Software Engineer - Platform and Infrastructure

Plasmidsaurus helps scientists worldwide by streamlining sequencing. Researchers from leading institutions and companies rely on this platform daily. With a global network of labs, the company delivers fast, affordable sequencing results, and has recently expanded into RNA-seq to broaden its genomics reach. The team is focused on building a universal sequencing platform designed for efficiency and global scale. Role overview The Lead Engineer for AI Infrastructure in Platform Engineering sets both technical direction and management strategy for the company’s compute, data, AI, and security infrastructure. This position oversees the entire sequencing operation, from laboratory devices to data delivery. What you will do Oversee core services that coordinate laboratory devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline. Develop cloud infrastructure and data pipelines for storing, processing, and delivering terabytes of sequencing data. Design systems to manage millions of bioinformatics tasks, handling queue management, workflow orchestration, and scheduling. Build AI infrastructure and internal tools to support autonomous systems, including: Quality Scientist Agents: Monitor operations, detect anomalies, and escalate quality or reliability concerns. Logistics Agents: Coordinate global transportation of samples to labs and carriers. Bioinformatics Coding Agents: Run adaptive analyses on varied sample types with different data distributions. Culture The team values initiative and a strong sense of ownership. High agency and responsibility shape how work gets done at Plasmidsaurus.

About the RoleJoin the innovative team at Known as an Infrastructure and Platform Engineer, where you will take the lead in managing and enhancing our core infrastructure and platform systems. Your work will be crucial in powering AI-driven matching, voice, and scheduling functionalities. You will be responsible for everything from cloud infrastructure and data orchestration to performance monitoring and model deployment support, designing and scaling systems that ensure Known operates swiftly, reliably, and securely.In this pivotal role, you will collaborate closely with the founding team, comprising experts in AI/ML, product development, and design, to establish Known’s technical foundation. You will play a key role in shaping our architecture, engineering culture, and best practices right from the start. This position is perfect for a practical builder who thrives in early-stage environments and is passionate about taking projects from concept to production.

Supported by premier investors from Silicon Valley, Peregrine Technologies empowers public safety organizations, government entities, federal agencies, and private institutions to tackle societal challenges with unmatched speed and precision. Our AI-driven platform transforms isolated and unconnected data into actionable operational intelligence, swiftly surfacing critical information that enables better, faster decision-making, thereby enhancing outcomes at every interaction. Currently, Peregrine serves hundreds of clients across more than 30 states and two countries, impacting over 125 million individuals, and we are poised to extend our influence into enterprise sectors and globally.Our TeamAs a cohesive engineering unit, we firmly believe that empathy enhances our solutions. Observing how users interact with our products is pivotal in guiding us toward the right solutions. Engineers will have the opportunity to collaborate closely with our onsite team to grasp the diverse use cases that Peregrine addresses.We are on the lookout for an Engineering Manager to join our core engineering teams. You will collaborate cross-functionally with design and product management to develop robust, scalable, and user-centered systems. Our teams face a range of challenges, from enabling real-time collaboration on detailed maps to constructing high-scale backend architectures capable of processing billions of data points.We value both ownership and collaboration—you will take full responsibility for significant features while working closely with fellow engineers to drive projects to fruition. We hold that humility and empathy are vital for crafting the right solutions—you will engage directly with our deployment team and users as we iterate to tackle their challenges. Creativity and perseverance are essential in realizing our vision.RoleThis position is central to the strategic execution of Peregrine's platform. You will define how our core systems scale, perform, and evolve as Peregrine continues its rapid growth and strengthens its impact across public safety, government, and enterprise sectors.As a senior platform leader, your role transcends mere system management; you will establish the technical direction, build your team, and create the operational framework that empowers every product team at Peregrine to progress with speed, safety, and assurance. Your contributions will directly influence system reliability and performance.

Join Our Team as an Infrastructure & Platform EngineerWe are seeking a talented Infrastructure & Platform Engineer to join our dynamic team at mlabs in San Francisco. As a rapidly growing technology company, we are at the cutting edge of the crypto derivatives market, an industry that generates tens of billions in annual revenue. Our exchange is one of the fastest-growing platforms for crypto derivatives, and we are committed to enhancing our offerings to meet the evolving needs of our users.Your mission will be to develop the next critical feature: Multi-Asset Margin, which will streamline how users post collateral directly on-chain, thus improving trading efficiency. You will work alongside our Infrastructure & Platform team, focusing on designing and managing our high-performance systems that deliver exceptional speed and reliability.Key Responsibilities:Design and implement robust scripts and services that ensure optimal performance in real-time environments.Manage and deploy computing resources and containers for tailored services and integrations.Automate scaling, load balancing, and congestion control for both compute and database layers.Establish and maintain CI/CD pipelines for streamlined deployments and continuous delivery.Monitor and optimize system performance across multiple metrics to enhance throughput and resilience.Develop and maintain indexing and explorer services for fast, real-time data access.Provision and optimize diverse database systems, including time-series, relational, key-value, and in-memory databases.

Join our dynamic Machine Learning Infrastructure team as a Senior AI Infrastructure Engineer, where you will play a pivotal role in designing and constructing platforms that ensure the scalable, reliable, and efficient serving of Large Language Models (LLMs). Our innovative platform supports a range of cutting-edge research and production systems, catering to both internal and external applications across diverse environments.The ideal candidate will possess a solid foundation in machine learning principles coupled with extensive experience in backend system architecture. You will thrive in a collaborative environment that bridges research and engineering, working diligently to provide seamless experiences for our customers and accelerating innovation across the organization.

Role Overview Coframe is hiring a Platform Engineer in the SF Bay Area. This role focuses on building and improving the foundation of our engineering systems. The work ranges from applying AI to streamline productivity and deployment, to strengthening monitoring, security, and cost management. Impact This is a high-impact position with significant responsibility. The solutions built here will support every team at Coframe and help shape how we develop software in the future.

About Brain Co.At Brain Co., we are at the forefront of artificial intelligence, developing innovative systems that facilitate mission-critical operations for some of the world's leading institutions. Our cutting-edge platform operates in high-security, high-stakes environments, where reliability, performance, and robust engineering practices are paramount.As an AI Platform Engineer specializing in Infrastructure, you will be instrumental in building and scaling the foundational platform that supports AI systems used in essential sectors, including government, energy, and healthcare. You will work within dynamic environments that span both cloud and on-premises settings, directly influencing our platform's reliability and performance, ensuring we meet the high standards required by our clients.This role is pivotal within our Infrastructure/Platform team. You will collaborate closely with engineering, AI/ML, and product teams to design scalable architectures, enhance our environments, optimize deployment processes, and guarantee the robustness necessary for enterprise and sovereign applications.

In a world where software is rapidly evolving, artificial intelligence (AI) is at the forefront, transforming how we interact with technology. At Scale AI, we recognize the immense potential of AI to enhance human capabilities, offering personalized support across various aspects of life—from coaching and tutoring to shopping and travel guidance. As enterprises, startups, and governments rush to integrate large language models (LLMs) into their operations, it is crucial to ensure these systems are safe, aligned, and effective. This involves rigorous human evaluation and reinforcement learning through human feedback (RLHF) during all stages of model development.Our innovative products, including the Generative AI Data Engine, SGP, and Donovan, are designed to empower the most advanced LLMs and generative models globally. By leveraging world-class RLHF, human data generation, model evaluation, safety, and alignment, we are shaping the future of human-AI interaction.As a member of our Platform Engineering team, you will play a pivotal role in designing and developing the foundational platforms that support Scale's operations. Your responsibilities will include architecting our core cloud infrastructure, enhancing our data lifecycle, and transforming the software development process for engineers at Scale. You will gain invaluable insights into the AI landscape as it develops within diverse sectors.

Scale AI is seeking a Senior AI Infrastructure Engineer to help build and refine the company’s Training Platform. This position centers on designing, implementing, and improving infrastructure that supports machine learning teams as they train and deploy models. Role overview This engineer will work closely with colleagues across different functions to create solutions that make AI systems more efficient. The focus is on enabling faster, more reliable model training and deployment. Key responsibilities Design and build infrastructure for AI model training Implement and optimize systems to support machine learning workflows Collaborate with teams throughout the company to improve platform capabilities Locations This role is based in San Francisco, Seattle, or New York.

At ClickUp, we are not just creating software, we are crafting the future of work! In a landscape saturated with work complexities, we envisioned a better solution. This vision led to the development of the first genuinely integrated AI workspace, seamlessly combining tasks, documents, chat, calendar, and enterprise search, all enhanced by context-sensitive AI. This empowers millions of teams to break down barriers, reclaim their time, and elevate productivity to new heights. Here at ClickUp, you will have the chance to learn, leverage, and innovate with AI in ways that will not only transform our product but also redefine the future of work itself. Join us in being part of a daring, innovative team that is reshaping possibilities! Role Overview:We are in search of a highly talented and experienced Staff AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will significantly contribute to the development of our core AI platform and directly utilize large language models (LLMs) to implement intelligent features across ClickUp. Your focus will be on back-end systems that facilitate scalable, dependable, and secure AI-driven capabilities, while also engaging hands-on with LLMs to address real user challenges and propel product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services to support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to build and enhance ClickUp’s intelligent features, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and maintain robust APIs and backend systems that facilitate seamless integration of AI-enhanced features into ClickUp’s core platform.Create infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost-efficiency.Promote best practices in AI privacy, security, and compliance, including data anonymization and secure data handling.Optimize platform performance, scalability, and cost-efficiency, utilizing cloud-native technologies and distributed systems.Stay abreast of advancements in AI infrastructure, MLOps, and LLM applications, and proactively apply relevant innovations to ClickUp’s AI platform.Collaborate cross-functionally with teams to drive AI initiatives.

Decagon seeks an Engineering Manager to lead its Platform Infrastructure team in San Francisco. This position shapes the technical foundation behind Decagon’s scalable applications, focusing on both performance and reliability. The role involves hands-on leadership and a commitment to building infrastructure that supports the company’s growth. Role overview This manager will oversee a group of engineers dedicated to platform infrastructure. The team’s work underpins the systems that allow Decagon’s products to scale smoothly and operate dependably. What you will do Guide and support engineers working on key infrastructure projects Direct the development and maintenance of systems that power Decagon’s applications Encourage solutions that boost platform performance and reliability

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.

Sphere develops AI-driven systems that help businesses navigate and comply with global trade laws. The core platform, TRAM, interprets regulations across more than 190 jurisdictions, enabling clients to stay compliant with speed and accuracy. Backed by a16z and Y Combinator, Sphere operates from its San Francisco headquarters. Role overview The AI Agent Infrastructure Lead guides the technical direction of Sphere’s AI agent infrastructure. This position sits within a small, collaborative team where each person’s contributions directly influence company growth. Sphere’s mission centers on automating compliance for global transactions, from calculation to remittance, to improve efficiency and market access. High reliability is essential, systems are engineered for zero downtime. What you will do Lead technical strategy and architecture for AI agent infrastructure Collaborate closely with a tight-knit team at the San Francisco HQ Ensure systems remain highly reliable and available Why Sphere? Tackle complex infrastructure challenges that affect real-world trade Make a direct impact on a product trusted in over 190 jurisdictions Work alongside a small, dedicated team shaping the company’s future Contribute to the evolution of compliance technology in a rapidly growing company

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 AnythingAnything is a pioneering AI product engineering company, empowering the next generation of entrepreneurs. Our innovative AI agent transforms English into fully functional applications, encapsulating everything needed to monetize online ventures, including mobile solutions, web interfaces, design, AI capabilities, backend services, infrastructure, and payment systems. Since our launch on August 7th, we have achieved $5 million in revenue and are rapidly expanding. Discover more at anything.com.Role OverviewWhat You Will DoWe are looking for individuals eager to accelerate their growth and make a significant impact. In this role, you will develop systems that support millions of applications and billions of users, addressing the challenges that arise in a high-demand environment. You will design and maintain the runtime, control plane, and isolation boundaries essential for safely executing user-generated applications at scale.Your innovative solutions will utilize platform telemetry, execution data, and feedback loops to enhance code generation and application performance, all powered by our AI-centric platform.You will take ownership of key components of the platform from architecture and implementation to operational production and iteration.Operational ResponsibilitiesDesign and manage multi-tenant cloud infrastructure, focusing on isolation, deployment, observability, and cost control for customer applications.Ensure top-tier reliability and performance for our platform.Conduct research to inform decisions regarding technology choices and service providers.Collaborate closely with product teams to develop platform features that drive product innovation.Stay informed about the latest advancements in infrastructure research and development.Successful platform management requires composure under pressure. We value self-assurance coupled with curiosity and a commitment to evidence-based decision-making.Key Performance MetricsYour effectiveness will be evaluated based on:1. Runtime InfrastructureDevelop and oversee scalable, low-latency infrastructure for user applications.2. Platform ReliabilityYou will ensure the platform's uptime and reliability, preventing failures from affecting multiple customers. Our users expect high availability and rapid issue resolution.3. Platform Support for Product FeaturesYou will create the platform features essential to support our product roadmap, ensuring seamless integration and performance.

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.

At Stuut, we are revolutionizing the accounts receivable landscape for B2B companies by streamlining collections processes to be smarter and more efficient. Our innovative platform has garnered attention from finance teams across various industries, including industrials, chemicals, and manufacturing, ranging from Fortune 10 giants to emerging mid-market players. We are proud to be supported by premier investors such as a16z, Khosla, Activant, 1984 Ventures, and Page One.About the RoleVoice telecommunications play a vital role in accounts receivable operations. Our customers initiate contact via phone, agents engage in calls, and effective transfers are crucial. We are developing AI-driven agents that actively contribute to collections, cash application, disputes, and customer communications, with voice being a key component of these interactions.We are seeking a Lead Voice Infrastructure Engineer to lay the groundwork for our AI-enhanced voice initiatives at Stuut. In this position, you will collaborate closely with our engineering, product, and go-to-market teams to design and maintain the telephony infrastructure that supports high-volume phone interactions. This role merges telephony infrastructure, real-time voice systems, AI voice agents, and finance workflows.The ideal candidate will possess deep expertise in telephony, be adept at constructing distributed systems that perform reliably under production loads, and recognize the significant impact of infrastructure decisions on product outcomes. You will oversee the systems that manage call connectivity, transfer effectiveness, and business outcome measurements. As the first dedicated voice infrastructure hire at Stuut, you will be instrumental in shaping our approach.

Join our innovative team at worldlabs as a Platform Engineer specializing in Developer Infrastructure. In this pivotal role, you will enhance and maintain the tools and platforms that empower our developers to build efficient and scalable applications. You will work collaboratively across teams to ensure that our infrastructure meets the needs of our growing organization.

At Discord, we connect over 200 million users monthly for diverse experiences, with gaming being the predominant activity. Our platform supports more than 90% of our users in enjoying games, collectively logging 1.5 billion hours each month across various titles. As we shape the future of gaming, our mission is to enhance interactions before, during, and after gaming sessions.The Platform Infrastructure teams are pivotal in constructing and upholding the essential systems that energize Discord's core functionalities. We manage systems that process hundreds of thousands of requests per second and handle tens of billions of transactions daily, enabling seamless connections for millions of users. By developing foundational platform components, we empower internal developers to deploy new features swiftly and securely, ensuring Discord remains reliable, efficient, and scalable.As a Senior Software Engineer on our team, you will play a crucial role in continuously refining our codebase, processes, and infrastructure, directly impacting user interactions on Discord!