Systems administrator jobs in Sonoma, CA - 1,040 jobs

Employment Type Full time Department General & Administrative Compensation San Francisco Bay Area $110K - $125K Envoy's compensation package includes a market-competitive salary, equity for all full-time roles, and excellent benefits. Final offers may vary within the provided range, depending on experience, expertise, and other factors. Envoy builds workspace management technology that makes it simple to run secure, compliant, and connected workplaces across every location. Over 16,000 workplaces and properties around the world rely on Envoy to create great experiences for employees and visitors while meeting safety, security, and compliance needs at scale. From corporate headquarters and labs to manufacturing sites, Envoy powers the places where people work best together. Learn more at envoy.com About the role Envoy's Workplace Technology team strives to create a workplace that just works. You will join an experienced IT team in building, supporting, and growing an innovative technology experience for all Envoys. We believe that IT is more than a service desk; we don't just keep the lights on, we help design the light. Our team is looking for an exceptional/experienced tech analyst who will be the primary point of escalation for front-line issues, communication, and resolution. This is a full-time role, reporting to our Workplace Technology Manager. Envoy is a fast-paced startup environment, and we look for people who are creative, agile, and organized. This is an on-site position that requires 5 days a week (Monday-Friday) in our San Francisco HQ. You are A seasoned, experienced professional with a full understanding of providing IT support. You will Provide level 2 and level 3 support for technical issues. Support Envoys in their daily service, software, and hardware requests. Resolve complex Workplace Tech support requests. Conduct root cause analysis, identify appropriate solutions, and implement them. Document and train the team on IT subject matter expertise. Support and continuously improve onboarding and offboarding processes. Collaborate on team, department, and company-wide IT-owned initiatives. You have Enjoy working in a customer-focused, technical environment. Strong experience working with mac OS, iOS, and SaaS services and tools. Ability to communicate problem-solving related questions and directions in a clear and accessible way. Design, build, and maintain Okta/JIRA Workflows to automate identity lifecycle events (onboarding, offboarding, role changes, and app provisioning). Identify opportunities for workflow optimization using Okta APIs, hooks, and integrations. Manage JAMF Pro for mac OS and iOS devices across the organization. Create and maintain configuration profiles, policies, and scripts to automate device setup and compliance enforcement. Prioritize a variety of tasks and service requests in a dynamically changing environment. Experience in automating workflows and implementing system improvements. Advanced administration skills in applications like Atlassian, Google Workspace, Okta, Zoom, Zapier, Slack, and other SaaS apps. You'll get A high degree of trust in your ideas and execution. An opportunity to partner and collaborate with other talented people. An inclusive community where you feel welcomed and cared for as a person. The ability to make an immediate impact, helping customers create a great workplace experience. Support for your personal and professional growth. Bonus points Expertise in specific technologies or platforms, particularly within Apple's ecosystem. Familiarity with ITIL methodologies or certifications. If you have any questions related to compensation, please contact Recruiting after you apply. #LI-Hybrid By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application. Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law. Compensation Range: $110K - $125K #J-18808-Ljbffr

Employment Type Full time Department Engineering About the Company: World is a network of real humans, built on privacy‑preserving proof‑of‑human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone. About the Team Our Infrastructure team is a collaborative group of experienced engineers dedicated to supporting the World project's mission. With diverse backgrounds from across the technology landscape, we work together to solve complex challenges and provide a stable foundation for the entire organization. We are now thoughtfully expanding our team from Europe to the US, and we're looking for a new member to help us grow. We believe in sharing knowledge and supporting each other as we tackle the unique opportunity of building infrastructure for a global community. About the Opportunity We are looking for a Staff Infrastructure Engineer to help establish our team's presence in the United States. This is a meaningful role where you will contribute significantly to the technical direction and best practices for our infrastructure in the region. Your work will involve a thoughtful blend of responsibilities, from hands‑on systems administration to building reliable automation and contributing to our Site Reliability Engineering (SRE) practice. There is never a dull day; your contributions will support a wide variety of critical systems, including our anonymous multi‑party computation platforms, internal security services, and blockchain node deployments. Ultimately, your work will directly support our teams and the project's long‑term goals. About You With at least 10 years of experience, you are a senior infrastructure engineer who enjoys both teaching and learning from your peers. You have a strong foundation in systems engineering, including hands‑on experience with Linux, networking, and cloud environments like AWS or GCP. You enjoy building tools and automation that make work easier and more reliable for everyone, with experience in infrastructure‑as‑code tools like Terraform. You are a proactive and thoughtful problem‑solver, taking the initiative to see challenges through to resolution. You are a kind and clear communicator, able to work effectively with a distributed team and patiently support colleagues with different technical backgrounds. You are motivated by the opportunity to contribute your expertise to a project with a broad and positive mission. Your background includes experience working on large‑scale, distributed systems. By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR. Pay transparency statement (for CA and NY based roles): The reasonably estimated base salary for this role at TFH ranges from $250,000 - $270,000, plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision, a 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more! #J-18808-Ljbffr

A prominent blockchain company is seeking a Software Engineer to design and build core infrastructure for future commerce. This role involves architecting secure distributed systems, developing scalable APIs, and collaborating with cross-functional teams on innovative blockchain solutions. The ideal candidate should have experience with impactful software projects, a collaborative mindset, and a passion for new technologies. The position offers competitive compensation and the potential for visa sponsorship for international candidates. #J-18808-Ljbffr

A pioneering AI infrastructure company in San Francisco is looking for a Founding Infrastructure Engineer. This role focuses on architecting and building core systems for an AI agent platform. Candidates should have experience in scaling distributed systems and a passion for developer tools within a startup environment. The position offers competitive salaries, equity, and benefits like unlimited PTO and relocation assistance. #J-18808-Ljbffr

Who We Are: At TwelveLabs, we are pioneering the development of cutting‑edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video‑language modeling, empowering us with more intuitive and far‑reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top‑tier venture capital firms such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei‑Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person's journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About the Role As an Infrastructure Engineer at TwelveLabs, you will design and build the core infrastructure that allows our AI SaaS platform to operate stably and scale effectively. You will work across both cloud and on‑premise environments, developing robust system architectures to support large‑scale video AI foundation models. In our fast‑paced startup environment, you will optimize for performance, security, and flexibility while collaborating closely with multiple teams across the company. In this role, you will Design and operate multi‑tenant architectures for global enterprise customers. Develop scalable CI/CD pipelines with Terraform automation. Build flexible infrastructure spanning AWS, GCP, Azure, and on‑premise environments. Optimize cloud infrastructure for security and efficiency with advanced monitoring and security frameworks. Design scalable architectures to rapidly support new video AI models and services. Collaborate with PMs, engineers, and researchers to bring AI products to life. You may be a good fit if you have: Required Experience 10+ years of experience as an infrastructure engineer. Experience building and operating infrastructure in cloud environments such as AWS, GCP, and Azure. Hands‑on experience with IaC (Infrastructure as Code) tools such as Terraform or Ansible. Experience operating container‑based workloads with Kubernetes. Scripting and automation experience with languages such as Python, Go, or TypeScript. Experience designing and operating CI/CD pipelines. Preferred Qualifications: Experience designing and operating multi‑tenant architectures in enterprise SaaS environments. Experience designing infrastructure architectures aligned with security and compliance standards, including audit support. Experience building advanced monitoring and logging systems. Proven ability to operate infrastructure optimized for both performance and cost efficiency. Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0‑1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑💻 Work closely with a collaborative, mission‑driven team on cutting‑edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). #J-18808-Ljbffr

Cloud Infrastructure Engineer - Mid to Staff Level 10 applied Full-time $ 200 - 375 K/year 2 - 6 yrs Posted on: Nov 18, 2025 No of Positions: 4 Skills infrastructure terraform yc startup Series B cicd Infrastructure Engineer (Entry to Staff Level) Position: Full-time Location: San Francisco, CA (On-site - 5 days/week) Experience Level: 2-6 years Compensation: $200K-$375K (mid-level: approx. $250K-$325K; senior: $300K-$375K) Equity: Competitive About the Role We are looking for a passionate Infrastructure Engineer to join our growing team and help build and operate foundational services for a large-scale, AI-driven platform. Your work will support high reliability, scalability, and performance, enabling us to serve millions of users and meet enterprise-grade infrastructure needs. What You'll Do Design and implement critical infrastructure services with well-defined Service Level Objectives (SLOs), robust runbooks, and actionable telemetry. Collaborate with cross-functional teams (research, product) to architect solutions, prototype infrastructure, assess performance, and scale new features. Tune service performance: optimize networking paths, implement smart caching and queuing strategies, and fine-tune CPU/memory/I/O to meet tight p95 and p99 latency targets. Evolve and improve CI/CD workflows, define “golden paths,” and build self-service tools to boost developer velocity and ensure platform safety. Support multiple deployment architectures, ensuring customers have reliable observability and upgrade mechanisms. Drive infrastructure-as-code (IaC) practices, primarily using Terraform, enforce GitOps workflows, reduce drift via reusable modules, and apply policy-as-code. Participate in on-call rotations and continually reduce operational toil by automating repetitive tasks and preventing recurring incidents. What We're Looking For 2-6 years of experience in infrastructure engineering, site reliability engineering, or a closely related role. Strong experience with infrastructure-as-code (Terraform) and GitOps practices. Deep understanding of monitoring, telemetry, and observability tools. Proven ability to optimize system performance (networking, caching, CPU/memory/I/O). Experience building or improving CI/CD pipelines and developer self-service platforms. Hands-on with deployment architectures and operational practices for scalable, production-level systems. Experience participating in on-call rotations and reducing operational burden through automation. Excellent collaboration skills, with the ability to partner with product and research teams. Demonstrated ownership, problem-solving mindset, and drive to build for scale. Competitive base salary + equity. Opportunity to build infrastructure for a highly scalable, AI-powered product. Work in a fast-growth environment that values reliability, automation, and developer experience. If you're passionate about building scalable, high-performance infrastructure and want to work in a startup environment with significant impact, we'd love to hear from you. HireTo by Kuvaka Tech, Founded in 2019, HireTo is an AI-powered staffing and recruitment arm of Kuvaka Tech, dedicated to delivering high-quality IT hiring solutions for startups and mid-sized companies. Leveraging advanced AI-driven technical assessments, domain expertise, and a deep understanding of emerging technologies, HireTo specializes in sourcing, evaluating, and placing top-tier talent across Cloud, Backend, Frontend, Mobile Development, DevOps, Data Engineering, Data Science, AI/ML, and Prompt Engineering roles. Backed by Kuvaka Tech strong foundation in Blockchain, Artificial Intelligence, and SaaS solutions, HireTo combines precision, speed, and scalability, ensuring the right candidates reach clients on time, every time. #J-18808-Ljbffr

A leading AI company in San Francisco seeks a Product Infrastructure Engineer to architect and scale AI agent infrastructure. You will build and optimize cloud systems, automate processes, and implement security best practices. Ideal candidates have 4+ years in running distributed systems, with a focus on infrastructure as code and performance optimization. This in-person role emphasizes collaboration with top talents and a commitment to excellence in achieving impactful solutions. #J-18808-Ljbffr

A leading technology firm is seeking a talented AV Infrastructure Engineer to join their team in San Francisco. In this role, you will be crucial in building and managing a global network of Giga Hubs for autonomous vehicle infrastructure. Responsibilities include integrating advanced charging stations and maintenance facilities to optimize AV fleet efficiency. A strong background in AV infrastructure design and passion for innovative transportation solutions is essential. #J-18808-Ljbffr

A leading AI training firm in San Francisco is seeking an Infrastructure Engineer to build and optimize their systems supporting rapid growth. In this role, you will design and maintain cloud infrastructure, automate deployments, and improve system reliability. The ideal candidate has strong AWS experience, proficiency with Terraform, and a growth mindset. This is a unique opportunity to impact the AI industry while working in a fast-paced, high-ownership environment. #J-18808-Ljbffr

A cutting-edge AI company based in San Francisco is seeking experienced backend engineers to design, build, and scale high-performance services and APIs. The ideal candidate will have 4+ years of experience, strong skills with cloud platforms, and a keen interest in AI applications. This role offers competitive pay packages and comprehensive benefits, including flexible paid time off and a housing stipend, within a collaborative and innovative environment. #J-18808-Ljbffr

Reducto helps AI teams ingest real world enterprise data with state of the art accuracy. The vast majority of enterprise data - from financial statements to health records - is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale. We've grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm). We've raised over 100M from world-class investors like A16z, Benchmark, and First Round Capital, and are hiring a founding Infrastructure Engineer. The Opportunity As the first dedicated Infrastructure Engineer at Reducto, you will influence every aspect of our infrastructure from the ground up. You will architect and scale resilient systems for AI and ML workloads, automate cloud infrastructure, and implement monitoring and incident response practices that set the standard for reliability. This role requires technical leadership, hands‑on systems engineering, and strong collaboration with our founders and product teams as we build a company around reliability, rapid iteration, and high‑impact product delivery. The core work will include: Designing, building, and maintaining highly available, scalable infrastructure to support intensive AI/ML workloads and real‑time model deployments. Implementing robust monitoring, alerting, and observability systems to ensure system health, performance, and uptime across cloud and on‑prem environments. Debugging, optimizing, and automating infrastructure for fast iteration and rapid deployment cycles, focusing on both reliability and developer velocity. Proactively identifying, investigating, and resolving incidents to minimize downtime and maintain world‑class service levels for enterprise customers. Collaborating closely with engineers, ML specialists, and founders to shape product, infrastructure, and security strategies. We would love to meet you if you: Are your own worst critic-have an extremely high bar for quality and always aim for robust solutions rather than quick fixes. Have 5+ years of hands‑on experience in building or supporting production‑grade infrastructure and reliability processes for high‑throughput systems. Are comfortable with Python or similar languages, and exceptional at working across cloud platforms, container orchestration (e.g., Kubernetes), networking, and storage technologies. Build your own tools on the fly to diagnose, experiment, and address reliability problems-whether it's an internal dashboard or an automated remediation workflow. Bring a quantitative, hands‑on approach to system operations, automation, and continuous improvement. Bonus points if you: Have prior experience founding a company or building products/infrastructure in early‑stage, high‑growth environments. Are excited about automating incident management processes with LLMs/AI. Are driven, ambitious, and deeply care about both technical excellence and collaborative problem‑solving. Keep up with the latest trends in cloud, observability, and SRE best practices. Are passionate about open‑source and have contributed tools or automation to reliability communities. Have built or optimized monitoring, incident response, or high‑performance computing systems for demanding AI/ML, fintech, or enterprise clients. This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you. About Reducto Nebograd 80% of enterprise data is in unstructured formats like PDFs. PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that's simply impractical for use in digital workflows. This isn't an inconvenience-it's a critical bottleneck that leads to dozens of wasted hours every week. Traditional approaches fail at reliably extracting information in complex PDFs. OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with. Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you: Accurately extract text and tables even with nonstandard layouts Automatically convert graphs to tabular data and summarize images in documents Extract important fields from complex forms with simple, natural language instructions Build powerful retrieval pipelines using Reducto's document metadata Intelligently chunk information using the document's layout data Benefits at Reducto At Reducto, we're invested in the well‑being and growth of our team. Here's what we currently offer: Unlimited PTO: We believe great work requires recharging. Lunch: Receive a free lunch to eat with your teammates daily at the office Reimbursed Transportation: Provide us with your receipts and we'll take care of the costs Insurance: Generous health insurance covering medical, dental, and vision. Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar. Parental Leave: Work with us to build a leave schedule that works for you and your family Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a Software Engineer II to work on core platform infrastructure and drive critical projects. This role requires solid professional experience in software engineering focusing on infrastructure, automation, or platform tooling. The ideal candidate should thrive in dynamic environments and contribute to the evolution of existing products while ensuring operational stability. Competitive salary and benefits are offered along with equity opportunities. #J-18808-Ljbffr

A leading technology firm is seeking a Cloud Infrastructure Engineer for their San Francisco office. This role involves managing foundational capabilities that their product relies on, collaborating with engineering teams to enhance tool effectiveness, and ensuring high-quality experiences for users. Candidates should have over 3 years of engineering experience, with a strong emphasis on cloud infrastructure, and a desire to work in an inclusive and customer-focused environment. The position requires in-office attendance 4 days a week. #J-18808-Ljbffr

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable. Responsibilities Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real‑time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you Have 5+ years of experience building production ML infrastructure, ideally in safety‑critical domains like fraud detection, content moderation, or risk assessment Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Have hands‑on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes) Understand distributed systems principles and have built systems that handle high‑throughput, low‑latency workloads Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems) Are results‑oriented, with a bias towards reliability and impact in safety‑critical systems Enjoy collaborating with researchers and translating cutting‑edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may have experience with Working with large language models and modern transformer architectures Implementing A/B testing frameworks and experimentation infrastructure for ML systems Developing monitoring and alerting systems for ML model performance and data drift Building automated labeling systems and human‑in‑the‑loop workflows Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy‑preserving ML techniques and compliance requirements Contributing to open‑source ML infrastructure projects Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full‑time employees includes equity and benefits. Annual Salary: $320,000-$405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you ******************* email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest‑impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large‑scale research efforts. And we value impact - advancing our long‑term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest‑impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. #J-18808-Ljbffr

We're democratizing software creation. Our platform lets anyone describe an idea and instantly turn it into a working application-no coding required. We're solving one of computing's fundamental challenges : bridging the gap between human intent and software execution. This requires breakthrough advances in AI reasoning, code generation, and user experience. We've raised a large seed round from some of the best investors in the world including Alexis Ohanian (776), Arielle Zuckerberg and Cyan Banister (Long Journey), Ali Partovi and Suzanne Xie (Neo), and a whole host of amazing angels who are leaders at Google, Expo, OpenAI, etc. About the Role Want to be at the forefront of designing infrastructure for a mass-market consumer product? This role is for you. We're looking for an Infrastructure Engineer to build the systems that power millions of AI-generated applications. You'll architect the platform that securely runs thousands of user-created apps simultaneously while maintaining blazing-fast performance and bulletproof reliability. What you'll do : Design and implement secure sandbox environments for running untrusted AI-generated code at massive scale Build orchestration systems for stateless containers that can spin up 10,000+ apps concurrently Architect backend API services that handle real-time code generation, compilation, and deployment Create monitoring and observability systems for complex, multi-tenant application infrastructure Design auto-scaling systems that handle unpredictable traffic patterns from viral consumer apps Build security-first infrastructure that isolates user applications while maintaining performance This isn't typical infrastructure work. You'll be solving novel problems around code execution at scale, building systems that don't exist yet, and creating infrastructure patterns for the AI-native era. About You 4+ years of infrastructure / platform engineering experience with high-scale consumer products Deep expertise in containerization, orchestration (Kubernetes, Docker), and cloud platforms (AWS / GCP) Strong background in security, sandboxing, and multi-tenant architecture Experience with high-throughput API design and real-time systems Proficiency in Go, Rust, or similar systems programming languages Track record of building infrastructure that scales from thousands to millions of users Bonus points if you have : Experience with code execution platforms, serverless computing, or developer tools Background in security sandboxing or container isolation technologies Understanding of AI / ML infrastructure and model serving at scale Why Vibecode Impact : Build the infrastructure that enables millions of people to create their first piece of software. Technical Challenges : Solve unique problems at the intersection of AI, security, and massive scale that no one has tackled before. Ownership : As a founding infrastructure engineer, you'll define our platform architecture and technical standards. Growth : Significant equity and the opportunity to scale with a well-funded, fast-growing company. Details Base Salary : $150,000 - $400,000 based on experience Equity : Significant equity package as a founding team member Location : In-person in San Francisco Apply Send your resume and a note about a technical infrastructure project you're proud of to ********************** along with filling out the form below. We'll start with a technical conversation, followed by an onsite where you'll work on real infrastructure challenges with our team. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking an experienced infrastructure engineer to design and build scalable systems. You will play a vital role in maintaining reliability and security while operating orchestration systems like Kubernetes. The ideal candidate has over 5 years of experience creating cloud abstractions and is comfortable with rapid change. The position requires a commitment to an inclusive culture and offers relocation assistance. #J-18808-Ljbffr

Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe's experience in global payments and Paradigm's expertise in crypto tech. Tempo's payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century. We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more. We're a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. Our team primarily works in‑person out of our San Francisco and NYC offices (with remote flexibility for engineer roles). We like to move fast and swing for the fences - join us! The Role You'll build out Tempo's infrastructure stack and ensure the engineering team can ship effectively and efficiently. This is an opportunity to work on cutting‑edge technology at the frontier of crypto. Responsibilities Implement and manage the infrastructure that allows the engineering team to ship quickly and effectively Proactively identify and eliminate bottlenecks in the devops process to ensure optimal developer velocity Qualifications Proven experience maintaining and scaling bare metal servers and cloud environments for production systems Proficient at building tooling and scripts using Rust, Go or Python Deep expertise deploying Kubernetes within production environments and working with IaC and configuration management tools like Terraform, Helm and ArgoCD Skilled at deploying monitoring, alerting and observability systems (e.g., Prometheus, Grafana), securing and hardening those systems, and troubleshooting issues with engineers Knowledgeable about Linux and networking, and troubleshooting on Linux systems Familiarity with blockchain infrastructure, particularly the Ethereum ecosystem Attributes High motor Razor‑sharp thinker with precise command of language Concise, evidence‑based communicator Excellent organizational and logistical skills Intense curiosity and open‑mindedness Scrappiness; willingness to roll up sleeves Growth mindset #J-18808-Ljbffr

A technology firm in the AI infrastructure space is seeking a high agency engineer to develop novel systems for their compute delivery platform. This candidate should possess strong programming skills in languages like C, C++, or Rust and have experience with command and control patterns, along with proficiency in SQL data models and API implementation. The role offers competitive benefits including equity grants, retirement matching, medical insurance, and generous time off policies. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking an experienced IT Analyst to manage technical support and improve workplace technology. The successful candidate will have a strong background in mac OS and SaaS tools, along with excellent problem-solving skills. This on-site role offers a competitive salary within the range of $110K - $125K and fosters a collaborative and supportive work culture. #J-18808-Ljbffr