Systems administrator jobs in San Jose, CA - 2,038 jobs

Employment Type Full time Department Engineering Compensation $180K - $240K • Offers Equity ABOUT FATHOM We think it's broken that so many people and businesses rely on notes to remember and share insights from their meetings. We created Fathom to eliminate the needless overhead of meetings. Our AI assistant captures, summarizes, and organizes the key moments of your calls, so you and your team can stay fully present without sacrificing context or clarity. From instant, searchable call summaries to seamless CRM updates and team-wide sharing, Fathom transforms meetings from a source of friction into a place for alignment and momentum. We started Fathom to rid us all of the tyranny of note-taking, and people seem to really love what we've built so far: 🥇 #1 Highest Satisfaction Product of 2024 on G2 🔥 #1 Rated on G2 with 4,500+ reviews and a perfect 5/5 rating 🥇 #1 Product of the Day and #2 AI Product of the Year 🚀 Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces 📈 We're hitting usage and revenue records every week We're growing incredibly quickly, so we're looking to grow our small but mighty team. Role Overview: We are looking for an SRE who is passionate about leveraging data and automation to drive a highly dynamic infrastructure. The role is a unique blend of infrastructure and internal tooling to reduce friction at every step of delivering an amazing customer experience. As part of our team, you'll play a pivotal role in scaling our infrastructure, reducing toil through automation, and contributing to our culture of innovation and continuous improvement. What you'll do: By 30 Days: Use your observability background to help scale our existing tools to new heights as we continue to grow the platform. Enhance our existing automation for scaling our infrastructure and improve the development experience. By 90 Days: Play a key role in continuing to diversify and scale our platform across additional regions. Evaluate options to replace our existing real-time data pipeline for enhanced multi-regional capabilities. Provide platform support to all of engineering, using data-driven decision-making. By 1 Year: Work with engineering to re-evaluate what observability means for the Fathom platform, and drive improvements to remove friction Help us design and implement improvements to our elastic multi-regional storage platform. Drive platform improvements to enhance reliability and efficiency Requirements: Hard Skills: Proficiency with and preference for Infrastructure as Code / GitOps tooling. Foundation in Observability best practices and implementation. Experience in a SaaS or PaaS environment. Experience with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), including proficiency with GCP/GKE networking Familiarity with our tech stack: Message Queues, Prometheus, ClickHouse, ArgoCD, Github Actions, Golang. (Ruby / Rails is a bonus) Soft Skills: Curiosity-driven with a focus on delivering results. A generalist mindset with the ability to dive deep into a wide range of challenges. Resilience and an ability to grind through complex problems. Openness to disagreement and commitment to decisions once made. Strong collaborative skills, with the ability to explain complex insights in an accessible manner. Independence in managing one's workload and priorities. What You'll Get: The opportunity to shape the dynamic platform of a growing company. A role that balances scaling infrastructure, enabling development teams, and internal tooling development A chance to work with a dynamic and collaborative team. Competitive compensation and benefits. A supportive environment that encourages innovation and personal growth. Join Us: If you're excited to own the data journey at Fathom and contribute to our mission with your analytical expertise, we would love to hear from you. Apply now to become a key player in our data-driven success story. Compensation Range: $180K - $240K #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

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

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

We're looking for a Founding Infrastructure Engineer with deep expertise in building and scaling cloud-native systems. This is a highly technical, high-impact role focused on designing and evolving the foundation that powers our AI platform. You'll work across the entire infrastructure stack, from GPU orchestration to networking and observability, ensuring our systems are reliable, performant, and cost-efficient. You'll shape the architecture that supports large-scale AI workloads, set best practices for how we operate, and establish the infrastructure patterns that will carry Reactor forward over the next 1, 2, and 5 years. We want to build a world‑class infrastructure platform for serving AI at scale, and you'll own this critical part of our stack. What You'll Do • Design and scale the infrastructure for real‑time AI inference, delivering ultra‑low latency, high throughput, and cost efficiency. • Orchestrate GPUs and manage multi‑tenant workloads with Kubernetes, service mesh, and global traffic routing. • Build and operate core systems including Terraform‑based infrastructure, Kubernetes, observability (Prometheus, Grafana), distributed storage, and networking. • Implement cross‑cutting capabilities: authentication, rate limiting, monitoring, alerting, and telemetry for inference systems. • Define the roadmap for infrastructure growth, making tradeoffs across performance, reliability, and cost. • Partner closely with ML engineers to productionize and optimize model serving pipelines. Required Skills • Proven experience in infrastructure engineering, DevOps, or ML platform engineering. • Deep expertise in Kubernetes at scale, GPU orchestration, service mesh, and cloud‑native automation. • Experience designing and operating global load balancing and high‑availability traffic routing. • Fluency in infrastructure‑as‑code, modern CI/CD, and observability stacks. • Strong systems background: distributed systems, performance tuning, caching, concurrency, and cost optimization. • Hands‑on experience with ML inference serving frameworks (e.g., Triton, ONNX Runtime, vLLM, TensorRT). • Solid understanding of cloud security and data management strategies for inference workloads. • Startup mindset: thrive in fast‑paced environments, embrace ambiguity, and own projects end to end. Logistics We are based in‑person in San Francisco. We believe the best ideas and work come from being together. • Competitive San Francisco salary and meaningful early equity. • We sponsor visas. We are committed to working through the process together for the right candidates. If you're currently outside the US, we're also committed to helping you relocate to the US throughout this process. • We offer generous health, dental, and vision coverage, and relocation support as needed. If this sounds like you, we'd love to hear from you. #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

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

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

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 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

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

About Neon Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co-pilot decisions, and abstract away risk and complexity for our customers. We're replacing old-school, black-box relics with clear, modern, and developer-centric infrastructure. As an early team member, you'll have the opportunity to shape and scale Neon's product and culture, making a direct impact on our growth and success. You'll join a collaborative, diverse team from world‑class companies like Apple, Affi..., backed by renowned VC's including Thrive, a16z, Griffin Gaming, Ribbit, and Renegade. If you want to build disruptive technology, challenge the status quo, and help game creators thrive on their own terms, read on. About the Role Neon is hiring its first dedicated Infrastructure Engineer to build the foundation that powers our platform as we scale. You'll take ownership of infrastructure, tooling, and systems reliability, working closely with engineering leadership to ensure our platform remains fast, reliable, and ready for growth. This is a hands‑on, high‑impact role with broad scope, ideal for someone who enjoys being a craftsperson and shaping systems from the ground up. What You'll Do Lead infrastructure development across AWS, including compute, storage, and networking Design and maintain data pipelines and internal tooling Build and maintain Terraform configurations and deployment workflows Partner with engineers to ensure environments are scalable, secure, and reliable Build and maintain internal frameworks in TypeScript What We Look For 2+ years of software engineering experience with focus on infrastructure or platform engineering Experience with AWS, IaC (e.g. Terraform), and modern deployment frameworks (ECS, DynamoDB, Aurora, Redis, Snowflake) preferred Comfortable writing code (TypeScript preferred) Comfortable working across a wide surface area and context‑switching between projects Collaborative mindset with excitement about being the founding infrastructure hire Able to work from our offices in San Francisco or New York City #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Software Engineer for Privacy Infrastructure. You will design and operate systems to support legal compliance workflows and collaborate with various teams to solve large-scale data challenges while ensuring data security. The ideal candidate will have experience with large-scale data systems, secure solutions, and strong communication skills. This role offers competitive compensation and potential equity. #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

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

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

A leading AI research firm in San Francisco is seeking a Software Engineer for the Agent Infrastructure team. This role involves building scalable systems for training AI models and launching agentic products. Candidates should have deep experience in AI infrastructure, especially with large-scale systems. The position allows for a hybrid work model, requiring 3 days in the office per week. Compensation ranges from $255K to $405K per year. #J-18808-Ljbffr

About Kernel We're building the developer platform that lets AI agents use applications, starting with browsers. Our edge is an infrastructure platform that's extensible, observable, and built for scale from day one. Our platform handles the hard stuff: spinning up browsers quickly and efficiently at scale, providing great observability into their activity, and enabling both humans and AI agents to interact with them. If you're interested in building critical infrastructure for the next generation of AI applications, we'd love to chat. About the role As Founding Infrastructure Engineer at Kernel, you'll architect and build the core systems that power our AI agent platform end-to-end. You'll own critical infrastructure from conception to production, working with bleeding edge tech that needs to be both reliable and low latency. You'll also play a foundational role in how we build Kernel's culture. What you'll do Design, develop, and scale new product infrastructure, developer tools, and APIs Set direction for critical technical surface areas, enabling us to stay ahead of rapid growth Shape Kernel's hiring decisions and culture as we grow What we're looking for Experience scaling and designing distributed systems Interest or experience in micro VMs / unikernels and developer tools >=1 year of experience at a company with Technical excellence: we're building core infrastructure that's default open source. As a developer tool, our technical decisions are the product, and the details matter a lot. Low ego, high impact: you care more about building something meaningful than who gets credit Start-up ready: early stage sometimes means figuring it out as we go, and that energizes rather than drains you Excited to crush it: we're moving fast and looking for people excited about high velocity, high impact work, and having fun along the way. What you can expect as a Kernel Industry-competitive salary Above market equity Premium medical + dental coverage + dependent coverage Small, trusting team of senior + staff engineers Default async with minimal bureaucracy, only one meeting a week $1k / mo budget for LLM usage fees #vibecheck Daily lunches on us Unlimited PTO 401k + company match Relocation assistance Hiring process We have a simple process focused on real world collaboration and jointly getting to know each other: 30 minute intro calls with each of Kernel's co-founders (1 hour total) Half-day on-site (virtual or in-person) working with our team and co-founders on relevant technical challenges. Offer! #J-18808-Ljbffr