Software Engineer - Data Platform Infrastructure

Who We AreBaton is Ryder’s innovative product development division dedicated to leveraging cutting-edge technologies to transform the transportation and logistics landscape. Managing over $10 billion in freight, our technology has a significant impact across the U.S. economy.We are committed to creating and delivering software that not only meets but exceeds the needs of Ryder and its 50,000+ clients, which includes some of the most recognized brands globally. Our projects range from user-centric applications to the robust data platform that will drive the future of Ryder’s innovations.Baton’s mission: To enable a supply chain that operates on autopilot.Since Ryder’s acquisition of Baton in 2022, we have been operating with the agility of a startup while benefiting from the extensive reach of a Fortune 500 company. If you're passionate about tackling intricate challenges and making a real impact in the backbone of the American economy, you’ll thrive with us.Role: Software Engineer - InfrastructureDepartment: Data PlatformLocation: Hayes Valley, San Francisco, CA

Join Discord, a platform that connects over 200 million users monthly, primarily through gaming. With over 90% of our users engaging in gaming activities, they spend a staggering 1.5 billion hours playing unique titles every month. Discord is pivotal in shaping the future of gaming, enabling seamless interactions before, during, and after gameplay.Every day, countless gamers gather on Discord to strategize, celebrate victories, and foster communities around their favorite games. Behind our voice channels and streaming sessions lies vast amounts of data, capturing the essence of gaming connections.We are in search of an enthusiastic Software Engineer eager to construct data infrastructure at an enormous scale, with a genuine passion for supporting gaming communities. You will play a crucial role in developing the next-generation Data Platform that drives insightful decisions on one of the most vibrant platforms globally.If you are a Software Engineer who thrives on discussing distributed systems, prioritizes user privacy, and seeks to make data-driven decisions that impact millions of gamers worldwide, we would love to hear from you.For more insights into Discord's Data Platform, check out our engineering blog, including how we built our modern data stack leveraging open-source tools!

About Fable SecurityIn today’s digital landscape, AI-driven threats and human errors represent the most significant risks to enterprise security. Cybercriminals exploit human behavior, contributing to 70% of security breaches. At Fable, we empower individuals to transform from potential targets to active defenders with innovative tools.Fable is at the forefront of human risk management, offering a platform that effectively influences employee behavior. Our user-friendly, scalable solution analyzes complex employee data, identifies high-risk behaviors, and delivers timely interventions directly to users in their work environment.Supported by notable investors like Redpoint Ventures and Greylock Partners, and founded by former members of the Abnormal Security team, Fable is tackling one of cybersecurity's greatest challenges in a rapidly expanding market. Our team comprises alumni from esteemed organizations such as Meta, Twitter, and Flexport, as well as top universities including Waterloo, Columbia, and Stanford. This is an exceptional opportunity for you to join us at a time of rapid growth and help shape the future of security.Why Join UsBuild and scale the foundational data infrastructure that drives a groundbreaking product.Collaborate closely with engineering, data science, and product teams to operationalize data at scale.Become part of a small, high-caliber team where your contributions will have a significant impact.As part of an early-stage company, every engineer plays a crucial role in shaping the evolution of our products and the company's approach to data management.Your RoleAs a Platform and Infrastructure Engineer, you will be instrumental in developing and scaling the core systems that underpin Fable’s product and data operations.Your responsibilities will span backend systems including real-time services and data pipelines. You will ensure reliability, scalability, and optimal performance across all layers. This highly collaborative role involves working closely with data and ML teams, contributing to systems that effectively manage data ingestion, processing, and delivery.This role demands cross-functional collaboration with engineering, data, and product teams to create robust, production-grade systems that grow alongside the company.ResponsibilitiesDesign, develop, and maintain scalable backend and infrastructure systems.Collaborate with cross-functional teams to deliver high-quality software solutions.Ensure system reliability, performance, and security through rigorous testing and monitoring.

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!

About Our TeamThe Scaling team at OpenAI is dedicated to designing, constructing, and managing essential infrastructure that powers groundbreaking research.Our mission is straightforward: to expedite the advancement of research towards Artificial General Intelligence (AGI). We achieve this by developing foundational systems that researchers depend on, spanning from core infrastructure elements to specialized applications tailored for research. Our systems are designed to scale efficiently with the growing complexity and size of our workloads while ensuring reliability and user-friendliness.About the PositionWe are seeking a Senior Software Engineer to take charge of critical production infrastructure from start to finish.This role primarily focuses on backend and systems engineering, with a strong emphasis on low-level performance, distributed systems, and the hands-on management of vital services at scale. You will be responsible for transforming ambiguous challenges into actionable plans, delivering pragmatic solutions promptly, and refining them based on real-world feedback and iterations.This position goes beyond a standard Python backend role; we are specifically on the lookout for candidates with robust systems experience in Rust or C++, particularly in performance-sensitive infrastructure.This is an in-office role based in San Francisco, CA, following a hybrid model of three days in the office per week. We also provide relocation assistance for new hires.Your ResponsibilitiesManage critical infrastructure throughout its lifecycle, including design, implementation, deployment, operation, and ongoing improvements.Develop and maintain high-performance backend systems in Rust or C++ that facilitate core research operations.Design and optimize distributed data and serving systems, considering partitioning, replication, consistency, retries, backpressure, and failure isolation.Identify and resolve production bottlenecks related to latency, throughput, contention, hot spots, and overload scenarios.Oversee mission-critical services, including on-call duties, incident management, postmortems, observability, deployment safety, and zero-downtime migrations.Enhance the reliability of services running on Kubernetes, focusing on resource tuning and failure management.Collaborate closely with engineers and researchers to deliver fast, dependable, and effective systems.Elevate standards through strong technical judgment, ownership, and commitment to quality.You Will Excel in This Role If You Have:A proven track record of owning and delivering operationally critical systems end to end in ambiguous settings.Experience with systems programming in Rust or C++.Strong analytical skills and a problem-solving mindset.Excellent communication and collaboration skills.

Position OverviewJoin OpenEvidence as a Data Infrastructure Software Engineer, where you will engineer comprehensive systems that drive essential product and research operations. Your focus will be on optimizing performance, ensuring scalability, and enhancing accuracy, while enjoying the autonomy to manage the infrastructure that assists healthcare professionals in navigating complex clinical decisions in real-time.We value exceptional creators who thrive in versatile roles. Our engineers engage across various products and projects, taking ownership wherever they can make the most significant impact.About OpenEvidenceOpenEvidence is the leading medical AI platform globally, utilized by over 40% of clinicians in the U.S. in just over a year through organic product-led growth. As a $12 billion company, our engineering team comprises 30 talented individuals from MIT, Harvard, and Stanford. We believe that groundbreaking products are born from a small group of exceptional builders, driven by focused goals and empowered to take ownership and act swiftly. We are expanding our team to capitalize on an unparalleled opportunity to set the standard for medical AI platforms.If you are a top-tier engineer or scientist eager to push the boundaries and achieve tangible outcomes that affect millions of lives, we want to connect with you.Our CultureWe expect our work to be performed at an elite level. The journey from concept to execution and scaling is akin to a professional sport, where excellence is non-negotiable. We believe that the creation of innovative technologies is only achievable through complete ownership. Significant achievements happen when individuals take the initiative to see them through.Your ProfileThis role is not for those seeking a 9-to-5 job or merely looking to write papers. If you are ready to dive into the trenches, tackle challenges head-on, and create something from scratch that could impact millions and drive substantial revenue, you might be the perfect fit.We seek brilliant builders who are intelligent, ambitious, resourceful, self-reliant, detail-oriented, driven, hardworking, and humble. Does this sound rare? It is, as we have only found 30 of them so far, and we are eager to discover more.

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.

At Figma, we are expanding our team of dedicated creatives and innovators committed to making design accessible for everyone. Our platform empowers teams to transform ideas into reality—whether you're brainstorming, prototyping, converting designs into code, or utilizing AI for enhancements. From concept to product, Figma enables teams to optimize workflows, accelerate processes, and collaborate in real-time from anywhere in the world. If you're passionate about shaping the future of design and teamwork, we invite you to join us!The Data Platform team at Figma is responsible for constructing and managing the essential systems that drive analytics, AI/ML initiatives, and data-informed decision-making across our organization. We cater to a wide array of stakeholders, including AI researchers, machine learning engineers, data scientists, product engineers, and business teams that depend on data for insights and strategic planning. Our team is tasked with owning and scaling critical platforms such as the Snowflake data warehouse, ML Datalake, orchestration and pipeline infrastructure, and extensive data ingestion and processing systems, overseeing all data transactions that occur within these platforms.Despite our small size, we tackle significant, high-impact challenges. In the upcoming years, we are focused on developing the data infrastructure layer for Figma's AI-driven products, enhancing cost and performance efficiencies across our data stack, scaling our ingestion and reverse ETL capabilities for new product applications, and reinforcing data quality, reliability, and compliance at every level. If you are enthusiastic about creating scalable, high-performance data platforms that empower teams across Figma, we would love to connect with you!This is a full-time role that can be performed from one of our US hubs or remotely within the United States.

Founded in 2007, Airbnb has transformed the way people experience travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and authentic experiences, fostering connections with local communities.The Team You Will Join:As a pivotal member of the Data Warehouse Infrastructure team, you will help shape the backbone of Airbnb's big data capabilities, enabling hundreds of engineers to efficiently collect, manage, and analyze vast amounts of data. We leverage cutting-edge open-source technologies such as Hadoop, Spark, Trino, Iceberg, and Airflow.Typical Responsibilities:Design and architect Airbnb's next-generation big data compute platform to enhance data ETL, analytics, and machine learning efforts.Oversee the platform's operations, focusing on improving reliability, performance, observability, and cost-effectiveness.Create high-quality, maintainable, and self-documenting code while engaging actively in code review processes.Contribute to open-source projects, making a significant impact on the industry.

At Thinking Machines Lab, our vision is to enhance human potential by advancing collaborative general intelligence. We are dedicated to creating a future where individuals have the resources and knowledge to harness AI for their specific objectives and aspirations.Our team comprises scientists, engineers, and innovators who have developed some of the most popular AI products, including ChatGPT and Character.ai, as well as influential open-weight models like Mistral, along with highly regarded open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking a talented engineer to enhance our data infrastructure. You will become part of a dynamic, high-impact team tasked with designing and scaling the foundational infrastructure for distributed training pipelines, multimodal data catalogs, and sophisticated processing systems that manage petabytes of data.Our infrastructure is pivotal; it serves as the foundation for every groundbreaking achievement. You will collaborate directly with researchers to expedite experiments, develop novel datasets, optimize infrastructure efficiency, and derive essential insights from our data repositories.If you are passionate about distributed systems, large-scale data mining, and open-source tools such as Spark, Kafka, Beam, Ray, and Delta Lake, and enjoy building innovative solutions from scratch, we encourage you to apply.Note: This is an evergreen role that we keep open continuously for expressions of interest. We receive a high volume of applications, and while there may not always be an immediate position that aligns perfectly with your skills and experience, we encourage you to apply. We regularly review applications and reach out as new opportunities arise. You are welcome to reapply after gaining more experience, but please refrain from applying more than once every six months. We may also post for specific roles for particular projects or team needs, and in those cases, you are welcome to apply directly in addition to this evergreen role.

About Our TeamAt OpenAI, our Data Platform team is at the heart of our innovative approaches to data management, powering essential product, research, and analytics workflows. We manage some of the largest Spark compute fleets in production, architect data lakes and metadata systems on Iceberg and Delta, and envision exabyte-scale architectures. Our high-throughput streaming platforms utilize Kafka and Flink, while our orchestration is powered by Airflow. We also support machine learning feature engineering tools such as Chronon. Our mission is to provide secure, reliable, and efficient data access at scale, thereby enhancing intelligent, AI-assisted data workflows.Join us in building and maintaining these core platforms that are foundational to OpenAI's products, research, and analytics capabilities.We are not just scaling infrastructure; we are transforming the way people engage with data. Our vision includes intelligent interfaces and AI-powered workflows that make data interactions faster, more reliable, and intuitive.About the PositionIn this role, you will focus on constructing and managing data infrastructure that supports extensive compute fleets and storage systems optimized for high performance and scalability. You will be instrumental in designing, developing, and operating the next generation of data infrastructure at OpenAI. Your responsibilities will encompass scaling and securing big data compute and storage platforms, building and maintaining high-throughput streaming systems, ensuring low-latency data ingestion, and facilitating secure, governed data access for machine learning and analytics. You will also prioritize reliability and performance at extreme scales.You will have complete ownership of the full lifecycle: from architecture to implementation, production operations, and on-call responsibilities.You should be experienced with platforms such as Spark, Kafka, Flink, Airflow, Trino, or Iceberg. Familiarity with infrastructure tools like Terraform, along with expertise in debugging large-scale distributed systems, is essential. A passion for addressing data infrastructure challenges in the AI domain is a must.This role is based in San Francisco, CA. We offer a hybrid work model requiring 3 days in the office each week and provide relocation assistance for new hires.Responsibilities:Design, build, and maintain data infrastructure systems including distributed compute, data orchestration, distributed storage, streaming infrastructure, and machine learning infrastructure, ensuring they are scalable, reliable, and secure.Ensure our data platform can scale significantly while maintaining reliability and efficiency.Enhance company productivity by empowering your fellow engineers and teammates through innovative data solutions.

About UsAt Sierra, we are pioneering a transformative platform designed to empower businesses to cultivate enhanced, more human-centric customer experiences through the power of AI. Headquartered in San Francisco, we proudly maintain a collaborative in-person culture, with expanding offices in Atlanta, New York, London, France, Singapore, and Japan.Our operations are rooted in a set of core values that shape our culture and guide our actions: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles form the bedrock of our endeavors, and we are unwavering in our commitment to embody them in every aspect of our work.Our co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience to Sierra. Bret, who serves as Board Chair of OpenAI, has previously held leadership roles as co-CEO of Salesforce and CTO of Facebook, while Clay boasts an 18-year tenure at Google, where he led innovative projects including Google Lens and Project Starline.Your RoleAs a key member of our dynamic full-stack data team, you will play a pivotal role in enhancing the intelligence of our AI agents with each interaction. You will be instrumental in developing real-time data pipelines, analytics tools, and deep personalization frameworks that convert millions of conversations into actionable business insights. Your responsibilities will encompass:Data Foundations: Design and construct our foundational platform capable of efficiently managing data at scale with minimal latency. This includes developing our real-time eventing infrastructure, streaming and batch ETL pipelines, and an Iceberg-based data lakehouse. You will take ownership of interactive OLAP querying systems, orchestration processes, and experimentation frameworks, ensuring our data remains reliable, rapid, and user-friendly across the organization.Memory & Personalization: Drive the evolution of intelligent experiences by building systems for long-term agent memory, crafting reusable Customer Data Platform (CDP) components, and implementing optimization loops that enable our agents to tailor interactions, significantly enhancing business outcomes.What We’re Looking ForWe are eager to connect with candidates who possess substantial expertise in one or more of the following areas:Platform EngineeringDemonstrated experience in designing and developing scalable data architectures.

Join our team as a Senior Software Engineer focused on our Data Platform at Gusto. In this role, you will leverage your expertise in designing and building scalable data systems that drive business decisions and enhance our platform's capabilities. Your contributions will directly impact our ability to deliver exceptional services to our customers.You will collaborate with cross-functional teams, ensuring that our data architecture is robust, efficient, and aligned with our business goals. If you are passionate about data engineering and are looking for a place to innovate and grow, we want to hear from you!

Foxglove develops data infrastructure for robotics teams operating in real-world environments such as factories and warehouses. As robots leave the lab, engineers need reliable tools for analyzing data, diagnosing issues, and improving system performance. Foxglove delivers observability, visualization, and data management solutions designed to help teams manage large volumes of multimodal sensor data from deployed fleets. Role overview This Software Engineer - Robotics Data Infrastructure position centers on building and optimizing the systems behind Foxglove’s products. The scope covers desktop and web visualization tools, backend services for data ingestion and streaming, and client libraries running directly on robots. Work ranges from enhancing decoding performance in Rust, to extending MCAP tooling in C++, integrating new data sources with TypeScript, and occasionally working with customers to resolve performance issues. What you will do Design, build, and deploy product features from start to finish, incorporating feedback from users. Work across the stack: from Rust and C++ libraries on devices, to backend cloud services, to browser-based visualization tools. Identify and address performance bottlenecks in data pipelines, including ingestion, decoding, streaming, and rendering. Contribute to MCAP and other open-source libraries used by the robotics community. Collaborate with customers and robotics engineers to gather requirements and validate new solutions. Maintain high engineering standards and help foster a culture of ownership within the team. Design systems for efficient storage and querying of petabyte-scale robotics data. Requirements At least 5 years of experience developing production software. Strong proficiency in Rust, C++, and TypeScript, with a willingness to learn new languages or frameworks as needed. Location This position is based in San Francisco, CA.

Jordan Park Group is a premier investment management firm dedicated to providing tailored financial advice to a unique clientele of individuals, families, and institutions. Our clients are distinguished leaders in business, philanthropy, government, and society. Our diverse team embodies empathy and expertise, tackling complexity and challenges to empower clients in achieving their financial aspirations.Our mission is to enhance lives and legacies through strategic financial management.Associate Software Engineer - Data PlatformSan Francisco, CaliforniaYour OpportunityWe are looking for a motivated Technology & Data Engineering Associate to elevate our data platform and enhance data quality initiatives. This role sits at the dynamic intersection of data engineering, analytics, data quality management, and AI integration.The Associate will be responsible for designing, building, and maintaining production-grade data systems, collaborating closely with executives, investment teams, operations, and client services to achieve significant business outcomes. This is a hands-on technical position that offers substantial ownership and visibility within the organization.Your RoleData PlatformDesign, build, and maintain robust SQL data pipelines (e.g., dbt + Snowflake + Python)Develop and manage orchestration workflows (Airflow or equivalent)Create data ingestion processes and API integrationsMonitor pipeline reliability and performance; proactively resolve issuesData Quality & ControlsDevelop deep expertise in the firm’s data, systems, and processesDesign reconciliation frameworks across systems and automate data validation and exception reportingPerform detailed variance analysis and root cause investigationsCollaborate with operations and finance teams to ensure reporting accuracyAnalytics & Business IntelligenceArchitect and maintain Tableau dashboards utilized across the firmTrain and support internal stakeholders on self-service analyticsPython Development & AutomationDevelop Python-based tools for API integrations, data transformations, and ad-hoc analysis

At Plaid, we believe in the power of data-driven decision-making. Our data culture demands robust and scalable data systems that ensure accuracy and completeness. As a Senior Software Engineer focusing on Data Infrastructure, you will play a pivotal role in empowering teams across engineering, product, and business sectors to swiftly and securely extract valuable data insights. Your work will directly enhance our ability to serve customers effectively. You will be responsible for building and optimizing our data and machine learning infrastructure, allowing Plaid engineers to innovate and iterate on products built on consumer-permissioned financial data. Our Data Infrastructure engineers are experts in Data Warehousing, Data Lakehouse architecture, Spark, Workflow Orchestration, and Streaming technologies. You will enhance our existing data pipelines for performance and cost efficiency while creating intuitive abstractions that simplify the development process for other engineers at Plaid.

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.

SentiLink is at the forefront of delivering groundbreaking identity verification and risk management solutions, enabling both institutions and individuals to engage in transactions with utmost assurance. We are revolutionizing the identity verification landscape in the United States by replacing outdated and costly methods with solutions that are ten times faster, more intelligent, and remarkably accurate.Our rapid growth is a testament to our success, with our real-time APIs having verified hundreds of millions of identities, starting with the financial services sector and swiftly branching out into diverse markets. SentiLink is proudly supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our accomplishments have been recognized by notable media outlets including TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker. We are also honored to have been featured on the Forbes Fintech 50 list every year since 2023. In a historical milestone, we became the first company to launch the eCBSV and have provided testimony before the United States House of Representatives regarding the future of identity verification.SentiLink embraces various working styles, offering options that range from fully remote to in-office arrangements. As a digital-first organization, we foster robust collaboration across teams in the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., as well as Gurugram (Delhi) and Bengaluru in India. If you are near one of our offices, we encourage you to join us in-person regularly. Certain roles are specifically designed to be hybrid or in-office; for instance, our engineering team in India predominantly operates from our Gurugram office.Role:We are seeking a skilled Engineering Manager to spearhead our Data Platform team, which is dedicated to building and scaling the data infrastructure that underpins SentiLink’s products and decision-making systems.This integral team is responsible for the pipelines, storage systems, and data services that empower all of our products, facilitate data analysis, and support business intelligence efforts. These systems are fundamental in detecting fraud, driving machine learning models, and delivering valuable insights to our customers.

In an era where software is increasingly integrated with artificial intelligence, Scale AI stands at the forefront of this transformation. Our mission is to revolutionize how individuals interact with AI, enhancing human capabilities and redefining productivity. Our groundbreaking products, including the Generative AI Data Engine and SGP, empower leading enterprises and organizations to harness the power of AI through large language models (LLMs) at an unprecedented scale.As part of our innovative Platform Engineering team, you will play a pivotal role in designing and developing robust data storage, streaming, caching, and indexing systems that are essential for our AI solutions. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to the evolution of AI in various sectors, including enterprise, government, and technology.

About Fable SecurityAt Fable Security, we recognize that AI-driven threats and human error pose significant risks to enterprise security. Cybercriminals exploit human behavior, which is responsible for over 70% of security breaches. Our mission is to empower individuals with the right tools, transforming them from targets into an active line of defense.We have developed a human risk platform that effectively shapes employee behavior. Our user-friendly and scalable platform integrates complex employee data, identifies risky behaviors, and automatically delivers timely, relevant interventions where employees are most engaged—in real time.Supported by renowned investors such as Redpoint Ventures and Greylock Partners, and founded by members of the Abnormal Security team, Fable is addressing one of cybersecurity’s most pressing challenges within a multi-billion-dollar market. Our diverse team includes alumni from Meta, Twitter, and prestigious universities like Columbia, Stanford, and UCLA. As we experience rapid growth, this is a prime opportunity to contribute to and influence the future of security.Why Join UsHelp us build and scale the core data infrastructure that drives a groundbreaking product.Collaborate with engineering, data science, and product teams to operationalize data effectively at scale.Be part of a small, elite team where your contributions will have a significant impact.As part of an early-stage company, every engineer plays a crucial role in shaping product functionality and evolution. You will define not only the technical architecture but also the company’s data philosophy.Your RoleIn the position of Data Infrastructure Engineer, you will be responsible for the architecture, scalability, and reliability of our data platform.You will design and construct systems that support everything from real-time product functionalities to internal analytics and machine learning processes, covering the spectrum from data ingestion to production-ready datasets. Additionally, you will establish best practices that underpin our data-driven products.This role is highly cross-functional, requiring close collaboration with engineering, data, and product teams to ensure our data foundation evolves in tandem with our growth.ResponsibilitiesDesign, develop, and sustain scalable data systems.Implement best practices for data architecture and management.Collaborate with cross-functional teams to facilitate data-driven decision-making.