Systems administrator jobs in Santa Rosa, CA

Candidates ONLY "No 3rd Party Candidates" The Server Administrator will work with a broad range of customers, partners, and key stakeholders in administrative and academic units to provide best-in-class server administration services. Required Qualifications Bachelor's degree, or equivalent combination of experience/training, in one or more of the following fields: computer science, engineering, computer information systems, etc. 3+ years of experience in one or more of the following fields: server administration, information technology, etc. Prior experience installing, configuring, modifying, and supporting Windows and Linux operating systems, hypervisor, and other virtualization technologies. Prior experience in information technology, platform services, or server administration. Experience with monitoring, auditing, tuning, analysis and optimization of system performance, security and capacity planning, patching, and upgrades. Prior experience with Unix and PowerShell scripting and scripting with Perl, Python, or other modern languages. Proficiency in key Infrastructure as Code (IaC) methodologies and principles. Strong customer service skills. Ability to triage and escalate to supervisors and/or other teams for resolution. Strong written and verbal communication skills and ability to communicate technical information and ideas to a diverse community of colleagues and stakeholders. Ability to establish and advance positive working relationships and strong rapport with team members, stakeholders, and customers. Strong organizational skills and ability to balance competing priorities and support concurrent projects. Demonstrated problem-solving skills; scopes solutions based on knowledge of available resources and timelines. Must have Windows sys admin, Linux, RHEL, Ubuntu, Citrix XenServer, Vmware, Ansible Nice to have: EPIC, Bigfix, ServiceNOW, Morpheus, iDRAC, Netscaler

Machaon Diagnostics is a clinical reference laboratory and contract research organization (CRO) that focuses on diagnosing, treating, and monitoring hemostatic and thrombotic conditions, complement-mediated disorders, and rare genetic diseases. Our mission is to save more lives with lab tests. Originating from a collaboration of four laboratory scientists, the team now includes clinicians, scientists, consultants, and technologists with over 400+ years of collective expertise. We provide esoteric and routine testing services to a broad clientele, including community hospitals, university medical centers, clinics, commercial laboratories, and research facilities, as well as biotechnology, pharmaceutical, and medical device companies. Our primary goal is to deliver high-quality testing with industry-leading speed. Role Description This is a full-time, on-site role located in Berkeley, CA for a Patient Advocate and Accounts Receivable Specialist. The responsibilities include managing patient accounts, advocating for patient needs, handling customer service inquiries, and managing cases. Additionally, the role involves critical thinking and effective communication in a medical setting. The specialist will work closely with patients, healthcare providers, and internal teams to ensure the best possible outcomes for those requiring our diagnostic services. Administer and maintain Google Workspace, Microsoft 365, Active Directory, MDM platforms, and enterprise SaaS applications. Manage and maintain server hardware, storage solutions, and network equipment (routers, switches, firewalls). Manage user lifecycle processes, including provisioning, de-provisioning, and access control. Support and secure endpoints across mac OS and Windows environments. Support processes and systems for asset inventory and management for hardware, software, and subscription services Support the onboarding process of new employees to include system setup, adding accounts to the AD infrastructure, and shipping computers and peripherals to employees Support IT projects to completion with direction from the Director of Laboratory Information Systems Supports issuing new computer hardware and the disposition of end-of-life equipment Supports IT requirements through direct employee and guest support for remote and on-site staff Perform other related duties as required and identified in goals set by the Director of Laboratory Information Systems Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Minimum 3 years of experience in system administration, network administration or related field, ideally within a healthcare or similarly regulated environment. Demonstrated competence with Microsoft 365 / Entra ID (Azure AD), Active Directory, and MDM solutions Familiarity with Google Workspace Strong troubleshooting and problem-solving skills. A+/Network+/Security+ Certification is preferred · Demonstrate a high degree of integrity, enthusiasm, and initiative daily. Constant adherence to HIPAA compliance and patient confidentiality requirements Please send a cover letter and resume to the Human Resources Director ******************************

Hybrid Salesforce Administrator (Revenue Cloud Focus) Contract Duration: 12 Months (with potential extension) Pay Rate: Up to $120/hour We are seeking an experienced Salesforce Administrator with strong Revenue Cloud (CPQ + Billing) experience to join a fast-paced enterprise team in San Francisco. This hybrid role combines administration, business analysis, and development skills to manage and optimize our Salesforce ecosystem. The ideal candidate will possess a solid understanding of quote-to-cash (Q2C) processes, the ability to translate complex business needs into Salesforce solutions, and hands-on technical expertise across declarative and programmatic tools. Responsibilities Manage day-to-day Salesforce operations, including user management, security, data integrity, and automation. Lead Revenue Cloud initiatives - configuration, pricing, quoting, billing flows, and integration with ERP systems. Collaborate with stakeholders to capture business requirements and document detailed user stories and process flows. Translate business needs into scalable Salesforce solutions across Sales, Service, and Revenue Cloud. Build and maintain Flows, Validation Rules, Reports, Dashboards, and Custom Objects. Support end-to-end Q2C and revenue recognition processes through CPQ and Billing modules. Partner with developers and architects to design and deploy custom Apex solutions when needed. Maintain system documentation and change logs for auditing and SOX compliance. Conduct UAT testing, end-user training, and post-deployment support. Qualifications 7+ years of Salesforce experience, with at least 3+ years in an Admin or Lead Admin capacity. Proven Revenue Cloud / CPQ / Billing implementation experience (required). Strong Business Analysis background - able to capture, document, and communicate requirements across technical and non-technical teams. Developer skills highly preferred (Apex, LWC, SOQL, API integrations). Expertise in Sales, Service, and Revenue Clouds with a deep understanding of data models and governance. Experience in Agile/Scrum environments and working closely with cross-functional teams. Salesforce Admin (ADM-201) required; CPQ and/or Platform App Builder certifications strongly preferred. Contract Details Duration: 12 Months (with possibility of extension) Location: Hybrid - San Francisco, CA (3 days onsite / 2 remote) Rate: Up to $120/hour Start Date: ASAP

Surgery Center Administrator needed for growing Ambulatory Surgery Center! Bonus Incentives and Full Relocation! Surgery Center in which physicians have an ownership or investment interest. This state-of-the-art, multispecialty facility performs procedures in: Orthopedics, Pain Management and Plastic Surgery. 2 Operating Rooms and 1 Treatment Room. Ideal candidate for this role will either have Ambulatory Surgery Center (ASC) leadership experience or hospital surgical leadership experience with ASC exposure. Summary: Responsible for directing, coordinating, and controlling all aspects of the operating functions, processes, and staff of the facility while demonstrating the primary goal of efficiently providing surgical services that exceed customer expectations and improve clinical and financial operations. Qualifications Bachelor's degree or equivalent work experience. Minimum three years of experience in a top administrative or management position either in the ASC or hospital surgical space. Ability to work well with physicians, employees, patients, and others.

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone's best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Position Summary: We are seeking an experienced Physical Security Systems Contractor to provide break-fix support for our enterprise security infrastructure. This role will focus on troubleshooting and resolving issues reported by our Global Security Operations Center (GSOC) team through our Jira ticketing system. The contractor will work on-site in San Francisco with cutting-edge security technologies and coordinate with field integrators to ensure rapid resolution of critical security system issues. Key Responsibilities: Monitor and respond to break-fix tickets in Jira submitted by GSOC team during business hours Perform troubleshooting and diagnostics on physical security systems including: Access Control Systems Video Management Systems (VMS) Visitor Management Systems Network-connected security devices Analyze device and network connectivity issues using system logs and diagnostic tools Determine root cause of system failures and implement software-based solutions when possible Coordinate with field integrators when hardware replacement or on-site intervention is required Provide clear dispatch instructions and technical guidance to integrators Ensure proper resolution validation before integrator departure from site Maintain detailed documentation of troubleshooting steps and resolutions in Jira Escalate complex issues to appropriate vendor support channels when necessary Participate in post-incident reviews to identify preventive measures Required Technology Experience: Video Management: Axis cameras and video solutions, Genetec Security Center VMS, Sureview immersive video management Access Control: Wayvelinx cloud-based access control systems AI/Analytics: Alcatraz.ai facial authentication, Ambient.ai computer vision analytics Network troubleshooting for IP-based security devices Enterprise security system architecture and integration Required Qualifications: Minimum 5 years of hands-on experience with enterprise physical security systems Strong experience with IP networking, VLANs, and network troubleshooting Proficiency with Jira or similar ticketing systems Experience coordinating with field technicians and integrators Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to work independently and manage multiple concurrent issues Must be able to work on-site in San Francisco during standard business hours Reliable transportation to San Francisco location Preferred Qualifications: Industry certifications (e.g., Genetec, Axis, networking certifications) Experience with enterprise-scale deployments Knowledge of cybersecurity best practices for physical security systems Previous GSOC or NOC experience Experience with vendor escalation processes Bay Area experience preferred Key Performance Metrics: Average ticket resolution time First-call resolution rate Customer satisfaction scores from GSOC team Successful integrator dispatch coordination rate Working Conditions: Full-time on-site presence required at San Francisco location Standard business hours: 8:00 AM - 5:00 PM, Monday through Friday Occasional flexibility may be required for critical system issues Professional office environment Compensation Estimated Pay Range: 75K-85K Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

IT Administrator We're looking for an IT Administrator who can take ownership of technical initiatives, deliver executive-level support, and guide the rollout of new systems and applications. This role blends hands-on expertise with leadership, requiring someone who can manage complex projects while keeping communication clear across all levels of the organization. Responsibilities Lead IT projects end-to-end, including planning, vendor coordination, training, and rollout. Provide direct support to executives while ensuring smooth adoption of tools across the company. Manage identity and access through Okta, oversee workflows in Jira/Atlassian, and administer devices with Intune, Kandji, and Automox. Support and maintain SaaS platforms such as Slack, Microsoft 365, Zoom, and others, handling integrations, permissions, and user lifecycle management. Configure and maintain core network services (DNS, DHCP, VPNs), VoIP systems, and A/V conferencing solutions. Evaluate and test emerging technologies, including AI features in collaboration tools, and represent IT in innovation discussions. Mentor junior IT staff, manage escalations, and set standards for timely, high-quality support across mac OS, Windows, and SaaS environments. Deliver training sessions to employees on IT best practices, software tools, and hardware usage. Drive automation and process improvements to streamline workflows and reduce manual intervention. Qualifications 5+ years of IT support experience, including at least 3 years in advanced or lead roles. Strong troubleshooting skills across hardware, software, networking, and SaaS platforms. Proven expertise with MDM platforms (Intune, Kandji, Automox) and endpoint management. Experience managing Microsoft 365, Okta, Slack, Zoom, and other enterprise SaaS ecosystems. Solid understanding of networking protocols and configurations (DNS, DHCP, VPNs, VLANs, firewalls). Demonstrated success in mentoring IT staff, managing escalations, and improving helpdesk workflows. Familiarity with VoIP and A/V systems configuration and troubleshooting. Excellent communication skills, with the ability to explain technical concepts clearly to non-technical users. Security-focused mindset with a drive for automation and continuous improvement. If this sounds like you, apply today!

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Senior Backend Infrastructure Engineer | AI Builder Tools | San Francisco (Hybrid or Onsite) One of the most technically ambitious YC startups I'm partnered with is hiring a Senior Backend Infrastructure Engineer to help productionize and scale their AI-driven builder tools. This isn't a traditional DevOps or SRE position - it's a backend engineering role with deep AWS experience, ideal for someone who loves building, deploying, and scaling systems from the ground up. You'll work directly with the founding team (ex-deep learning, infra, and LLM veterans) to take internal AI builder tools from prototype to production - ensuring they're robust, secure, and infinitely scalable. What You'll Be Doing: Take internal Node.js/TypeScript systems and deploy them to production on AWS Build and manage the infrastructure that powers scalable AI products Productionize backend systems for performance, reliability, and observability Implement containerization (Docker, ECS) and contribute to architecture decisions Work closely with engineers to expose APIs and backend data for front-end integration What They're Looking For: 5+ years of backend software engineering experience (Node.js, TypeScript, APIs) Strong AWS experience (ECS, Lambda, CloudFormation/CDK, etc.) Proven track record deploying and scaling backend systems in production Comfortable with databases, containerization, and CI/CD workflows Experience in startup or small-team environments where you've owned the full lifecycle Nice to Have: Experience with queueing systems (Kafka, SQS) or serverless architectures Background building AI-powered or large-scale web systems Familiarity with performance monitoring and distributed systems You'll be joining a team of world-class engineers obsessed with building high-quality, scalable software - not “vibe-coded” prototypes. If you're an engineer who thrives on ownership, speed, and real impact, this is one to take seriously. Apply I'll reach out with details.

Crossing Hurdles is a global recruitment consultancy partnering with a fast-growing startup focused on tackling end-to end SAP Custom Code Modernization with AI Agents to disrupt a $100 billion industry. Our client has raised $8.5 million in funding to accelerate growth and expand operations. Role - Senior Infrastructure/DevOps Engineer Location - San Francisco, US (Remote) Required Tech Stack - Docker, ECS/Fargate, Terraform, AWS, SAP, OData, OAuth2/OIDC, PostgreSQL, FastAPI Compensation -$150K - $200K+ Equity Benefits - Full health, dental, and vision benefits YOE - 5 - 10 years of experience Overall professional experience in infrastructure engineering and DevOps practices. Requirements: Deploy, configure, and manage customer deployments across environments (Kion, Festo, DTNA, Kyndryl) using container orchestration and Terraform for infrastructure provisioning. Resolve high-impact issues quickly to keep migrations on track. Design, code, and implement improvements based on field insights. Take ownership of infrastructure automation and DevOps practices for secure, efficient deployments. Collaborate with enterprise clients to ensure successful software deployments and integrations. Lead SAP system and OData service integrations with enterprise ERP environments. Roles & Responsibilities: 5-10 years of experience in infrastructure engineering and DevOps, with expertise in enterprise deployments and stringent security/compliance. Background in forward-deployed/solutions engineering and on-prem software deployments, with experience integrating with SAP systems and OData services. Bachelor's degree in Computer Science or related field. Deep expertise in Docker, ECS/Fargate, and Terraform, along with proven AWS experience (ALB, Secrets Manager, S3). Familiarity with secrets management systems (OAuth2/OIDC/SAML, Keycloak), PostgreSQL, WebSocket architectures, and FastAPI in multi-tenant SaaS environments.

We're hiring for our client, a fast-growing voice-AI company based in San Francisco. We seeking a Founding Infrastructure / Platform Engineer to own the cloud, data, and deployment foundations powering next-generation AI systems. You'll design scalable AWS environments, implement Infrastructure-as-Code with Terraform, build secure and observable systems, and collaborate closely with AI/ML engineers to take new models from concept to production. This is an onsite role (5 days a week in San Francisco) and ideal for someone who thrives in a hands-on, high-ownership environment where infrastructure reliability directly drives product quality. What You'll Do Design and operate AWS production infrastructure using Terraform with secure networking, automated rollbacks, and reliable defaults. Build and maintain data pipelines for ingestion, transformation, and model training. Partner with AI/ML teams to deploy and monitor inference and evaluation services in production. Manage PostgreSQL performance and reliability, including schema design, indexing, and pgvector for ML workloads. Own CI/CD workflows and environment hygiene using GitHub Actions or similar. Implement robust observability across services and data jobs (metrics, tracing, alerting, and incident response). Drive cost-efficient scaling while maintaining performance and uptime across systems. Collaborate cross-functionally to ensure infrastructure aligns with product and ML goals. What We're Looking For 6-10+ years in Infrastructure, Platform, or SRE roles with full production ownership. Deep expertise with AWS and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation). Strong programming skills in Python or TypeScript, with scripting experience (Bash/YAML). Proven experience with containers and orchestration (Docker, Kubernetes, or ECS). Hands-on experience designing and maintaining data pipelines (batch or streaming). PostgreSQL at scale, ideally with exposure to embeddings or pgvector. Strong observability and on-call practices (metrics, tracing, alerting, incident management). Excellent collaboration with AI/ML and product teams; clear communication of risk and trade-offs. Must be authorised to work in the U.S. and able to work onsite in San Francisco. Nice to Have Experience supporting ML model training and inference pipelines. Prior work with low-latency systems, voice interfaces, or recommendation engines. History as an early infrastructure owner at a Seed to Series B startup. Why This Role You'll be joining as a founding-calibre engineer, shaping the infrastructure blueprint that supports advanced AI matching and voice systems. Expect autonomy, direct collaboration with technical founders, and the chance to build scalable, high-impact systems from the ground up.

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we're building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Forward Deployed Engineer to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle-from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions Conduct training sessions and develop enablement materials tailored to customer needs Proactively identify opportunities for customers to maximize platform value Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support Provide hands-on support for solution setup and configuration within customer environments Support API and system integrations with existing customer infrastructure Diagnose and resolve technical issues, collaborating with engineering teams on complex problems Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support Support the sales team with domain expertise and technical credibility Demonstrate technical capabilities and solution fit during the sales process Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration Gather customer feedback and relay insights to product and engineering teams Reduce workload on core engineering teams by handling customer-facing technical work Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking) Proficiency with Kubernetes for deploying, scaling, and managing containerized applications Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: Experience with additional programming languages (PyTorch, Rust, Go) Familiarity with cloud platforms (AWS, Azure, GCP) Experience with OpenStack and/or Slurm Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching) Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand) Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks Experience with kernel debugging Experience with LLM deployments, even at small scale Background in infrastructure design, SLAs, system design, and incident response Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks -because great work deserves great rewards. Work on your terms - flexible hours and remote-friendly culture. Fast lanes, no red tape - flat hierarchies and rapid decision-making Make it happen - your ideas aren't just heard - they become reality. Right place, right time -be part of our growth story and build a career-defining legacy. Globality design - work with a diverse, international team across Germany and the US. Work with the best - work alongside exceptional engineers and raise the bar together. Turbalance is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

Forward Deployed Engineer (AI Infrastructure) $80,000 - $120,000 + Equity + Benefits + PTO San Francisco, CA - Onsite (6 days/week) Are you an engineer who loves solving complex, real-world problems directly with customers? Do you want to work hands-on deploying cutting-edge AI infrastructure used by developers and enterprises around the world, whilst continuing to develop both your technical and client-facing skillsets. This is a rare opportunity to join a profitable, fast-growing AI startup at the heart of the LLM ecosystem. The team is building a unified platform that lets developers call any large language model - from OpenAI and Anthropic to Mistral and Hugging Face - through a single, standardized API. The SDK eliminates vendor lock-in, supports caching, logging, streaming, and integrates seamlessly with frameworks like LangChain and LlamaIndex. Founded in 2023 and already profitable with $2.5M ARR (targeting $10M by mid-2026), the company is looking for its first Forward Deployed Engineer. someone who thrives at the intersection of customer success, engineering, and systems design. You'll work closely with customers to deploy, optimize, and troubleshoot the platform in production environments while shaping the product roadmap based on real-world insights. You'll report directly to the CTO and operate as a key technical partner to clients, ensuring smooth integrations, rapid debugging, and performance tuning across infrastructure, backend, and frontend layers. Expect deep technical ownership, customer-facing impact, and the chance to build the foundation of a company defining AI interoperability. If you want to join a tight-knit, high-caliber team where your code and customer instincts both matter, whilst continuing to develop your skillsets The Role Deploy, configure, and optimize customer environments for reliability, performance, and scalability. Troubleshoot and resolve complex full-stack issues across infrastructure, backend (FastAPI/Python), and frontend (React/Next.js). Collaborate directly with customer engineering teams on implementations, migrations, and custom integrations. Act as the technical voice of the customer - building tools, contributing fixes, and feeding insights back to product and engineering. The Person Experience with production-grade full-stack systems. Strong in Python and FastAPI; React/Next.js and TypeScript familiarity a plus. Hands-on problem solver who enjoys debugging, building, and iterating directly with users. Strong communicator who thrives in dynamic, customer-facing environments. Excited to work in an early-stage, high-autonomy and feedback focused culture. Happy to work on-site in San Francisco

The Role: The IT Operations team designs, builds, and maintains the corporate technology infrastructure that powers our people and systems. We're seeking a highly skilled and proactive IT Support Engineer Lead to provide advanced technical support, strategic guidance, and hands-on leadership across our distributed workforce and helpdesk operations. In this role, you will oversee the deployment, configuration, and optimization of hardware and software solutions while ensuring reliability, security, and scalability. You'll play a key role in designing and implementing performance enhancements, streamlining IT operations through automation, and guiding the team toward best-in-class service delivery. Location: This role requires a hybrid work schedule, with 2-3 days per week in our San Francisco, CA office to foster collaboration and teamwork. Responsibilities: Lead and mentor the IT support team, setting standards for timely, high-quality technical assistance across mac OS, Windows, and SaaS platforms. Develop and execute strategies for end-user support, device configuration, and system maintenance to improve reliability and user experience. Administer and manage devices using MDM tools such as Intune, Kandji, and Automox, ensuring compliance and security standards are maintained. Manage and support critical SaaS platforms including Slack, Microsoft 365, Atlassian, Okta, and Zoom, handling integrations, permissions, and user lifecycle management. Configure and maintain core network services (DNS, DHCP), VoIP systems, and A/V confe rencing solutions to enable seamless collaboration. Collaborate cross-functionally with other teams to identify technical improvements, contribute to architectural decisions, and support organizational initiatives. Design and deliver training sessions for employees on software tools, hardware usage, and IT best practices to foster self-sufficiency and adoption. Drive automation and process improvement initiatives to increase efficiency and reduce manual intervention across IT workflows. Qualifications: 5-8 years of IT support experience in a fast-paced, dynamic environment, including 3+ years in a Lead or Level 2 role. Deep expertise with MDM platforms (Intune, Kandji) and endpoint management. Strong hands-on skills in hardware, software, and network troubleshooting, with a structured and analytical problem-solving approach. Experience managing Microsoft 365, Okta, and other SaaS ecosystems at scale. Solid understanding of networking protocols and configuration (DNS, DHCP, VPNs, VLANs, firewalls). Demonstrated success in mentoring junior IT staff, managing escalations, and improving helpdesk workflows. Familiarity with VoIP and A/V systems configuration and troubleshooting. Excellent communication and documentation skills, with the ability to translate technical concepts for non-technical users. A mindset focused on security, automation, and continuous improvement. Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication

is not available to 3rd parties, C2C, or Consulting firms. Our client in the Wine Industry is seeking a Network Administrator, located in Mendocino County. The Network Administrator will play a crucial role in building, optimizing, maintaining, and supporting their company's IT and OT infrastructure. This position involves assisting with the daily administration of their network, servers, user endpoints, and critical operational technology systems that keep their bottling lines running. You will gain hands-on experience across a wide range of technologies, including Azure Cloud, Cisco Meraki Wi-Fi, Microsoft Office 365, Entra ID, Active Directory, various operating systems, and the network aspects of their plant floor OT systems. This role offers significant learning opportunities in a unique manufacturing setting. Responsibilities: 1. Network Support & Maintenance: o Assist in monitoring, managing, and troubleshooting the VMWare, Windows Servers, Cisco Meraki Wi-Fi network infrastructure across office and production areas. o Help maintain wired network connectivity (switches, cabling, patch panels). o Respond to network-related alerts and perform basic diagnostics (ping, traceroute, DNS checks, DHCP verification). o Assist with basic configuration changes on network devices . o Support network connectivity for OT devices on the plant floor (PLCs, HMIs, SCADA systems, sensors, line controllers). 2. Project Management: o Oversee site specific IT projects to ensure timely completion and alignment with company goals. This includes managing resources, setting milestones, and tracking progress. o Develop and maintain project documentation, including project plans, schedules, and status reports. o Manage vendor relationships and ensure that external services and products meet project requirements. o Ensure compliance with company policies and industry standards throughout the project lifecycle. Systems Administration: o Provide Tier 2 support for Windows Desktop and Server Operating Systems o Azure Cloud Administration and best practice design for growth o Perform user account management within Active Directory (creating users/groups, password resets, group policy application). o Assist with user and device management within Microsoft Entra ID (formerly Azure AD) and support hybrid identity synchronization. o Support the Microsoft Office 365 suite (Exchange Online, Teams, SharePoint, OneDrive) including user administration and basic troubleshooting. o Assist with server backups, patching, and routine system maintenance tasks. 5. User & End-Point Support: o Provide timely and effective technical support to end-users for hardware, software, and network issues via phone, email, or in-person. o Install, configure, and troubleshoot desktops, laptops, printers, mobile devices, and peripherals. o Assist with software deployment and updates. 6. Documentation & Inventory: o Maintain accurate documentation of network configurations, procedures, and IT/OT assets. o Assist with IT hardware and software inventory management. Required Qualifications: • College degree in Information Technology, Computer Science, or a related field, OR equivalent combination of education, certifications (e.g., CompTIA Network+, A+), and work experience. • 3-7 years of experience in an IT support role (Help Desk, Desktop Support, IT Technician). • Fundamental understanding of networking concepts (TCP/IP, DNS, DHCP, VLANs, WiFi principles). • Experience managing Windows Operating Systems (Desktop and/or Server). • Familiarity with Entra and Active Directory user and group management. • Exposure to Microsoft Office 365 administration. • Hands-on experience with Cisco Meraki dashboard (monitoring, basic configuration). • Experience with Microsoft Entra ID (Azure AD) concepts or administration. • CompTIA Network+, Security+, CCST, or Microsoft certifications (e.g., AZ-900, MD-102). • Basic scripting knowledge (PowerShell). • Familiarity with virtualization concepts (VMware, Hyper-V). • Experience working in a manufacturing or industrial environment. • Understanding of basic IT security principles. • Exposure to OT systems (PLCs, SCADA, HMIs) or industrial networking is a strong plus.

Crossing Hurdles is a global recruitment consultancy firm that assists our clients to hire best talent. About the Company: It is a cutting-edge AI organization focused on end-to-end SAP custom code modernization, aiming to transform a $100B industry through advanced AI agents. The foundation is built by leading AI researchers, seasoned repeat entrepreneurs, and one of the inventors behind SAP HANA. They're on a mission to eliminate technical debt for Fortune 500 companies and solve some of the most pressing challenges faced by the world's largest enterprises. Join us if you're driven to build impactful technology at massive scale. Location: San Francisco (Onsite, 5x in a week) Compensation: $150k - $200k per annum Benefits: Equity Years of Experience: 5 - 10+ years of experience. Overall professional experience in infrastructure engineering and DevOps practices. Experience with enterprise deployments and stringent security/compliance. Experience integrating with SAP systems and OData services. Experience managing multi- tenant SaaS in production AWS/hyperscaler environments. Roles & Responsibilities: Own end-to-end deployment, configuration, and management of customer environments using Docker, ECS/Fargate, and Terraform-based IaC. Execute and oversee complex multi-tenant SaaS deployments, ensuring reliability, scalability, and security across diverse client environments. Troubleshoot and resolve high-impact infrastructure issues with speed and precision to maintain deployment timelines and customer commitments. Drive continuous improvements by feeding field learnings directly into core platform architecture, automation, and deployment tooling. Collaborate closely with enterprise customers to support integrations, enforce security/compliance best practices, and ensure smooth go-lives. Lead infrastructure automation initiatives to standardize deployment patterns, reduce operational overhead, and improve overall system resilience. Work with SAP landscapes, OData services, and enterprise ERP systems to enable seamless integration with customer workflows and modernization pipelines. Tech stack : Docker, ECS/Fargate, Terraform, AWS, ALB/Target Groups, Secrets Manager, S3, Docker Compose, OAuth2/OIDC/SAML, Keycloak, PostgreSQL, WebSocket architectures, FastAPI, SAP, OData

Senior Backend Infrastructure Engineer | AI Builder Tools | San Francisco (Hybrid or Onsite) One of the most technically ambitious YC startups I'm partnered with is hiring a Senior Backend Infrastructure Engineer to help productionize and scale their AI-driven builder tools. This isn't a traditional DevOps or SRE position - it's a backend engineering role with deep AWS experience, ideal for someone who loves building, deploying, and scaling systems from the ground up. You'll work directly with the founding team (ex-deep learning, infra, and LLM veterans) to take internal AI builder tools from prototype to production - ensuring they're robust, secure, and infinitely scalable. What You'll Be Doing: Take internal Node.js/TypeScript systems and deploy them to production on AWS Build and manage the infrastructure that powers scalable AI products Productionize backend systems for performance, reliability, and observability Implement containerization (Docker, ECS) and contribute to architecture decisions Work closely with engineers to expose APIs and backend data for front-end integration What They're Looking For: 5+ years of backend software engineering experience (Node.js, TypeScript, APIs) Strong AWS experience (ECS, Lambda, CloudFormation/CDK, etc.) Proven track record deploying and scaling backend systems in production Comfortable with databases, containerization, and CI/CD workflows Experience in startup or small-team environments where you've owned the full lifecycle Nice to Have: Experience with queueing systems (Kafka, SQS) or serverless architectures Background building AI-powered or large-scale web systems Familiarity with performance monitoring and distributed systems You'll be joining a team of world-class engineers obsessed with building high-quality, scalable software - not “vibe-coded” prototypes. If you're an engineer who thrives on ownership, speed, and real impact, this is one to take seriously. Apply I'll reach out with details.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we're building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Forward Deployed Engineer to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle-from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions Conduct training sessions and develop enablement materials tailored to customer needs Proactively identify opportunities for customers to maximize platform value Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support Provide hands-on support for solution setup and configuration within customer environments Support API and system integrations with existing customer infrastructure Diagnose and resolve technical issues, collaborating with engineering teams on complex problems Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support Support the sales team with domain expertise and technical credibility Demonstrate technical capabilities and solution fit during the sales process Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration Gather customer feedback and relay insights to product and engineering teams Reduce workload on core engineering teams by handling customer-facing technical work Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking) Proficiency with Kubernetes for deploying, scaling, and managing containerized applications Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: Experience with additional programming languages (PyTorch, Rust, Go) Familiarity with cloud platforms (AWS, Azure, GCP) Experience with OpenStack and/or Slurm Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching) Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand) Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks Experience with kernel debugging Experience with LLM deployments, even at small scale Background in infrastructure design, SLAs, system design, and incident response Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks -because great work deserves great rewards. Work on your terms - flexible hours and remote-friendly culture. Fast lanes, no red tape - flat hierarchies and rapid decision-making Make it happen - your ideas aren't just heard - they become reality. Right place, right time -be part of our growth story and build a career-defining legacy. Globality design - work with a diverse, international team across Germany and the US. Work with the best - work alongside exceptional engineers and raise the bar together. Turbalance is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

Forward Deployed Engineer (AI Infrastructure) $80,000 - $120,000 + Equity + Benefits + PTO San Francisco, CA - Onsite (6 days/week) Are you an engineer who loves solving complex, real-world problems directly with customers? Do you want to work hands-on deploying cutting-edge AI infrastructure used by developers and enterprises around the world, whilst continuing to develop both your technical and client-facing skillsets. This is a rare opportunity to join a profitable, fast-growing AI startup at the heart of the LLM ecosystem. The team is building a unified platform that lets developers call any large language model - from OpenAI and Anthropic to Mistral and Hugging Face - through a single, standardized API. The SDK eliminates vendor lock-in, supports caching, logging, streaming, and integrates seamlessly with frameworks like LangChain and LlamaIndex. Founded in 2023 and already profitable with $2.5M ARR (targeting $10M by mid-2026), the company is looking for its first Forward Deployed Engineer. someone who thrives at the intersection of customer success, engineering, and systems design. You'll work closely with customers to deploy, optimize, and troubleshoot the platform in production environments while shaping the product roadmap based on real-world insights. You'll report directly to the CTO and operate as a key technical partner to clients, ensuring smooth integrations, rapid debugging, and performance tuning across infrastructure, backend, and frontend layers. Expect deep technical ownership, customer-facing impact, and the chance to build the foundation of a company defining AI interoperability. If you want to join a tight-knit, high-caliber team where your code and customer instincts both matter, whilst continuing to develop your skillsets The Role Deploy, configure, and optimize customer environments for reliability, performance, and scalability. Troubleshoot and resolve complex full-stack issues across infrastructure, backend (FastAPI/Python), and frontend (React/Next.js). Collaborate directly with customer engineering teams on implementations, migrations, and custom integrations. Act as the technical voice of the customer - building tools, contributing fixes, and feeding insights back to product and engineering. The Person Experience with production-grade full-stack systems. Strong in Python and FastAPI; React/Next.js and TypeScript familiarity a plus. Hands-on problem solver who enjoys debugging, building, and iterating directly with users. Strong communicator who thrives in dynamic, customer-facing environments. Excited to work in an early-stage, high-autonomy and feedback focused culture. Happy to work on-site in San Francisco