performance. Build and maintain replication, erasure coding, and lifecycle systems; write high-quality Go/Rust/C++ code; participate in on-call rotations; troubleshoot production incidents; collaborate with networking, hardware, and capacity teams; lead scoped projects and drive infrastructure evolution.

Build and optimize infrastructure for private, personal AI models, ensuring performance and privacy while deploying at scale.

The Automation and Infrastructure Engineer will design and install control systems infrastructure, manage network administration, and ensure project compliance with industry standards.

The Senior / Staff Infrastructure Engineer will design and manage infrastructure for AI platforms, ensuring security, reliability, and scalability in cloud deployments. Responsibilities include deploying hybrid solutions and implementing infrastructure-as-code.

The Sr. ML Infrastructure Engineer II will design and deploy ML recommendation systems, enhance data pipelines, improve model serving infrastructure, and collaborate across teams to optimize ML performance.

Lead AI Engineer responsible for developing AI-powered products and deploying scalable AI solutions using technologies like LLM and machine learning algorithms. Collaborate with cross-functional teams to optimize performance and support AI systems.

The Staff Software Engineer will architect and develop high-performance cloud services, resolve infrastructure bottlenecks, ensure engineering best practices, and mentor junior members.

Design and re-architect the Identity systems at Dropbox to support multi-product capabilities, mentor junior engineers, and ensure software excellence.

As an Infrastructure Engineer, you will design scalable systems for AI/ML workloads, automate cloud infrastructure, and implement monitoring for reliability.

The Lead Infrastructure and Reliability Engineer will enhance GPU operations, define scalability strategies, and develop organizational strengths in a high-demand AI infrastructure setting.

The Cloud Infrastructure Engineer will develop and maintain infrastructure using Terraform and Kubernetes, support multi-cloud deployments, and improve CI/CD processes.

Design and build a cloud execution environment for AI agents, developing distributed systems, managing infrastructure, and ensuring observability.

As a Platform Deployment Architect, you'll manage customer deployments of Sierra's AI platform, ensuring compliance and operational efficiency while collaborating across teams and establishing scalable processes.

As a Machine Learning Infrastructure Engineer, you'll design scalable infrastructure for AI research, manage deployments, and ensure reliable customer solutions, working directly with the CEO.

Responsible for building and scaling the GPU Cloud Marketplace, transforming GPUs from suppliers into a programmable, orchestrated pool for AI developers and researchers.

The Senior Flutter Engineer will own the mobile platform, focusing on audio recording, offline capabilities, cross-platform stability, and CI/CD pipeline maintenance, while mentoring junior engineers.

The SRE/Infrastructure Engineer will architect and manage secure, scalable systems for automated penetration testing, optimizing reliability, and enhancing infrastructure based on customer demand. Responsibilities include maintaining production environments, leading technical discussions, and promoting high coding standards.

As an AI QA & Infrastructure Engineer, you'll design and execute test plans, maintain testing environments, track quality metrics, and improve QA processes for Aidaly's products.