Cloud Infrastructure Engineer

About Us:At novita-ai, we are a rapidly growing global provider of AI cloud infrastructure, leading the charge in the artificial intelligence revolution. Our innovative platform equips developers and enterprises with powerful, scalable, and user-friendly solutions such as Model APIs, GPU Instances, and Serverless Computing. As organizations around the globe strive to integrate AI into their offerings, we serve as the essential engine that fuels their innovative efforts.Join our world-class team and contribute to our expanding customer base. This unique opportunity allows you to be part of a dynamic company in a hyper-growth market, where your technical skills will directly impact customer success and drive our business forward.The Role:As a Solutions Engineer, you will act as the primary technical leader and trusted advisor for our clients throughout their journey. You will collaborate closely with the sales team to bridge the gap between complex customer challenges and our sophisticated technical solutions. Your mission is to build technical credibility, demonstrate the capabilities of our platform, and design tailored solutions that empower our clients to achieve their AI-related business objectives.What You'll Do:Technical Discovery & Solution Design: Collaborate with Account Executives to gain a deep understanding of customer needs, technical requirements, and business goals. Develop elegant and effective solutions utilizing our AI infrastructure stack (Model APIs, GPU Instances, Serverless).Product Demonstration & Proof of Concept (POC): Conduct engaging, customized product demonstrations and interactive workshops. Plan, manage, and execute successful POCs, showcasing the value and performance of our platform within the client’s environment.Technical Evangelism & Trusted Advisory: Communicate the value proposition of our platform to diverse audiences, including both technical and non-technical stakeholders, from engineers to C-level executives. Establish yourself as the go-to expert for customers on best practices in AI infrastructure.Sales Enablement & Market Feedback Loop: Create and maintain technical sales materials, including whitepapers, best practice guides, and demo scripts. Serve as the voice of the customer, relaying valuable feedback from the field to our Product and Engineering teams to influence our product roadmap.Onboarding & Implementation Guidance: Facilitate a seamless post-sales transition by providing initial onboarding support and architectural guidance, setting customers up for sustained success.

About UsAt Lavendo, we are at the forefront of AI cloud infrastructure, rapidly expanding with a significant global presence that includes R&D centers in North America, Europe, and Israel. Our exceptional team of engineers and AI researchers is dedicated to creating innovative solutions that provide the essential infrastructure for the next wave of AI-driven enterprises.We empower organizations, from Fortune 500 companies to pioneering AI startups and research institutions, allowing them to address complex AI challenges without incurring heavy infrastructure costs or the need to develop extensive in-house AI/ML teams.Our MissionWe aim to democratize access to top-tier AI infrastructure, enabling organizations of all sizes to transform ambitious AI goals into tangible outcomes. Our culture fosters creativity, embraces challenges, and thrives on teamwork.Your RoleAs a Cloud Solutions Architect (Pre-Sales), you will serve as a vital technical partner to some of the most forward-thinking AI teams globally. You will engage directly with cutting-edge GPU infrastructure, including the latest NVIDIA technology, to assist clients in designing, deploying, and optimizing AI workloads at scale. This high-profile position lies at the intersection of deep technical expertise and strategic customer interaction, significantly shaping customer experiences and platform adoption.Key ResponsibilitiesAct as a trusted technical advisor to customers throughout the entire pre-sales and onboarding process.Lead proof-of-concept initiatives, architectural workshops, presentations, and training on GPU cloud technologies and industry best practices.Work closely with customers to understand their business needs and translate them into scalable solution architectures.Develop and document Infrastructure as Code solutions, reference architectures, and technical guides in collaboration with support engineers and technical writers.Assist clients in optimizing machine learning pipeline performance and resource efficiency.Serve as a cross-functional technical expert, connecting product, technical support, and marketing teams with customer requirements.Represent Lavendo at external events, including hackathons, conferences, and industry showcases.

About the CompanyLavendo is a pioneering publicly traded company leading the charge in the AI revolution. With an AI-centric cloud platform, we are transforming the artificial intelligence landscape. Our state-of-the-art infrastructure, including extensive GPU clusters and advanced cloud services, supports developers in harnessing the explosive growth of the global AI industry, catering to Fortune 1000 firms, innovative startups, and AI researchers alike.Company type: Publicly tradedIndustry: AI/ML, Cloud Computing, Infrastructure-as-CodeCandidate Location: Remote U.S.Our mission is to democratize AI infrastructure access and empower organizations to innovate, optimize, and deploy AI solutions seamlessly at any scale. By simplifying the complexities of AI development, we provide a comprehensive full-stack AI platform that marries robust hardware with easy-to-use tools and services.The OpportunityWe are on the lookout for a Senior AI/ML Specialist Solutions Architect to become a crucial part of our client's dynamic team. This role presents an exciting opportunity to design and implement scalable AI solutions tailored for AI-centric clients, leveraging cutting-edge technologies and contributing to one of the most powerful commercially available supercomputers.What You'll DoArchitect and enhance distributed training and inference systems for large-scale AI models.Design and deliver customer-centric solutions that optimize performance and drive business value.Lead the migration of ML pipelines from Proof of Concept to scalable production environments.Foster long-term relationships with clients, ensuring satisfaction and alignment with their strategic objectives.Produce whitepapers, conduct technical presentations, and facilitate webinars to disseminate insights and best practices.Provide technical guidance and mentorship to teams regarding AI infrastructure and deployment strategies.Collaborate with engineering and product teams to prioritize customer feedback and shape product roadmaps.

Join Our MissionAt Hyperbolic Labs, we are dedicated to democratizing artificial intelligence by eliminating barriers to computing power through our Open-Access AI Cloud. We aggregate global computing resources to provide an innovative GPU marketplace and AI inference service, making AI affordable and accessible for everyone. As pioneers at the crossroads of AI and open-source technology, we envision a future where AI innovation is driven by imagination, not resource limitations. We invite forward-thinking individuals who share our vision of making AI universally accessible, secure, and cost-effective to join us in crafting a platform that empowers innovators to realize their groundbreaking AI projects.As we gear up for expansion following our Series A funding, our team, led by co-founders with PhDs in AI, Mathematics, and Computer Science, is set to transform the landscape of computing.The RoleWe are on the lookout for a Senior Infrastructure Engineer to drive the development and scaling of Hyperbolic's GPU Cloud Marketplace. In this pivotal role, you will create a multi-tenancy provisioning and virtualization solution that transforms raw GPUs from diverse global suppliers into a programmable, orchestrated resource pool serving thousands of AI developers and researchers. You will work at the forefront of cloud infrastructure, building the core orchestration layer that allows our platform to deliver cost savings of up to 75% compared to traditional cloud providers.

Future builds digital personal training experiences that connect people with expert coaches through a seamless app. Since 2017, the company has grown from an idea in a San Francisco café to the largest provider of personal training sessions in the US. In January 2025, Future merged with Autograph, founded by Tom Brady, and is expanding its reach through new partnerships and AI-driven coaching tools. Future continues to invest in technology, grow its coaching roster, and form partnerships with leading athletes. The team is focused on shaping the future of fitness by making expert coaching accessible to more people. Role overview This remote Cloud Infrastructure Engineer position centers on designing, building, and maintaining the cloud platform that underpins Future’s products. The role is hands-on and impacts daily operations for engineering teams, focusing on reliability, security, and efficiency. What you will do Develop and maintain infrastructure-as-code best practices using AWS CDK, keeping cloud resources version-controlled, repeatable, and peer-reviewed. Design and manage AWS infrastructure components, such as ECS, RDS Aurora, API Gateway, S3, and networking, with attention to reliability, performance, and cost efficiency. Build and support an observability stack, including structured logging, distributed tracing, and monitoring, to provide insights into system performance. Requirements Strong experience with AWS and a focus on building resilient, automated systems. Commitment to operational excellence, security, and cost efficiency. Emphasis on enabling engineering teams to deliver work quickly and confidently.

Scale AI is on the lookout for an exceptionally talented and driven Software Engineer, Frontier AI Infrastructure to become an integral part of our innovative Public Sector Engineering team. In this role, you will take charge of the model inference layer, enabling cutting-edge AI models, troubleshooting the latest AI tools, managing networking tasks, addressing latency issues, and monitoring pricing and usage metrics for AI models. You will spearhead technical discussions with cloud vendors and clients to fulfill critical contracts and resolve platform challenges. Additionally, you will collaborate closely with Product teams to anticipate feature requirements, transitioning from reactive 'infra-only debugging' to proactive integration testing.Your Responsibilities Include:Designing and implementing secure, scalable backend systems tailored for Public Sector clients, utilizing Scale's advanced cloud-native AI infrastructure.Owning services or systems while defining long-term health objectives and enhancing the health of related components.Redesigning the architecture to operate in compliant or restrictive environments, which entails creating swappable components (authentication, storage, logging) to adhere to government and security regulations without compromising product integrity.Collaborating with Product teams to develop integration tests that identify issues early, shifting focus from 'infra-only debugging' to preventing upstream failures.Actively participating in customer engagements, liaising with stakeholders to comprehend requirements and deliver innovative solutions.Contributing to the platform roadmap and product strategy for Scale AI's Public Sector division, playing a vital role in shaping the future trajectory of our offerings.

Lambda, recognized as The Superintelligence Cloud, is a pioneering force in AI cloud infrastructure, empowering tens of thousands of customers, from AI researchers to large enterprises and hyperscalers. Our mission is to make computational power as accessible as electricity, providing everyone the capability of superintelligence—one person, one GPU.Join us in our quest to build the world’s leading AI cloud platform.Note: This role mandates in-office presence in our San Francisco location four days a week; Lambda’s designated remote work day is Tuesday.As an Engineering Manager at Lambda, you will lead the charge in developing and scaling our cloud offerings, which encompass the Lambda website, cloud APIs, and internal tools for deployment, management, and maintenance.

About Crusoe Energy Systems Crusoe Energy Systems manages every layer of AI infrastructure, from energy generation to advanced computational resources. The team focuses on making AI infrastructure more efficient and environmentally conscious, addressing the growing global demand for computing power. Based in San Francisco, Crusoe brings together experts in energy, manufacturing, data center construction, and cloud services. Role Overview: Senior Software Engineer - Cloud Infrastructure This Senior Software Engineer position centers on designing and building cloud infrastructure management systems for Crusoe Cloud, a vertically integrated, AI-focused platform. The engineer will help deliver complete solutions that support the company’s business goals, including system planning, monitoring, deployment, and operations. The role involves hands-on work developing platforms, tools, and frameworks that emphasize reliability, scalability, operational efficiency, and ease of use. As Crusoe Cloud grows, this engineer will play a key part in streamlining infrastructure planning and management processes. What You Will Do Work closely with cross-functional teams to design and implement infrastructure management software and availability platforms for customers using Crusoe’s AI infrastructure. Help improve the reliability, scalability, and security of systems and platforms. Develop workflows that support business objectives and performance targets. Build and maintain high-performing, highly available cloud solutions to meet expanding infrastructure needs. Who Thrives Here Engineers who enjoy solving complex problems, move quickly, and want to work alongside a diverse, supportive team will find this role rewarding. Crusoe values collaboration and a shared drive to advance AI infrastructure. Location San Francisco, CA - US

About the Role mercor is hiring a Cloud Infrastructure Security Engineer in San Francisco or New York City. This role focuses on protecting cloud-based systems and data across the company. The engineer will design, implement, and monitor security controls to defend cloud infrastructure against threats. What You Will Do Develop and maintain security measures for cloud environments Monitor cloud infrastructure for vulnerabilities and incidents Respond to security threats and support incident investigations Work to ensure compliance with industry security standards Contribute expertise to strengthen overall security posture Location This position is based in San Francisco or New York City.

Join Our Innovative TeamThe Applied Engineering team at OpenAI is dedicated to bridging the gap between research, engineering, product, and design, delivering cutting-edge AI technology to consumers and businesses alike.As a pivotal member of our team, you will manage the core infrastructure that underpins products such as ChatGPT and our API. This includes overseeing our Kubernetes clusters, infrastructure deployment, networking stack, cloud abstractions, and more.Our mission is to learn from our deployments and ensure the responsible and safe use of AI technology. We place a higher priority on safety than on unchecked growth.About Your RoleAs a vital contributor to the cloud infrastructure team, you'll be responsible for constructing and maintaining infrastructure abstractions that facilitate swift and scalable product delivery.This position is based in our San Francisco, CA office.Your Responsibilities:Architect and develop robust development and production platforms that ensure reliability and security at scale.Optimize our infrastructure for scalability to meet future demands.Foster a diverse, equitable, and inclusive work culture that encourages open communication and challenges conventional thinking.Participate in an on-call rotation to maintain the reliability of the systems we build and respond to critical incidents as necessary.You Will Excel in This Position If You:Possess over 5 years of experience in building core infrastructure.Have extensive experience with orchestration systems such as Kubernetes at scale.Are skilled in creating abstractions over cloud platforms.Take pride in developing and managing scalable, reliable, and secure systems.Thrive in environments characterized by ambiguity and rapid change.This role is exclusively located at our San Francisco headquarters. We offer relocation assistance to qualified candidates.

Role Overview mercor is hiring a Cloud Infrastructure Security Engineer in San Francisco. This role focuses on protecting cloud systems, maintaining data integrity, and applying security protocols to guard against new threats. Collaboration with cross-functional teams is central to designing and maintaining secure cloud environments.

Genesis Molecular AI is building the GEMS molecular AI platform, driving advances in foundation model training and industrial screening. Strategic partnerships and a strong compute infrastructure are central to the company’s growth and mission. Role Overview The Director of AI Infrastructure Partnerships will lead efforts to secure and manage critical technology alliances, investments, and compute resources. This leader will work closely with top AI organizations, hardware providers, and investors, including firms like a16z and NVIDIA, to support Genesis’s technical and business goals. The role is based in either New York City or the San Francisco Bay Area. What You Will Do Oversee partnerships with NVIDIA and identify new opportunities with leading AI organizations. Structure contracts, equity deals, technical collaborations, co-publications, and data-sharing agreements for both public and proprietary experimental and synthetic data. Create presentations and written materials that clearly communicate Genesis’s platform vision and technical strengths to partners and investors, and integrate these messages into broader external communications. Serve as the business lead and chief negotiator for major cloud computing and AI infrastructure deals. Secure high-performance compute at competitive rates and maintain strong relationships with key partners. Monitor the AI compute market, evaluating providers for cost, reliability, and availability to support research and deployment needs. Work with ML Engineering to forecast compute requirements for model training, synthetic data generation, fine-tuning, and large-scale inference. Optimize performance and budget across multiple cloud environments and track usage to maximize value. Manage the internal budgeting process for compute spend. Translate technical needs into financial forecasts and present capital allocation recommendations to company leadership. What We’re Looking For Significant experience in AI and cloud computing, including managing high-value negotiations and partnerships. Strong analytical and strategic skills, with the ability to assess market trends and make informed decisions. Excellent communication and interpersonal abilities, comfortable explaining complex topics to a range of audiences.

Join Scale AI's innovative team as an Infrastructure Software Engineer for our Enterprise Generative AI Platform (SGP). In this dynamic role, you will help design and enhance our enterprise-grade AI platform, which offers robust APIs for knowledge retrieval, inference, evaluation, and more. We're seeking an exceptional engineer who thrives in fast-paced environments and is eager to contribute to the scaling of our core infrastructure. The ideal candidate will possess a solid foundation in software engineering principles and extensive experience with large-scale distributed systems. Your role will involve implementing solutions across various cloud providers (GCP, Azure, AWS) for clients in highly regulated sectors, including healthcare, telecommunications, finance, and retail.

About ValonValon is pioneering the AI-native operating system tailored for regulated finance, starting with mortgage servicing. We are a Series C company, supported by a16z, revolutionizing industries that have long been deemed too complex for innovation. Instead of layering solutions on antiquated systems, we created and operate a mortgage servicing business managing over $110 billion in loans, giving us an intimate understanding of the intricacies necessary to develop effective software for regulated sectors.Our achievements are impressive; we have transformed mortgage servicing from a business with 0% margins to one that boasts margins exceeding 60%, all while significantly enhancing customer experiences. Major enterprise contracts are now being deployed across the industry.ValonOS, our unified platform, standardizes and automates every process, making it ideally suited for the AI era. With rich data flowing through a single system, AI agents not only automate tasks but also continually enhance overall operations. Mortgage servicing is just the starting point of our vision to revolutionize regulated industries and beyond.Engineering at ValonOur engineering team drives a modern software ecosystem aimed at disrupting one of the most outdated and heavily regulated sectors in finance: mortgage servicing. We have laid the groundwork for a scalable platform capable of managing billions in assets with precision and reliability. Our current focus is on scaling infrastructure, improving developer experiences, and building high-leverage systems that facilitate rapid product iterations and long-term growth. We are a close-knit, high-agency group of engineers from companies like Stripe, Jane Street, Meta, and Google, all striving to accomplish the best work of our careers—together.While our headquarters are located in New York City, we are also opening a new office in San Francisco this year and fully support remote work.About the RoleWe are seeking an Engineering Manager to spearhead our Cloud Infrastructure initiatives within the Platform team. In this role, you will lead and expand a high-impact team responsible for the foundational infrastructure that powers all of Valon’s products. You will oversee our production systems (compute, databases, storage, and networking) to ensure our platform remains scalable, secure, and reliable. We currently manage over 100 million background jobs daily and anticipate scaling by over 10x within the next two years. Upcoming projects include:Implementing new data stores to support our growth: Vitess, Clickhouse, Redis.Enhancing our batch processing control capabilities.

Join Our Mission at WatershedWatershed is a pioneering enterprise sustainability platform, trusted by industry leaders such as Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens. Our platform empowers organizations to manage climate and ESG data effectively, generate audit-ready metrics for voluntary and regulatory compliance including CSRD, and actively pursue significant decarbonization efforts. We are seeking passionate team members who are eager to contribute to product development in a mission-driven startup environment, and who are excited to help shape a thriving team culture.With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a robust remote workforce across the US and Europe, we aim to create a dynamic and inclusive workplace that welcomes your participation!Your RoleAre you passionate about developing both cutting-edge technology and high-performing teams? Watershed is scaling its world-class engineering team, and we’re looking for an Engineering Manager to lead our Cloud Infrastructure team. This team plays a critical role in enabling our growth by managing the foundational infrastructure that supports Watershed’s multi-region deployments on GCP.We seek a leader who will articulate an inspiring vision for the team, tackle a diverse array of complex challenges, and empower each engineer to achieve their best work. As one of the initial managers in a rapidly growing organization, you will not only influence engineering culture but also the broader culture at Watershed. Together with our leadership and HR teams, you will help foster a diverse, inclusive, and dedicated workforce.Key ResponsibilitiesLead the Cloud Infrastructure team as the primary manager, balancing people management, technical leadership, and product strategy.Inspire and guide the team through significant growth phases ($100M+), including recruiting new talent and adapting the team's vision and objectives as business needs evolve.Collaborate closely with engineering peers and cross-functional partners, including Security and Finance, to align direction, set priorities, and ensure seamless collaboration.

Role overview Crusoe Energy Systems, Inc. seeks a Staff Cloud Infrastructure Engineer to shape and support its cloud infrastructure, with a primary focus on VMware environments. This position is located in San Francisco, CA. What you will do Design, implement, and maintain scalable cloud infrastructure using VMware technologies. Work closely with team members to support cloud operations for Crusoe's energy solutions. Apply technical expertise to improve reliability and efficiency throughout cloud systems. The team Join a group of engineers committed to building and maintaining cloud platforms that support innovative energy projects.

About Prime Intellect Prime Intellect builds the backbone for advanced AI labs, delivering infrastructure that supports the next generation of artificial intelligence. Our platform, Lab, brings together environments, evaluations, sandboxes, and high-performance training into one unified system for post-training at scale. Teams use Lab for Reinforcement Learning (RL), Supervised Fine-Tuning (SFT), tool integration, agent workflows, and deployment. We rely on our own technology to train leading-edge models, ensuring our clients benefit from proven solutions. Prime Intellect recently raised $15 million in new funding, bringing our total to $20 million. Investors include Founders Fund, Menlo Ventures, and notable angels such as Andrej Karpathy, Tri Dao, and Dylan Patel. Role Overview: Solutions Architect - AI Infrastructure This San Francisco-based role connects client success, technical operations, and AI infrastructure delivery. The Solutions Architect works directly with customers to guide onboarding, deployment, and scaling on the Prime Intellect platform. Internally, this position helps build systems and workflows that make our services more scalable and efficient. Beyond supporting individual accounts, this role shapes how we serve technically advanced clients, turning high-touch deployments into repeatable processes and better tools for sustainable growth. Key Responsibilities Customer Success and Account Management Serve as the main point of contact for customers using our AI infrastructure Oversee onboarding and coordinate deployments from post-sale through production readiness Build trusted relationships with customer teams, proactively resolving issues and managing risks Work closely with engineering and operations to ensure customer needs are understood and addressed Systems Development and Operational Efficiency Improve internal systems for onboarding, deployment tracking, escalation management, and account health monitoring Spot repetitive tasks and convert them into streamlined processes, tools, or automation Help define operational cadence, support infrastructure, and scalable service models for account management Develop structure and introduce solutions that enhance the customer experience

About UsAt Sierra, we are revolutionizing the way businesses engage with their customers by building a cutting-edge platform that harnesses the power of AI. Our headquarters is located in the vibrant city of San Francisco, with additional offices expanding in Atlanta, New York, London, France, Singapore, and Japan.Our company culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and foster an environment where innovation thrives.Sierra was co-founded by visionary leaders Bret Taylor, who currently serves as the Board Chair of OpenAI and has a rich history with Salesforce and Facebook, and Clay Bavor, who previously led Google Labs and spearheaded initiatives like Google Lens and Project Starline.Your RoleAs a Software Engineer focusing on Infrastructure at Sierra, you will play a pivotal role in designing, constructing, and maintaining the foundational systems that empower our AI platform. Your expertise will ensure that our infrastructure is not only secure and reliable but also scalable, allowing product teams to execute their work with agility and confidence.Guarantee the reliability, scalability, and performance of our platform and LLM inference serving in response to increasing traffic demands.Develop and oversee cloud infrastructure using Terraform to create secure, scalable, and reproducible environments.Establish and manage a self-service infrastructure platform to empower engineering teams in deploying and operating services independently.Take ownership of and improve CI/CD pipelines and release management processes, facilitating rapid and reliable deployments across Sierra’s platform.Design and manage distributed systems utilizing distributed databases, retrieval systems, and machine learning models.Develop and sustain core data serving abstractions along with essential authentication and security features (SSO, RBAC, authentication controls).Effectively navigate and integrate our technology stack with enterprise customer environments in a scalable and maintainable manner.

About MercorMercor operates at the cutting edge of labor markets and artificial intelligence research. Collaborating with top AI laboratories and corporations, we supply the essential human intelligence that drives AI advancement.Our extensive talent network educates state-of-the-art AI models much like teachers impart knowledge to students: by sharing insights, experiences, and contextual understanding that cannot be encoded. Currently, over 30,000 experts in our network generate more than $2 million daily.At Mercor, we are pioneering a new realm of work where expertise fuels AI progress. Achieving this ambitious vision demands a dynamic, fast-paced, and deeply dedicated team. Here, you will collaborate with researchers, operators, and AI firms at the forefront of transforming societal systems.As a profitable Series C company with a valuation of $10 billion, Mercor operates five days a week from our new headquarters in San Francisco.About the RoleIn your role as an Infrastructure Engineer at Mercor, you will be instrumental in constructing and scaling the systems that support our rapid expansion. You will ensure that our infrastructure is highly reliable, cost-efficient, and capable of accommodating surges in traffic and computational demands. Your collaboration with product, research, and operations engineers will be vital in designing scalable architectures, optimizing deployments, and enhancing observability.We are broadening our search across Infrastructure roles, including Developer Productivity Engineer, Database Engineer, and Platform Engineer. Candidates will be matched to teams after the initial screening, so we encourage applications even if your expertise is predominantly in one area.What You'll Work OnDesigning and maintaining core infrastructure across cloud environments.Creating Infrastructure-as-Code workflows to automate deployments and scaling.Enhancing monitoring, logging, and alerting systems to ensure reliability.Managing CI/CD pipelines (Github, Spacelift) for seamless deployments.Assisting in disaster recovery planning and ensuring system availability.Collaborating with product and research teams to design architectures that meet workload demands.Identifying and resolving performance bottlenecks in compute, storage, and networking.