Cloud Infrastructure Security Engineer

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 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 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.

Role Overview West Monroe Partners is hiring a Cloud Architect to design, implement, and optimize cloud architectures for a range of clients. This position works with teams across the company to deliver cloud solutions that help organizations use cloud technologies efficiently. What You Will Do Design cloud architectures tailored to client needs Lead implementation and optimization of cloud environments Work closely with cross-functional teams to integrate and deploy cloud services Locations Chicago Dallas Los Angeles New York San Francisco Seattle

About WRITERWRITER empowers leading enterprises to harness AI-driven productivity. Our mission is to enhance human capabilities through advanced superintelligence. We are demonstrating this potential with reliable AI solutions that integrate IT and business teams, fostering transformation across organizations. With our comprehensive platform, numerous companies, including Mars, Marriott, Uber, and Vanguard, are developing and implementing AI agents rooted in their proprietary data and powered by WRITER's enterprise-grade LLMs. With a valuation of $1.9B and support from top-tier investors such as Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is firmly establishing itself as a frontrunner in the realm of enterprise generative AI.Since our inception in 2020, with offices in San Francisco, New York City, Austin, Chicago, and London, we are driven by a vision to innovate and accelerate. We are inviting talented, dedicated builders and innovators to join us in revolutionizing the future of work through AI. About the RoleAt WRITER, our growth is intrinsically linked to empowering our users to produce superior content rapidly and at an unparalleled scale. As a Strategic Solutions Architect, you will play a crucial role in this initiative, collaborating with our most significant and strategic prospects to identify, validate, and create innovative generative AI solutions that deliver substantial business value. Your role transcends mere product sales; it involves a deep comprehension of intricate enterprise requirements and constructing a future where AI reshapes our customers' operations. You will be pivotal in determining how leading global companies adopt and scale AI, having a tangible impact on their success and WRITER’s ongoing leadership in the enterprise generative AI domain.This is a full-time, hybrid position based in our San Francisco office. You will report directly to the VP of Solutions Architecture.‍ What You'll DoLead strategic technical discovery sessions with Fortune 500 prospects and clients, translating complex business challenges into actionable, impactful technical solutions for AI-powered initiatives.Design and architect scalable, robust, and secure generative AI solutions tailored for enterprise clients, leveraging WRITER's platform, APIs, and customized applications to address critical business needs.Oversee the creation and implementation of persuasive proofs of concept (PoCs) and demonstrations, developing custom templates and integrating WRITER's capabilities to highlight transformative value.

The Cloud Architect role at Accordion centers on designing and implementing cloud solutions for clients across several major U.S. cities. This position calls for experience in building scalable architectures that support both innovation and operational efficiency. Role overview Work closely with cross-functional teams to create cloud environments tailored to client requirements. The position involves translating business needs into technical solutions and ensuring systems are robust and adaptable as demands grow. Collaboration Expect to partner with colleagues from various disciplines, combining technical knowledge with practical business insight. Projects often require balancing multiple priorities and adapting designs as client needs evolve. Locations Atlanta Boston Charlotte Chicago Dallas Los Angeles New York San Francisco

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 Lavendo, we are pioneering an infrastructure that most engineers only dream of. We operate an AI-centric cloud platform that integrates expansive GPU clusters, high-speed networking, and cloud-native tools, catering to enterprises, innovative startups, and leading research teams. Our mission is straightforward: empower our clients to efficiently train and execute complex AI and simulation workloads without the need to construct their own supercomputers.As a publicly traded company, we are rapidly expanding, with R&D centers across North America, Europe, and the Middle East. Our culture emphasizes engineering excellence: minimal bureaucracy, significant ownership, and a focus on tackling challenging infrastructure problems while witnessing the impact of our work on real customer operations.Your Role as HPC Specialist Solutions ArchitectIn this pivotal role, you will be the go-to expert for customers looking to establish or enhance advanced GPU and HPC environments in the cloud. This includes multi-rack clusters, high-speed interconnects, intricate scheduling, and strict SLAs regarding throughput and latency.As an HPC Specialist Solutions Architect, you will design and optimize cutting-edge platforms for AI training, extensive simulations, and data-intensive workloads. You will collaborate closely with NVIDIA's latest hardware (Hopper, Blackwell, and future versions), NVLink/NVSwitch topologies, and InfiniBand/RoCE fabrics, having a substantial influence on the evolution of our platform and reference architectures. If you thrive on translating workloads into optimized clusters and maximizing performance, this is the ideal position for you.Your ResponsibilitiesCluster Design: Architect and implement HPC clusters for AI, simulation, and distributed training using Kubernetes and schedulers like Slurm. Your considerations will include node types, GPU topology, queues, partitions, and failure scenarios.Infrastructure Optimization: Integrate NVIDIA Hopper and Blackwell-class GPUs with NVLink/NVSwitch and InfiniBand/RoCE, ensuring the hardware layout aligns with the communication patterns of the workloads.Automation: Deploy and manage GPU and Network Operators to standardize drivers, CUDA, firmware, and high-speed networking across extensive fleets, rather than managing on a box-by-box basis.Supercomputer Cloud Functionality: Design and validate cloud-native HPC environments that emulate supercomputer capabilities.

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.

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.

Join Databricks as a Resident Solutions Architect, where you will play a pivotal role in driving customer success and implementing innovative solutions. As a key member of our team, you will collaborate with clients to understand their business needs and architect solutions that leverage our cutting-edge data and AI platform. Your expertise will empower organizations to unlock the value of their data through strategic guidance and hands-on support.

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.

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

Astranis is revolutionizing satellite technology for high orbits, pushing the boundaries of human exploration into the solar system. Our advanced satellites deliver dedicated, secure networks to a diverse clientele that includes large enterprises, sovereign governments, and the US military. With five satellites successfully in orbit and a robust pipeline of launches ahead, we are addressing a significant backlog of over $1 billion in commercial contracts.Astranis is the trusted satellite communications partner for clients demanding exceptional uptime, data security, network visibility, and tailored solutions. Having secured over $750 million in funding from prestigious investors such as Andreessen Horowitz, Blackrock, and Fidelity, we proudly employ a talented team of 450 engineers and innovators. Our state-of-the-art headquarters spans 153,000 sq. ft. in Northern California, USA.Position: Cloud Infrastructure EngineerAs a Cloud Infrastructure Engineer at Astranis, you will play a critical role in designing and implementing infrastructure that is as essential as the satellites it supports, ensuring 24/7 operational reliability. Your expertise will underpin the platforms that Mission Operators rely on to effectively command our satellites and maintain situational awareness. You will also influence our strategic approach to leveraging cloud technology for hosting key applications and enhancing developer productivity.This position supports both commercial and U.S. Government initiatives.

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 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.

Position Title: Azure Cloud Consultant/Lead/ArchitectWork Location: San Jose, CAInfiCare Technologies is seeking an experienced Azure Consultant to join our dynamic team. As a key player in our organization, you will leverage your extensive expertise in cloud services, particularly Azure, to drive innovative solutions in a fast-paced environment.Key Responsibilities:Utilize over a decade of technology experience to deliver high-quality cloud solutions.Lead cloud service projects with a minimum of 2 years of hands-on experience in Azure services.Administer Microsoft SQL Server and databases, ensuring robust performance and availability.Design and implement PaaS and IaaS architectures in Azure, leveraging best practices.Apply knowledge of networking engineering, including DNS, Active Directory, firewalls, and load balancers.Contribute to IT operations in an always-on service model, ensuring optimal performance.Drive the design and implementation of large-scale, complex applications with high transaction volumes.Engage in problem-solving for globally distributed systems and critical service environments.Conduct technical deep dives into infrastructure, databases, and applications while maintaining strategic discussions with leadership.Work within Agile methodologies and contribute to Scrum team activities.Implement Continuous Integration and Continuous Delivery (CI/CD) practices with relevant tools.Utilize DevOps and release management tools to enhance operational efficiency.Communicate effectively with both technical teams and corporate executives, demonstrating exceptional influencing and reasoning skills.Preferred Qualifications:Experience managing large-scale projects with established processes and standards.Strong analytical and problem-solving capabilities.Excellent organizational and communication skills.Proven leadership and team-building skills.A creative and flexible approach to challenges.

About Our TeamJoin our Technical Success team at OpenAI, where we are dedicated to the secure and effective implementation of ChatGPT and OpenAI API applications for developers and enterprises. As trusted advisors and thought leaders, we empower our customers to unlock the full potential of our innovative models and products. In your role as a Solutions Engineer, you will drive transformative business solutions encompassing customer service enhancements, automated content generation, and pioneering applications utilizing our cutting-edge models.Role OverviewWe are looking for a dynamic Solutions Engineer to collaborate with our clients, ensuring they derive significant business value from our offerings, including ChatGPT and the OpenAI API. Your role will involve partnering with senior business stakeholders to comprehend their pre-sales requirements, guide their AI initiatives, and pinpoint the most impactful use cases and applications. You will liaise with both business and technical teams to showcase the benefits of our solutions, recommending architectural frameworks to facilitate implementation and development.This position is based in San Francisco, CA, with a hybrid work model requiring three days of in-office work per week. We also provide relocation assistance for new hires.Key ResponsibilitiesDeliver exceptional pre-sales support by offering technical expertise, articulating our value proposition, and addressing product, API, and LLM-related inquiries.Illustrate how the OpenAI APIs and ChatGPT can fulfill our customers’ business objectives and generate substantial value, including building and presenting demos, scoping use cases, recommending architectural strategies, and providing comprehensive technical guidance.Create and maintain documentation, guides, and FAQs to address common inquiries and requirements identified during the pre-sales process.Cultivate and maintain strong relationships with customers throughout the evaluation, validation, and purchasing phases.Champion customer advocacy by representing their voice internally, gathering feedback, identifying trends, and integrating insights into product development.Act as the primary resource for security and compliance inquiries, providing standard collateral, directing customers to relevant resources (e.g., trust portal), and escalating complex issues to the appropriate teams.

Join DigitalOcean as a Senior Solutions Architect II specializing in AI and Machine Learning. In this pivotal role, you will leverage your expertise to design and implement innovative solutions that drive our customers' success. You'll collaborate with cross-functional teams to ensure our clients harness the full potential of our cloud services, enabling them to scale and optimize their operations effectively.