Top Infrastructure Engineer Jobs in San Francisco, CA

Develop and maintain infrastructure for blockchain systems, ensuring reliability and scaling services. Collaborate on automation and security for paving road infrastructure on cloud platforms AWS and GCP.

The iOS Software Engineer will maintain the CI/CD pipeline and Bazel build system, improving mobile build scripts and collaborating with cross-functional teams to streamline development and increase efficiency.

Design and build core systems for Dropbox's AI-driven Dash product, focusing on orchestration, planning, and evaluation of agent behavior while collaborating with cross-functional teams.

The Lead Cloud Infrastructure Engineer will design, build, and manage AWS infrastructure for data engineering, ensuring reliability and security.

The Backend Infrastructure Engineer at Sesame will develop secure, scalable infrastructure, focusing on voice interface, automation, and systems design for efficient service delivery.

As a Senior Software Engineer (DevOps), you will architect scalable Kubernetes environments, implement CI/CD pipelines, and enhance developer experience to support venture assets.

As a Senior Infrastructure Engineer, you'll design and build scalable cloud infrastructure for Stytch's identity platform, ensuring security and performance, while collaborating with teams to drive technical decisions and mentorship.

The Cloud Infrastructure Engineer 2 is responsible for managing Microsoft Exchange Online and SMTP services, ensuring operational stability, security, and performance across various services, and executing incident response and change management.

The Principal Infrastructure Engineer leads the design and implementation of automated solutions for IT operations, mentoring junior engineers and ensuring compliance with security standards.

The role involves developing cloud-native database solutions, particularly focusing on autoscaling functionality, and collaborating with various teams to enhance cloud infrastructure and performance.

As a Founding Product Infrastructure Engineer, you will enhance system infrastructure for AI agents, focusing on reliability, scalability, and best practices. Responsibilities include managing CI/CD, databases, performance, and operational standards while planning for future growth.

As an ML Infrastructure Engineer, you'll develop platforms and solutions for running ML jobs efficiently, establish CI/CD practices, and lead initiatives in technology alignment.

As an Infrastructure Engineer at Zendar, you will manage IT, CI/CD pipelines, and support build systems while working with engineers to enhance their productivity.

The Cloud Infrastructure Engineer will design, build, maintain infrastructure systems, automate processes, manage Kubernetes clusters, and enhance operational stability, collaborating across teams.

The Principal Infrastructure Engineer will build and manage cloud infrastructure, develop CI/CD platforms, automate governance processes, and support AI application velocity using tools like Snowflake, Terraform, and CI/CD strategies.

As an Infrastructure Engineer at Railway, you will develop system-level software, focusing on distributed systems and efficiency, building scalable services using Golang or Rust, while ensuring high performance and resilience.

Manage and optimize Sysdig's Infrastructure, automate deployment, ensure compliance and security, and oversee data-stores management while participating in incident responses.

The Infrastructure Engineer will build internal tools, enhance product features, and support scaling the Files.com platform, including on-call responsibilities.

The role involves supporting ML infrastructure, building diagnostic tools, managing deployments, and optimizing GPU utilization for ML projects.

As an AI Infrastructure Engineer at Spellbrush, you will design and run inference architectures for ML models across platforms, ensuring optimal performance and scalability.

As an Infrastructure Engineer focused on security, you will enhance and manage security infrastructure for foundational AI models, collaborating across teams to ensure secure and scalable operations.

The role involves designing and maintaining ML infrastructure systems for compute allocation and scheduling, improving reliability of workloads, and collaborating with ML engineers to enhance system efficiency.

Lead development of test infrastructure for autonomous vehicles, manage a team, design databases, REST APIs, and implement CI/CD pipelines.

Manage and scale on-prem infrastructure, automate workflows, ensure system reliability, and collaborate on CI/CD pipelines in a hybrid role.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.