2

Remote Infrastructure Engineer Jobs in California

$200K - $250K/yr

... Engineer, you'll design and own production-grade infrastructure that supports Tessera's AI systems across multiple cloud providers. You'll work on everything from Kubernetes and Terraform to ...

next page

Showing results 1-20

Remote Infrastructure Engineer information

What is a Remote Infrastructure Engineer job?

A Remote Infrastructure Engineer is responsible for designing, managing, and maintaining an organization's IT infrastructure, including servers, networks, cloud environments, and security systems, while working remotely. They ensure system reliability, optimize performance, troubleshoot issues, and implement new technologies to support business operations. This role requires expertise in networking, cloud computing, automation, and cybersecurity, often working with tools like AWS, Azure, VMware, and monitoring systems. Effective communication and problem-solving skills are essential, as they collaborate with teams to resolve technical challenges.

What are the key skills and qualifications needed to thrive in the Remote Infrastructure Engineer position, and why are they important?

To thrive as a Remote Infrastructure Engineer, you need a strong background in network administration, cloud computing, and server management, often paired with a degree in computer science or related field. Familiarity with tools like AWS, Azure, Docker, Kubernetes, and certifications such as AWS Certified Solutions Architect or CompTIA Network+ are typically expected. Excellent problem-solving abilities, proactive communication, and strong organizational skills help you manage tasks independently and collaborate across dispersed teams. These capabilities are crucial for maintaining reliable, secure infrastructure and supporting seamless remote operations for organizations.

What are the typical daily tasks of a Remote Infrastructure Engineer?

As a Remote Infrastructure Engineer, your daily responsibilities generally include monitoring system performance, deploying updates and patches, managing cloud resources, and troubleshooting network or server issues. You'll often work closely with development and security teams to ensure optimal infrastructure performance, automate routine processes, and uphold security standards. Collaboration through project management platforms and remote communication tools is common to keep the team aligned. The role frequently involves both scheduled maintenance and responding to urgent incidents, offering a dynamic and impactful work environment.
What are the most commonly searched types of Infrastructure Engineer jobs in California? The most popular types of Infrastructure Engineer jobs in California are:
What are popular job titles related to Remote Infrastructure Engineer jobs in California? For Remote Infrastructure Engineer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Infrastructure Engineer jobs? Cities in California with the most Remote Infrastructure Engineer job openings:
Infographic showing various Remote Infrastructure Engineer job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Software Engineer - Together Cloud Infrastructure

Together AI

San Francisco, CA • On-site, Remote

$160K - $230K/yr

Other

Medical

Posted 19 days ago


Job description

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform - a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Responsibilities
  • Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning.
  • Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs.
  • Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining.
  • Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining.
  • Perform architecture and research work for decentralized AI workloads
  • Work on the core, open-source Together AI platform
  • Create services, tools, and developer documentation
  • Create testing frameworks for robustness and fault-tolerance

To be successful, you'll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities. 

Requirements
  • 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
  • 5+ years experience writing high-performance, well-tested, production quality code
  • Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
  • Excellent communication skills - able to write clear design docs and work effectively with both technical and non-technical team members
  • Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
  • Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
  • Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
  • Experience with Cluster API or similar a big plus
  • Experience working on high-performance compute, networking, and/or storage a big plus
  • Experience virtualizing GPUs and/or Infiniband a big plus
  • Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
  • Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
  • Experience building IaaS or PaaS systems at scale a plus
  • Experience with DPUs/SmartNICs a plus
  • GPU programming, NCCL, CUDA knowledge a plus 
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy