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Join Cloudflare as a Distributed Systems Engineer within our dynamic Data Platform team, focusing on Analytics and Alerts. In this position, you will play a pivotal role in building and optimizing distributed systems that power our data analytics capabilities, providing real-time insights and alerts to enhance our customer experience.
Cloudflare is a global leader in web performance and security, helping to build a better Internet. We protect and accelerate any Internet application without adding hardware, installing software, or changing a line of code.
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Straia
About StraiaAt Straia, we are pioneering the AI-native intelligence layer for colleges and universities.Colleges currently operate on a myriad of isolated systems, causing staff to expend countless hours reconciling data, generating reports, and seeking insights. Straia revolutionizes this process by integrating institutional data and employing AI agents to …
Monaco
Monaco is revolutionizing the startup ecosystem with its innovative revenue engine, designed to replace outdated CRM systems and fragmented sales solutions with an AI-driven platform.We are seeking a talented Senior Platform Engineer to join our team, focusing on the development of Monaco's cutting-edge data and machine learning platform. Your expertise will help establish the pipelines, contextual systems, and infrastructure that underlie our AI-enhanced products. You will play a pivotal role in ensuring that our models, agents, and workflows deliver real value in production.This is a highly impactful position that sits at the crossroads of data engineering, distributed systems, and applied AI.
Join Our Team at Hayden AIAt Hayden AI, we are dedicated to revolutionizing public transit and government operations through innovative computer vision technologies. Our mission is to tackle real-world challenges faced by transit systems, enabling them to enhance safety, optimize transportation, and contribute to a sustainable future.We develop advanced mobile perception systems designed to improve transit flow and street safety. As a part of our dynamic team, you will work at the forefront of technology, utilizing AWS and GCP cloud services while developing cutting-edge Linux-based edge devices.Role OverviewWe seek an enthusiastic Senior Software Engineer to enhance our data platform, ensuring it is reliable, scalable, and high-performing. In this role, you will design and construct core data infrastructure, optimize data pipelines, uphold data quality standards, and collaborate closely with product and data science teams to deliver transformative data solutions that drive business insights.
Airbyte
Airbyte stands at the forefront of open-source data movement, enabling data teams to seamlessly transfer information from diverse applications, APIs, unstructured sources, and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors and a widespread adoption across hundreds of thousands of companies, we have demonstrated the viability of large-scale data integration. Our ongoing mission is to construct an advanced agentic data infrastructure, meticulously designed for AI agents requiring swift and accurate access to data across numerous sources. We aim to make data universally accessible and actionable.Having secured $181M from leading investors such as Benchmark, Accel, Altimeter, Coatue, and Y Combinator, we are committed to a product-led growth strategy where we create exceptional solutions that resonate with our users. This funding empowers us to explore innovative avenues while maintaining a nimble and experimental approach in an AI-driven landscape.The Role:As a critical member of the Data Replication team, you will serve as an infrastructure and reliability engineer within a full-stack product team that executes over 3 million sync jobs weekly, facilitating thousands of data use cases across various regions and cloud environments. You will be responsible for building and maintaining the infrastructure, establishing reliability standards, reducing incidents, and streamlining the shipping process for engineers through enhanced tooling. You should feel equally at home working with Terraform files, Kubernetes clusters, and postmortem documentation.We encourage our engineers to actively leverage AI as a force multiplier—utilizing agentic tools to automate repetitive tasks, enhance incident response, and develop smarter internal tooling. If you haven't yet embraced this approach, we hope you're eager to start. We value how you work just as much as what you produce. Trust, transparency, and craftsmanship are paramount here.What You’ll Do:Take ownership of the infrastructure that supports the Data Replication platform, including Kubernetes clusters, CI/CD pipelines, secrets management, networking, and cloud resource configuration across AWS and GCP.Collaborate with product engineers to ensure reliable integration of product features with infrastructure.Enhance observability, alerting, and anomaly detection systems with a focus on LLM automation.Develop and improve AI-augmented release and internal tooling, including canary deployments, progressive rollouts, automated release qualification, and rollback automation—all with a focus on LLM automation.Establish high standards for infrastructure within the team by creating self-serve tools, writing runbooks, and mentoring engineers.
Join Cloudflare as a Distributed Systems Engineer focusing on our Data Platform, specifically in the area of Logs and Audit Logs. In this pivotal role, you will drive the design and implementation of scalable distributed systems that enhance our data processing capabilities.As part of our innovative team, you will collaborate with cross-functional partners to optimize data flow and ensure the integrity of logs across our infrastructure. Your expertise will contribute to building a robust platform that supports analytics and monitoring for our diverse customer base.
Jordan Park is dedicated to providing exceptional investment management and financial guidance to a unique community of individuals, families, and institutions. Our clients have significantly impacted business, philanthropy, government, and society. Our team consists of compassionate problem solvers with diverse experiences. We tackle complexity and overcome challenges to empower our clients in reaching their ideal outcomes.Our mission is to enrich lives and legacies.Senior Associate, Software Engineer – Data Platform & AI ApplicationsSan Francisco, California The Opportunity We are looking for a Senior Associate to contribute to the development and expansion of our enterprise data platform and AI application ecosystem.This position merges advanced data engineering, cloud infrastructure, DevOps practices, and applied AI development. As a senior individual contributor, you will own significant platform components and work closely with leadership and business teams, providing a hands-on technical presence with substantial scope and influence.Your responsibilities will include enabling trustworthy analytics firm-wide, integrating proprietary data into AI systems, automating operational workflows, and crafting customized applications and tools.
Join us in creating the backbone of data infrastructure for real-world robotic operations.As robotics transitions from research labs to real-world applications across factories, warehouses, vehicles, and field deployments, understanding the intricacies of robotic performance becomes critical. When robots encounter failures or unexpected behaviors, data analysis is key to deciphering the underlying issues.At Foxglove, we are at the forefront of building tools for observability, visualization, and data infrastructure that empower robotics and autonomous systems teams to manage, analyze, and derive insights from vast amounts of multimodal sensor data collected from operational systems and production fleets.Role OverviewWe are seeking a passionate ML Platform Engineer with robust infrastructure expertise to design, deploy, and scale our data platform systems. This platform-centric role will allow you to take charge of the infrastructure layer that facilitates machine learning in production environments, going beyond just the models themselves.Your responsibilities will encompass ensuring the reliability, scalability, and performance of the ML platform, including areas such as inference serving, pipeline orchestration, training infrastructure, and evaluation frameworks. You will be tackling substantial challenges such as managing petabyte-scale multimodal robotics data and optimizing high-throughput retrieval and embedding pipelines in a hands-on infrastructure capacity.Key ResponsibilitiesDesign and operationalize production inference infrastructure, focusing on model serving, autoscaling, load balancing, and cost efficiency across cloud environments.Own the platform architecture for embedding and retrieval pipelines that enable semantic search across multimodal robotics data (image, video, point cloud, and time series).Develop and sustain the training and evaluation infrastructure that supports rapid model performance iteration, including job orchestration, experiment tracking, and dataset versioning.Lead decisions on cloud infrastructure (AWS/GCP) that affect latency, throughput, reliability, and scalability.Establish platform abstractions and internal tools that empower product engineers to deliver ML-enhanced features without managing infrastructure directly.Assess, integrate, and operationalize third-party ML infrastructure components while establishing clear build vs. buy frameworks for the team.
Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.
Drivetrain
At Drivetrain, we are dedicated to empowering businesses with the insights they need to make informed decisions. Our advanced financial planning and decision-making platform equips organizations to scale effectively and reach their goals with confidence.As a remote-first company based in the vibrant San Francisco Bay Area, Drivetrain was founded in 2021 by a team of former Googlers. We are rapidly growing and backed by top-tier venture capital firms, setting us on a path to success. Culture of Trust: We bring together talented individuals from around the world, offering them the freedom and autonomy to excel in their roles. We believe in our people. Transparent Communication: Our philosophy is that open access to information fosters creativity and innovation among our teams. Innovation Encouraged: We cultivate an environment where new ideas can flourish, allowing our employees to take risks and learn from their experiences. Every voice is valued, and the best ideas will prevail. Customer-Driven Approach: Our product-led growth strategy hinges on continuous learning from our customers, collaborating to develop exceptional software solutions at Drivetrain.
Coframe
Role overview The Platform Engineer at Coframe will help shape the core infrastructure that powers the company’s engineering efforts. Based in the SF Bay Area, this role involves designing and refining the systems that underpin how teams build, deploy, and manage software. Day-to-day work includes using AI tools to improve productivity and streamline deployment processes. The engineer will also focus on strengthening monitoring, enhancing security, and managing costs across the platform. Impact This position carries significant responsibility. The solutions developed will directly support all teams at Coframe, influencing how software is created and maintained across the company. The work done in this role will help set the direction for future engineering practices.
Oura Health Ltd.
Role overview Oura Health seeks a Senior Data Engineer for its Data & ML Platform team. This hybrid role is based in San Francisco, California. The focus is on designing and building data solutions that enable machine learning projects and enhance analytics across the company. What you will do Create and maintain data architecture to support analytics and machine learning efforts Develop and refine ETL processes and data pipelines Work closely with teams throughout Oura Health to strengthen data-driven decision making Handle data modeling and data warehousing to ensure systems scale and perform reliably Requirements Proven experience building and maintaining data platforms for analytics and machine learning Strong background in data modeling, ETL, and data warehousing Interest in health technology and a desire to create impact through data Comfort working with cross-functional teams
Join Our Mission to Empower Communities!At GoFundMe, we are the world’s leading platform dedicated to harnessing the power of community to help individuals support one another. Since our inception in 2010, we have facilitated the raising of over $40 billion for various causes, uniting both individuals and nonprofits in a safe and secure environment.We are on the lookout for a Senior Staff Data Platform Architect to become an integral part of our Data Platform team. In this critical role, you will lead the modernization of our existing data platform and architect a scalable data, reporting, and AI ecosystem that not only enhances our product offerings but also meets evolving business needs. Your vision will shape a robust, secure, and future-ready cloud-native data architecture. By establishing best practices, optimizing performance, and collaborating across teams, you will empower GoFundMe to leverage data as a strategic asset for insights, innovation, and sustainable growth.This position is based in the San Francisco Bay Area, with an in-office requirement of 3 times a week.
Forge Global, Inc.
At Forge, we recognize that our team is our most valuable asset. As pioneers in the private market technology sector, we aim to create a brighter future for all. This vision is embodied in our core values of boldness, accountability, and humility. We witness the impact of our vision daily, supporting the teams behind the most remarkable innovations of our era, from space exploration to artificial intelligence, and beyond.With our liquidity solutions, exclusive insights, custody offerings, and a dynamic marketplace, Forge strives to establish a leading-edge technology infrastructure that empowers a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can reward shareholders with pre-IPO liquidity, and both individual and institutional investors can engage with the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, creating a significant network effect.Our ability to provide these impactful financial solutions has sparked tremendous interest from investors, heightened customer demand, and a pressing need to expand our team to cater to the evolving requirements of more companies, teams, and innovators.The Role:As part of Forge's platform engineering team, you will join a group dedicated to innovation, developing scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams utilize a wide array of technologies to support our core platform, Metal, and we thrive on swift execution, delivering value, and adhering to our values of being bold, humble, and accountable.We are in search of a dedicated platform engineer with a minimum of 7 years of experience in delivering robust, scalable, and secure infrastructure solutions that are easy to maintain. The ideal candidate excels in collaborative environments and is driven by the desire to foster success through effective communication, crafting exceptional developer experiences, and making informed, data-driven decisions.To excel as a Staff Platform Engineer at Forge, you will leverage your expertise in infrastructure and software to deliver high-quality platforms both independently and through technical leadership of others. You will tackle advanced infrastructure projects – ranging from multi-cluster orchestration to SOC 2 compliance automation – while also being an engaged and collaborative team member.Location: This role requires in-office attendance 2-3 days a week in San Francisco, CA.
Juniper Square
About Juniper SquareJuniper Square is on a mission to democratize private markets by enhancing access to privately owned assets such as commercial real estate, private equity, and venture capital. With these assets representing a significant portion of the financial ecosystem, we are committed to digitizing these markets to foster efficiency, transparency, and wider accessibility. If you are passionate about leveraging technology to create a positive impact in the world, we invite you to join our values-driven organization.At Juniper Square, we embrace diverse work arrangements, offering opportunities for fully remote work or full-time office engagement. With a strong focus on digital-first operations, our teams collaborate seamlessly across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England. We also maintain physical offices in San Francisco, New York City, Mumbai, and Bangalore for those who prefer an in-person work environment.Your RoleWe are looking for a Data Engineering Architect who will spearhead the evolution of our data engineering and analytics functions into a cutting-edge, scalable, and product-centric Data Platform organization. You will be responsible for defining the vision, architecture, operational model, and execution roadmap necessary to transition from traditional project-based data delivery to a self-service, reliable, governed, and analytics-ready data platform across the organization.This is a hands-on leadership position requiring a technical expert who will actively design systems, prototype solutions, review code, and guide teams through intricate challenges. You will be tasked with modernizing our data stack, establishing platform standards, implementing best practices for reliability and governance, and empowering teams to develop data products efficiently and securely.In addition to platform transformation, you will ensure that the data ecosystem provides high-quality analytics and actionable insights. You will architect solutions for data ingestion, processing, modeling, semantic layers, analytics, and AI/ML enablement, ensuring that data is trustworthy, accessible, secure, and high-performing.Collaboration with engineering leadership, product teams, analytics, and executive stakeholders will be vital to align technology strategy with business objectives, mentor engineers, and cultivate a data-driven culture. Success in this role goes beyond delivering a modern platform; it involves enhancing the team's capabilities and fostering an innovative environment.
Role overview ditto is seeking a Senior Platform Engineer, Operator for a fully remote role. This position is open to candidates located in Atlanta, Austin, San Francisco, or Seattle. The focus is on designing, building, and maintaining systems that keep company operations running smoothly and efficiently at scale. What you will do Design and implement systems that improve platform scalability, performance, and reliability. Maintain and enhance the existing infrastructure to support ongoing business operations. Work closely with cross-functional teams to address technical challenges and streamline processes. Use technical expertise and leadership to drive key platform initiatives. Requirements Extensive experience in platform engineering. Strong problem-solving abilities and a collaborative mindset. Proven ability to contribute technical insights and lead engineering projects. Location This is a remote position. Candidates must be based in Atlanta, Austin, San Francisco, or Seattle.
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.
At Fastly, we empower individuals to maintain meaningful connections with the things they cherish. Our cutting-edge edge cloud platform allows customers to deliver exceptional digital experiences with speed, security, and reliability by processing and securing applications as close to end-users as possible — right at the edge of the Internet. Our platform is engineered to harness the potential of the modern internet, enabling programmability and supporting agile software development. We proudly serve some of the world's most influential companies, including GitHub, Yelp, Paramount, and JetBlue.Join us in building a more trustworthy Internet.Posting Open Date: Reposted March 30, 2026Anticipated Posting Close Date*: April 20, 2026*This job posting may close earlier due to high applicant volume. Senior Principal Engineer, Platform EngineeringAs a member of Fastly’s Platform Engineering team, you will be instrumental in establishing the essential frameworks that enable engineers to deliver quickly, safely, and at scale. In the role of Senior Principal Engineer, you will guide the technical direction and spearhead cross-organizational initiatives aimed at enhancing our platform, developer experience, and operational excellence. Collaborating closely with fellow engineers, you will work to eliminate friction, standardize best practices, and create paved roads to expedite product delivery. This is a highly collaborative and hands-on position, representing the Platform Engineering organization and reporting directly to the Senior Director of Engineering.
Join Our Innovative TeamAbout the TeamAt OpenAI, our Platform team is at the forefront of empowering millions of developers and enterprises as they leverage our cutting-edge AI models. We provide robust APIs and intelligent solutions that are utilized by startups and Fortune 500 companies worldwide. Collaborating closely with product managers, engineers, and designers, we are dedicated to building an exceptional platform that advances the boundaries of AI technology.About the RoleAs a Data Scientist within our Platform team, you will champion a data-centric approach for OpenAI’s API and B2B offerings. Your responsibilities will include defining critical metrics for developer success and enterprise impact, assessing the effects of new models and features, and partnering with product managers and engineers to enhance model quality, reliability, responsiveness, and cost-effectiveness. Your contributions will influence how countless products integrate agentic AI capabilities.This position is based in San Francisco, CA. We embrace a hybrid work model, requiring you to be in the office three days a week, and we provide relocation assistance for new team members.Your ResponsibilitiesIntegrate with the Platform product team as a valued collaborator, identifying opportunities to enhance developer experience, reliability, and growth.Establish key performance indicators across the developer journey (activation, retention, growth), along with latency and cost benchmarks for new features and models.Design, execute, and analyze A/B tests and controlled rollouts for new model versions, pricing strategies, API enhancements, and B2B product launches.Create comprehensive dashboards and self-service data tools for product, engineering, and go-to-market teams.Translate product insights into actionable feedback for the Research team, addressing areas such as failure modes and model evaluation gaps.Ideal Candidate Profile5+ years of experience in a quantitative role within dynamic, high-growth environments (experience with platforms, APIs, or B2B products is a plus).Proficient in SQL and Python, with a proven track record of proposing, designing, and conducting rigorous experiments.Demonstrated ability to define and operationalize metrics from inception, including reliability, latency, cost, and safety considerations.Exceptional communication skills to collaborate effectively with product managers, engineers, and executives.Strong strategic instincts that go beyond statistical analysis—capable of making informed decisions about trade-offs and business impacts.Preferred QualificationsBackground in developer experience and B2B product optimization.
About FaireFaire is a transformative online wholesale marketplace, driven by the conviction that local businesses are the future. Independent retailers around the globe generate more revenue than massive corporations like Walmart and Amazon combined, yet individually, they remain small. At Faire, we harness technology, data, and machine learning to connect this vibrant community of entrepreneurs. Think of your favorite local boutique — we empower them to discover and sell the best products from around the world. With our innovative tools and insights, we aim to level the playing field, enabling small businesses to thrive against larger competitors.By championing the growth of independent businesses, Faire positively impacts local economies on a global scale. We’re in search of intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you value community, we invite you to be part of ours.About this RoleAs the Senior Staff Machine Learning Platform Engineer, you will spearhead the technical vision and evolution of Faire's ML platform. You will establish standards, influence organization-wide architecture, and lead intricate, cross-functional initiatives that enhance data science velocity at scale. This position is crucial for adapting ML workflows to leverage modern AI productivity tools. You will not only develop models but also design the systems that enable those models to empower tens of thousands of small retailers in competing and growing their local businesses.
Join us in building the data infrastructure that empowers robots to operate seamlessly in the real world.The field of robotics is rapidly transitioning from research to real-world applications across factories, warehouses, vehicles, and outdoor environments. When robots encounter failures, exhibit unexpected behaviors, or require enhancements, engineers depend on data to uncover the underlying issues.At Foxglove, we are at the forefront of developing observability, visualization, and data infrastructure that enables this critical analysis. Our innovative tools are utilized by robotics and autonomous systems teams to effectively ingest, store, query, replay, and analyze vast amounts of multimodal sensor data from active systems and production fleets.Recognizing that data is crucial for physical AI, we seek to enhance our Data Platform, transforming it from a passive data lake into a dynamic engine for dataset creation, discovery, and automated evaluation.In this pivotal role, you will steer Foxglove's largest investment area for 2026, taking charge of evolving the Data Platform into a standalone, high-velocity product line. Your focus will extend beyond mere storage, aiming to establish sophisticated workflows that encompass all phases of research, development, and operations.Key ResponsibilitiesDevelop and own the Data Strategy & Roadmap: Define the platform's evolution to capitalize on opportunities in data management, discovery, curation, and evaluation.Drive Technical Innovation: Collaborate with our Search and Curation engineering teams to create advanced data layers tailored to the intricate demands of real-world operations.Enhance Product-Market Fit: Shift the product from being merely a visualization tool to a core value proposition for Foxglove. Lead design partnerships with key customers to develop and validate new functionalities before they are widely released.Commercialize Consumption: Partner with GTM to refine and execute a product-led growth strategy that aligns with customer value creation and integrates into Enterprise sales.Establish Seamless Integration: Ensure a smooth connection between the Data Platform and our Visualization and Fleet products, generating a
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