Senior Software Engineer, Data Platforms

As an Engineering Manager for our Cloud Platform team at Verdigris Technologies, you will lead a talented group of engineers in developing cutting-edge solutions that harness the power of cloud technology. Your leadership will drive innovation, enhance performance, and ensure the delivery of reliable, scalable, and secure cloud services.In this dynamic role, you will collaborate with cross-functional teams to define engineering best practices and drive the successful execution of projects. You will mentor and develop your team while fostering a culture of continuous improvement and technical excellence.

Rivian and Volkswagen Group Technologies combines the strengths of two automotive leaders to push forward the future of mobility. This partnership brings together expertise in advanced operating systems, zonal controllers, cloud services, and connectivity. The collaboration aims to set new benchmarks for software-defined vehicles as electric vehicles continue to transform the industry. The joint team leverages deep knowledge in connectivity, artificial intelligence, and security to create a smarter, more interconnected, and sustainable automotive landscape. Role overview The Senior Software Engineer for the Parallax Cloud Platform will help build a global, scalable cloud platform that connects vehicles, mobile devices, and digital services. The focus is on developing the infrastructure needed for real-time, distributed communication across connected products. This position involves designing, implementing, and maintaining high-volume services for secure, low-latency messaging, robust APIs, and comprehensive observability. What you will do Design, implement, and manage core cloud services and platform features to support real-time messaging and APIs across global environments. Oversee high-throughput messaging infrastructure (such as NATS or similar), including upgrades, performance tuning, capacity planning, and observability through dashboards and alerts. Develop and maintain gRPC/Protobuf APIs and client integrations to enable reliable service-to-service and client-to-cloud communication, with strong telemetry support. Enhance infrastructure automation and deployments using Kubernetes, ArgoCD, and Infrastructure as Code tools like Crossplane or Terraform across development, staging, and production. Set up and maintain production-grade monitoring dashboards and alerting systems with Datadog, and use Prometheus and Grafana for metrics and service-level objectives as needed. Manage and optimize API gateways and reverse proxies (NGINX, Envoy) to ensure secure, reliable ingress and routing at scale. Handle PKI and certificate workflows, along with service identity, to secure transport and authentication across multiple environments. Create and maintain end-to-end, scaling, and integration testing pipelines to validate functionality, performance, and regression before production launches. Contribute to improvements in multi-region resiliency, cost and performance optimization, and evolving multi-tenant support as the platform expands. Location Palo Alto, California

About ALSO.At ALSO, we are revolutionizing electric mobility. Originally part of Rivian, our dedicated team of innovators is committed to designing and developing cutting-edge, vertically integrated electric vehicles (EVs) that address the mobility challenges of today and tomorrow. Our mission is to inspire communities to choose ALSO by offering vehicles that are not only affordable and enjoyable but also significantly more efficient—10 to 50 times more than traditional vehicles.We are seeking a Senior Site Reliability Engineer to join our team. In this pivotal role, you will be responsible for architecting and maintaining scalable, cloud-native systems that support vehicle telemetry, fleet management, and data analytics. The ideal candidate will possess profound knowledge in distributed systems, Kubernetes, AWS infrastructure, and data pipelines with a strong emphasis on reliability and operational excellence.Key Responsibilities:Operationalize microservices platforms utilizing Kubernetes (EKS) and AWS ECS.Enhance vehicle telemetry data ingestion and optimize data pipelines leveraging streaming technologies (Kafka/Kinesis) for high-throughput, low-latency workloads.Lead initiatives focused on reliability engineering, including the establishment of SLOs, SLIs, and incident response protocols.Deploy advanced observability solutions using tools such as Datadog, Grafana, and comprehensive logging pipelines.Design and maintain API Gateway-based service architectures.Manage on-call rotations and incident response frameworks using PagerDuty.Automate infrastructure provisioning employing Terraform and CI/CD tools (ArgoCD, Concourse).Advance system resilience, failover strategies, and multi-region reliability.Collaborate with product and platform teams to enhance vehicle lifecycle management and cohort analytics.

Senior Platform Product Manager, Cloud Security Architecture Location: Palo Alto, CA (open to other locations) The Senior Product Manager for Cloud Security Architecture plays a pivotal role in ensuring that Rubrik's cloud offerings align with enterprise security standards and are fortified against cyber threats. This position blends extensive security knowledge with sharp product insights to convert customer security challenges into actionable product requirements for our cloud security strategy. Our solutions are built on a foundation of "Zero Trust" security principles. This role is essential in shaping the long-term security vision and roadmap, focusing on identifying product gaps, exploring market opportunities, and implementing enhancements that establish industry-leading security benchmarks and best practices in Rubrik products. Key Responsibilities: Collaborate closely with cloud product and engineering teams to gain an in-depth understanding of Rubrik's cloud product architecture. Effectively communicate and justify architectural decisions to various stakeholders, including customers. Contribute to the development of the cloud product and cloud platform security roadmap, ensuring coherence across all security domains within Rubrik's offerings. Stay informed about customer expectations and the latest best practices from hyperscalers. Serve as a primary advocate for cloud product security, working with customers and account teams to define and refine the roadmap across multiple dimensions (UX, technology, business) while delivering commercially viable security features within the Rubrik cloud portfolio. Lead cross-functional strategic initiatives, managing execution across all cloud products to ensure compliance with platform security standards. Oversee product risk identification, assessment, and prioritization of resolutions for critical platform vulnerabilities. Collaborate with and influence senior stakeholders across functions—InfoSec, Engineering, User Experience, Sales, Marketing, Operations, and Support—to align vision and secure approval and resources for projects. Communicate effectively to diverse audiences, including presenting compelling business cases to executive leadership and representing Rubrik as a security authority externally.

About Glean:Founded in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to efficiently locate, organize, and disseminate information throughout their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean enables employees to access the right knowledge at the right moment, enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, allowing teams to leverage their collective intelligence faster and more effectively.Glean was established by Founder & CEO Arvind Jain, who recognized the challenges employees encounter in sourcing and comprehending information at work. Witnessing the fragmentation of knowledge and the challenges posed by numerous SaaS tools, he aimed to create a better solution—an AI-enabled enterprise search platform that facilitates swift and intuitive access to essential information. Since its inception, Glean has evolved into the leading Work AI platform, merging enterprise-grade search capabilities with an AI assistant and advanced application- and agent-building functionalities, fundamentally transforming how employees operate.About the Role:Glean is on the lookout for a skilled Infrastructure Engineer to design and advance the platform that maintains a highly available, efficient, secure, and cost-effective infrastructure across multiple cloud environments. You will be responsible for delivering intricate components featuring refined automation, robust uptime assurances, autoscaling, and dependable alerting/monitoring for infrastructure that operates across various cloud providers. As a member of the Platform team, you will oversee critical aspects of Glean’s infrastructure, collaborating closely with other teams to support their workloads.

Woven by Toyota is driving Toyota’s transformative journey into a modern mobility enterprise. Our vision is to redefine mobility through innovative, human-focused solutions that serve society at large.Our initiatives revolve around four core areas: Advanced Driver Assistance Systems (ADAS), our autonomous driving technologies; Arene, our software platform for software-defined vehicles; Woven City, a testbed for mobility innovations; and Cloud & AI, the digital backbone supporting our collaborative efforts. Our business-critical functions empower these teams to achieve a singular ambitious objective: creating a world with zero accidents and enhanced well-being for everyone.TEAMAt Woven by Toyota, we confront challenges in Autonomy at the intersection of AI, Robotics, and Advanced Driving. Our work encompasses analyzing vast amounts of multimodal driving data, tackling optimization challenges, reducing latency on hardware accelerators, deploying scalable machine learning (ML) training and evaluation pipelines, and innovating neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are seeking proactive and innovative problem solvers to join our mission of enhancing mobility for all through human-centered automated driving solutions.WHO ARE WE LOOKING FOR?We are in search of a seasoned, hands-on ML Engineering Manager to lead a team of skilled and passionate ML Platform engineers. This role will involve close collaboration with our ML teams to enhance and scale our overall ML engineering initiatives, facilitating the deployment of Perception, Prediction, and Planning ML models alongside our AD/ADAS stack into millions of Toyota vehicles.This position will focus on developing and implementing tools, automation, and infrastructure that support the entire ML software lifecycle—ranging from data loading of curated ML datasets, large-scale ML model training, evaluation, and deployment, including quantization and the conversion of models into formats compatible with our edge devices.The ideal candidate possesses a collaborative spirit and a deep-seated passion for self-driving technology and its potential global impact. You will leverage your expertise in machine learning, a comprehensive understanding of the model lifecycle, and experience in developing tools and pipelines for vehicle perception, localization, prediction, and planning.

Join BrightAI, an innovative leader in Physical-AI, as we revolutionize the way businesses engage with the physical world through intelligent automation. Our cutting-edge AI platform processes visual, spatial, and temporal data from billions of real-world events, enabling seamless interaction from edge devices and mobile sensors to vast cloud systems.We are in search of a dedicated Cloud Engineer who is excited to tackle the challenges of developing next-generation cloud-native applications and services in a dynamic environment. You will engage directly with advanced technologies like drones, robotics, industrial machinery, and low-power sensor-laden devices, all interconnected with our cloud services. You will play a pivotal role in architecting and scaling systems designed to manage hundreds of millions of events daily. This position offers you the opportunity to significantly influence the design, scalability, and performance of our cloud platform while collaborating with top-tier engineers as we continue to evolve and innovate.

About Rhoda AI Rhoda AI is building the next generation of humanoid robotics, combining high-performance, software-defined hardware with advanced foundational and video world models. Our robots are designed as adaptable generalists, able to handle complex real-world settings and new challenges. The team works closely with leading researchers from Stanford, Berkeley, Harvard, and other institutions. With over $400M raised, Rhoda AI is investing heavily in research, hardware, and scaling up manufacturing to bring these robots to life. Role Overview The Cloud Infrastructure Engineer will design and manage the systems that power Rhoda AI's robotics and AI platform. This role covers infrastructure for training data collection, robot fleet maintenance, and model training and evaluation. High reliability and low latency are essential throughout. The systems built here form the backbone of product delivery. What You Will Do Design, build, and maintain cloud infrastructure for data pipelines, robot operations, and model training and evaluation. Keep critical infrastructure components, databases, data warehouses, object storage, reliable, available, and fast. Develop and manage backend services and APIs that deliver infrastructure capabilities to internal and external users. Troubleshoot and resolve performance bottlenecks in the data and compute stack to meet strict latency and throughput goals. Work with research teams to translate model training and evaluation needs into scalable infrastructure solutions. Partner with robotics teams to ensure field operations have dependable, low-latency backend support. Create observability tools, including metrics, logging, and alerting systems, to spot and address infrastructure issues early. Set and follow best practices for infrastructure security, cost efficiency, and scalability. Take part in on-call rotations and contribute to incident response and retrospective reviews. What We Look For 4+ years of experience in cloud infrastructure engineering or a closely related area. Skilled in designing and implementing scalable cloud architectures. Hands-on experience with databases, data warehouses, and object storage systems. Strong programming ability in Python, Java, or Go. Excellent problem-solving skills and attention to detail. Collaborative approach and ability to work well in a fast-moving team. Location Palo Alto

About Glean:Established in 2019, Glean is a groundbreaking AI-enhanced knowledge management platform that empowers organizations to swiftly locate, organize, and disseminate information across teams. By seamlessly integrating with popular tools such as Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have immediate access to the right knowledge at the right time, thereby enhancing productivity and collaboration. The company's advanced AI technology streamlines knowledge discovery, making it quicker and more efficient for teams to harness their collective intelligence.Glean was inspired by Founder & CEO Arvind Jain’s deep comprehension of the hurdles employees encounter when trying to find and comprehend information at work. Witnessing the fragmentation of knowledge and the overwhelming array of SaaS tools that hindered productivity, he was motivated to create a better solution - an AI-driven enterprise search platform that facilitates quick and intuitive access to essential information. Since its inception, Glean has transformed into a leading Work AI platform, merging enterprise-grade search capabilities, an AI assistant, and robust application and agent-building features to fundamentally redefine employee workflows. About the Role:Glean is developing a horizontal AI platform that revolutionizes how employees leverage AI at work – not only within Glean but across diverse tools such as Copilot, Gemini, ChatGPT, IDEs, and more. We are in search of innovative engineers to construct this context platform and provide rich, reliable experiences across all these applications.This team is responsible for the complete platform experience: establishing standards and tools for REST APIs, SDKs, client libraries, agent SDKs, integrations, MCP servers, custom contexts like code and memory, as well as the infrastructure and documentation to facilitate building on Glean. In a fast-paced startup environment, this role will involve collaborating across multiple layers of the stack – from backend services to developer tools, SDKs, and documentation.You will:

Join xAI as a Software Engineer on our Data Platform team, where you'll design, build, and operate scalable distributed systems that handle vast data processing and transport. Be part of a dynamic environment focused on engineering excellence, working with cutting-edge technologies like Apache Kafka, Spark, and Flink to drive real-time machine learning and analytics at a petabyte scale.

Senior Software Engineer, Cloud & Infrastructure | Software EngineeringPalo Alto, CA (on-site)At 1X, we are at the forefront of innovation, developing humanoid robots that collaborate with humans to address labor shortages and foster abundance.In this pivotal role, you will spearhead the design and implementation of sophisticated software that bridges the physical and digital realms of our global robotic operations. From deployment tools and fleet management solutions to customer interfaces and internal operational platforms, your goal is to develop systems that can scale from hundreds to tens of thousands of robots. You will take charge of architectural decisions, construct core components, and mentor engineers across the technology stack, ensuring reliability, simplicity, and performance throughout.

Join PsiQuantum, a pioneering force dedicated to creating the first practical quantum computers that will revolutionize various industries. Since our inception in 2016, we have been unwavering in our mission to construct and implement million-qubit, fault-tolerant quantum systems.Our innovative quantum computers leverage the principles of quantum mechanics to tackle problems that are beyond the capabilities of the most sophisticated supercomputers and AI technologies. The transformative potential of these machines will benefit fields such as energy, pharmaceuticals, finance, agriculture, transportation, and materials science.Utilizing silicon photonics as the foundation of our architecture, we capitalize on advanced semiconductor manufacturing techniques—partnering with leaders like GlobalFoundries. This approach allows us to employ high-volume processes that already produce billions of chips for telecommunications and consumer electronics. The benefits of photonics are clear: they are immune to heat, unaffected by electromagnetic interference, and seamlessly integrate with current cryogenic cooling systems and standard fiber-optic infrastructures.In 2024, we announced significant government-funded projects aimed at establishing our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives illustrate the growing acknowledgment of quantum computing's strategic and economic significance, emphasizing the urgency to scale our efforts.At PsiQuantum, we are also focused on developing the algorithms and software necessary for these systems to achieve commercial viability. Our application and software teams collaborate with prestigious Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to optimize quantum solutions for real-world applications.Quantum computing signifies not merely an extension of classical computing but a radical transformation, offering pathways to tackle challenges that cannot be addressed through any other means. The opportunities are vast, and we are committed to making this vision a tangible reality.We invite you to be a part of this groundbreaking journey.

Product Security Engineer, Cloud & InfrastructurePalo Alto, CA (on-site)About 1XAt 1X, we are pioneering the future of work by developing humanoid robots that collaborate with humans to address labor shortages and foster abundance.The RoleAs a Product Security Engineer specializing in cloud and infrastructure, your role will be crucial in designing and maintaining secure architectures, building cloud-native security services, and safeguarding CI/CD pipelines. You will play a key part in ensuring secure communications and protecting data across 1X’s robotics platforms.Your ResponsibilitiesCollaborate closely with engineering teams to develop and maintain security-critical cloud services.Implement infrastructure-as-code security practices for consistent and secure deployments.Design and manage identity and access systems enforcing just-in-time and least-privilege access.Secure CI/CD pipelines against poisoning and credential theft while ensuring artifact integrity.Create and manage cloud-native security services for device authentication, data protection, and secure communication.Architect secure cloud networks through VPC segmentation, traffic filtering, and access control.Configure and oversee cloud security posture management (CSPM) tools to identify misconfigurations and support incident response across environments.

Join acryldata, an innovative leader in AI and data management, as we revolutionize the way enterprises utilize their data. Our flagship product, DataHub, is an AI & Data Context Platform trusted by over 3,000 organizations, including industry giants like Apple, CVS Health, Netflix, and Visa. Developed in collaboration with a vibrant open-source community of over 13,000 contributors, DataHub's metadata graph offers unparalleled insights into AI and data assets, ensuring exceptional scalability and flexibility.Our enterprise SaaS solution, DataHub Cloud, provides a fully managed platform equipped with AI-driven discovery, observability, and governance features. Businesses depend on DataHub to accelerate the realization of their data investments, guarantee the reliability of AI systems, and establish cohesive governance frameworks, thus harmonizing AI and data to mitigate data chaos.The ChallengeAs AI and data products grow increasingly vital, organizations encounter a metadata crisis:Lack of a unified approach to monitoring the intricate data supply chains fueling AI systems.Engineering teams facing hurdles in data discovery, lineage tracking, and governance.Organizations demanding machine-scale metadata management that goes beyond human-browsable catalogs.Why This MattersThis is where infrastructure meets impact. The metadata layer you will develop will be instrumental in powering the next generation of AI systems at a large scale. Your contributions will influence how thousands of organizations deploy AI safely and effectively, impacting millions of users across the globe.The RoleWe are in search of a highly skilled Python engineer to spearhead the development of DataHub's ingestion framework—the backbone that links various data systems and enhances our metadata collection capabilities.You Will BuildResilient, scalable ingestion systems for enterprise-level metadata.Clean, user-friendly APIs for our connector ecosystem.Event-driven architectures for real-time metadata processing.Schema mapping for diverse systems integrated with DataHub's unified model.Versioning systems for AI assets, including training data, model weights, and embeddings.

Our PurposeAt Fiddler AI, we recognize the profound implications of artificial intelligence and its impact on human lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, the potential for generalized intelligence has expanded, but so have the associated risks. Fiddler is dedicated to assisting organizations in navigating these challenges by providing reliable and transparent AI solutions.We collaborate with AI-centric organizations to establish a sustainable framework for responsible AI practices, fostering trust among their users. AI Engineers, Data Scientists, and business teams leverage Fiddler AI to monitor, evaluate, secure, analyze, and enhance their AI solutions, facilitating improved outcomes. Our platform empowers engineering teams and business stakeholders to comprehend the 'what', 'why', and 'how' behind AI results.Our FoundersFiddler AI was co-founded by Krishna Gade, a distinguished engineering leader from Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product visionary with a history at Microsoft, Samsung, PayPal, and as a two-time founder. Our venture is supported by prominent investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join UsJoining our innovative team means contributing to the mission of embedding trust into AI, thereby helping society harness its transformative power. You will play a crucial role in ensuring that AI applications deployed at scale across various industries maintain operational transparency and security. As an early-stage startup, we are rapidly expanding and proud of our dynamic team composed of intelligent and empathetic doers, thinkers, creators, and builders. The AI and ML sector is characterized by swift innovation, offering monumental learning opportunities. This is your chance to lead the way as a pioneer in this field.Fiddler is recognized as a trailblazer in AI Observability, having earned numerous accolades such as the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our talented team, you will contribute to shaping the future of AI Observability.‍ The Mission:As a Staff Data Platform Engineer, you will significantly impact the safety and return on investment of large language models and agentic applications across diverse verticals and domains. You will be at the forefront of designing and developing innovative tools that enhance the performance and reliability of AI systems.

Speechify is looking for a Software Engineer to join the Platform team in Palo Alto, CA. This group builds and maintains the core systems behind Speechify’s products, with the goal of improving how users interact with the platform. Role overview The Platform team works on foundational technology that supports all of Speechify’s offerings. The focus is on creating solutions that enhance reliability, scalability, and efficiency across products. What you will do Work closely with engineers, designers, and other teams to deliver new features and platform improvements Develop and maintain software systems that handle growth and perform consistently Share technical input and ideas to help guide the platform’s development Location This is an in-person role based in Palo Alto, CA, USA.

About ALSO.At ALSO, we are redefining electric mobility. Originally a part of Rivian, our passionate team comprises builders, dreamers, and innovators dedicated to creating groundbreaking, vertically integrated small electric vehicles (EVs) that address today's and tomorrow's global mobility challenges. Our vision is to inspire individuals to choose ALSO, transforming local car, truck, and SUV journeys into experiences on vehicles that are more affordable, enjoyable, and 10-50 times more efficient.As a Senior Validation & Tools Engineer specializing in web and cloud validation, your role will be pivotal in ensuring exceptional quality across our interconnected e-mobility platform. You will oversee everything from the initial customer interaction during purchase to the cloud systems that drive our vehicles. Your responsibilities will include designing and executing both manual and automated tests for web applications, APIs, and cloud integrations, as well as validating data telemetry and end-to-end connectivity. Collaborating closely with developers, data analysts, and product teams, you will enhance the reliability of every release and promote automation and monitoring to accelerate validation processes.This highly collaborative role requires the ability to seamlessly transition between web and IoT domains. You should enjoy converting complex testing protocols into scalable frameworks and dashboards while possessing the independence and initiative to drive projects and ensure successful implementations.

About FlowAt Flow, we are redefining the essence of living, working, and connecting. We are more than just a real estate company; Flow is a pioneering brand, a sophisticated technology platform, and a dynamic operational ecosystem encompassing condominiums, hotels, multifamily residences, and office spaces. Our goal is to create a transformative living experience that emphasizes flexibility, connectivity, and authentic community, delivering real value to everyone who calls Flow home.Our mission embodies oneness: prioritizing our residents and their experiences while nurturing connections with ourselves, each other, and the environment. By placing people at the heart of our endeavors, we are cultivating vibrant, human-centric communities where life, work, creativity, and leisure seamlessly coexist.Position OverviewAs an integral part of our engineering team, you will play a pivotal role in shaping the technical landscape at Flow. We are actively seeking a Senior Platform Engineer who is passionate about designing, developing, and deploying robust platform solutions while ensuring the reliability, scalability, and security of our infrastructure. Your expertise will be crucial in propelling Flow towards its objectives and enhancing the productivity of our product engineering team.At Flow, we are committed to leveraging cutting-edge technology to refine decision-making processes within the organization. As trailblazers in our sector, we aim not just to adapt to the swiftly evolving realm of platform engineering but to lead its advancement.

Join Rubrik, a leader in cloud data management, as an Engineering Manager. In this pivotal role, you will lead a talented team of engineers, driving innovation and ensuring the successful delivery of our cutting-edge products. Your strategic vision and technical expertise will be crucial in shaping the future of our engineering practices, fostering a culture of excellence and collaboration.