Staff Software Engineer - Identity and Access Management

Are you ready to transform the advertising landscape? At Cognitiv, we are more than just an AdTech company; we are pioneers reshaping media buying through our state-of-the-art Deep Learning Advertising Platform. Since 2015, we have leveraged advanced deep learning technology and data science to redefine how brands engage with their audiences. Our mission is to infuse intelligence into advertising, delivering unmatched precision, relevance, and impact at scale. With our innovative platform, advertisers benefit from exceptional flexibility, whether it’s activating Dynamic Deals via their chosen DSP, utilizing our managed service DSP, or engaging with our revolutionary ContextGPT product. Joining Cognitiv means you'll be at the helm of AI-driven advertising solutions, influencing change and fostering remarkable growth in this dynamic sector. We are expanding our team!The RoleWe are on the lookout for one of the industry's finest ML inference engineers—an individual eager to architect and scale a pioneering inference system that will serve as the backbone of Cognitiv’s ML-driven products.In this pivotal role, you will shape the concept of inference at Cognitiv and lead collaborative efforts across the organization to bring this vision to fruition. You will develop performance-critical systems facilitating real-time decision-making for some of the world’s leading brands while contributing to the future of AI in AdTech.This position is foundational and high-impact, presenting a unique opportunity to construct both the system and the team around one of the company’s most strategic technical pillars.What You’ll DoBuild Production AdTech Systems: Design and implement robust software and infrastructure that supports large-scale machine learning models in real-world production settings.Optimize for Performance at Scale: Enhance throughput and latency using a combination of industry-standard frameworks and bespoke solutions tailored to Cognitiv’s requirements.Set the Vision & Influence Execution: Establish the technical direction for inference projects, articulate a clear vision, and motivate teams across the company to align and execute accordingly.Bridge Research to Production: Identify long-term risks and emerging technical innovations, collaborating closely with Research, Product, and Engineering teams to translate ML capabilities into tangible business outcomes.

Be Part of the Financial Revolution.At Robinhood, our mission is to democratize finance for everyone. With an estimated $124 trillion in assets expected to be transferred to younger generations in the next two decades, we find ourselves at the forefront of the largest wealth transfer in history. If you’re ready to shape the future of finance, we want to hear from you.About the Team and RoleJoin our elite team working with cutting-edge technologies to tackle some of the most significant challenges in the financial sector. We seek innovative thinkers and sharp problem-solvers who thrive on making a meaningful impact. At Robinhood, complacency has no place; we empower ambitious individuals to achieve the best work of their careers. Our high-performing and fast-moving team upholds ethics at the core of our operations, and we believe that high expectations lead to high rewards.The Agentic AI team is dedicated to developing intelligent AI systems that enhance customer experiences across Robinhood's range of products. Our focus is on streamlining the deployment of agents with tailored models while empowering other teams to create, assess, and refine their agents. You will be pivotal in cultivating a culture rooted in first-principle thinking, peak performance, and a strong emphasis on customer satisfaction!As a Staff Machine Learning Engineer (IC6), you will set and maintain high standards for agentic systems throughout the organization. Your responsibilities will include designing evaluation frameworks, guiding model selection, and collaborating with product, data science, and engineering teams to ensure that our systems meet rigorous standards for accuracy, safety, responsiveness, and user satisfaction. Your contributions will fundamentally influence the development, assessment, and enhancement of agentic systems across Robinhood!This position is located in Bellevue, WA or Menlo Park, CA, with an expectation of in-office attendance at least three days a week.At Robinhood, we recognize the significance of in-person work in accelerating progress, igniting innovation, and fostering community. Our office environment is thoughtfully designed to be invigorating and fully supportive of high-performing teams.

Unity Technologies is seeking a Staff Machine Learning Engineer to focus on Offline Infrastructure in Bellevue, WA. This role centers on building and strengthening offline capabilities for machine learning systems, supporting users who depend on Unity’s technology without constant online connectivity. Key responsibilities Design and implement scalable infrastructure for offline machine learning workflows Collaborate with engineering, product, and cross-functional teams to deliver robust solutions Drive improvements and explore new approaches for machine learning at Unity Role focus This position emphasizes technical leadership in developing systems that function reliably without continuous internet access. The work directly impacts users who need Unity’s tools to perform seamlessly in offline scenarios.

Be a Part of the Financial Revolution.At Robinhood, our mission is to democratize finance for everyone. With an anticipated transfer of $124 trillion in assets to younger generations over the next 20 years, we are positioned at the forefront of this monumental opportunity. If you are eager to contribute to this transformative shift in culture and finance, we want to hear from you.About the Team and RoleWe are assembling an exceptional team dedicated to tackling the most significant challenges in the financial sector using cutting-edge technologies. We seek innovative thinkers, adept problem-solvers, and proactive builders who are motivated to drive meaningful change. Robinhood is not a place for the complacent; it's where ambitious individuals achieve extraordinary results in their careers. Our team operates with high performance in mind, guided by strong ethical principles. The standards are elevated, and so are the rewards.The Agentic team at Robinhood is focused on developing and deploying advanced AI agents that will power the next generation of financial products. Our goal is to swiftly construct, assess, and implement high-functioning AI agents on robust production infrastructures, incorporating thorough evaluations and continuous optimization.This position is based in our Menlo Park, CA and Bellevue, WA offices, with a requirement for in-person attendance at least three days per week.

RDQ127R9 At Databricks, we are dedicated to leveraging Data and AI to tackle some of the world’s most complex challenges, ranging from security threat detection to advancing cancer drug research. Our mission revolves around creating and maintaining the premier data and AI infrastructure platform, empowering our clients to concentrate on high-impact tasks central to their objectives. Founded in 2013 by the original architects of Apache Spark™, Databricks has transformed from a modest office in Berkeley, CA into a global powerhouse with over 6,500 employees. We serve thousands of organizations, from startups to Fortune 100 companies, who rely on Databricks for their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies globally. The Money team at Databricks is committed to optimizing the value our clients receive from their data investments. We achieve this through innovative commercialization strategies and state-of-the-art engineering. Our team guarantees timely, precise, and personalized billing and usage data, alongside tools for budgeting, forecasting, and cost optimization. We facilitate a seamless and consistent billing experience for all customers, whether they are large enterprises or individual developers, across various pricing models and cloud platforms (AWS, GCP & Azure). As a Senior Staff Software Engineer on the Money team, you will play a pivotal role in overseeing the entire billing process, which includes usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and budgeting. Your contributions are vital in democratizing data and bringing Databricks products to the market. You will collaborate closely with marketing, product teams, commercialization specialists, data scientists, IT, and customer support to standardize billing experiences across major cloud providers, delivering a unified "sky computation" experience. This position will involve utilizing the latest Databricks products and tools within the ecosystem. Your Impact: Architect and manage the Money systems and services that commercialize all Databricks products and offerings. Create innovative primitives that enable and support diverse pricing strategies, including Pay-As-You-Go, commissions, credits, trials, and promotions. Improve engineering and infrastructure efficiency, reliability, accuracy, and response times, encompassing CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Partner with commercialization experts to craft and implement innovative pricing strategies and plans. Leverage AI and LLMs to drive innovation in cost insights, predictions, and optimization across multiple cloud providers.

P-940 This position is open to our offices in both Seattle and Bellevue. At Databricks, we are dedicated to empowering data teams to tackle the world's most pressing challenges, from detecting security threats to innovating in cancer drug development. By constructing and managing the globe's premier data and AI infrastructure platform, we enable our clients to concentrate on the critical challenges central to their missions. Founded in 2013 by the original architects of Apache Spark™, Databricks has expanded from a modest office in Berkeley, California to a global powerhouse with over 1,000 employees. We are proud to be one of the fastest-growing SaaS companies, trusted by thousands of organizations ranging from startups to Fortune 100 companies with their most vital workloads. Our engineering teams develop highly technical products that address significant global needs. We continually push the limits of data and AI technology, while ensuring the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprised of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is engineered to seamlessly shield customers from these issues. As a backend-focused software engineer, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and products. This role involves writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and engaging with cloud APIs (AWS, Azure, CloudFormation, Terraform). Join one of our dynamic teams, such as: Data Science and Machine Learning Infrastructure: Develop services and infrastructure at the nexus of machine learning and distributed systems. Our technology powers the flagship collaborative workspace, notebooks, IDE integrations, and project management tools. We facilitate machine learning at scale with tools for environment management, distributed training, and managing the machine learning lifecycle through MLflow. Compute Fabric: Create the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, and secure manner.

We are seeking a highly skilled and experienced Lead Senior Staff Software Engineer specializing in front-end fundamentals to join our innovative team at The Trade Desk. In this role, you will lead the development of cutting-edge front-end solutions that enhance user experience and drive our product's success. You will collaborate closely with cross-functional teams, guiding junior engineers and fostering a culture of excellence in software development.

Senior Staff Software Engineer - Money Team P-940 At Databricks, we are passionate about harnessing the power of Data and AI to tackle some of the world’s most challenging issues, from detecting security threats to developing revolutionary cancer treatments. Our mission is centered around delivering the best data and AI infrastructure platform, empowering our customers to concentrate on high-impact challenges that define their strategic objectives. Founded in 2013 by the pioneering minds behind Apache Spark™, Databricks has transformed from a modest office in Berkeley, CA, into a global enterprise with over 6,500 dedicated employees. Trusted by thousands of organizations, ranging from startups to Fortune 100 companies, we have established ourselves as one of the fastest-growing SaaS companies worldwide. The Money Team at Databricks is committed to maximizing the value our customers receive from their data investments. We achieve this through innovative commercialization strategies and advanced engineering solutions. Our team is responsible for providing accurate, timely, and customizable billing and usage data, along with budgeting, forecasting, and cost optimization tools. We ensure a seamless billing experience for all customers, whether large enterprises or individual developers, across various pricing plans and cloud providers (AWS, GCP, and Azure). As a software engineer on the Money Team, you will play a pivotal role in the entire billing lifecycle, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and budgeting. Your contributions will be vital in democratizing data and bringing Databricks products to market. Collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, delivering a unified "sky computation" experience to our customers. This position will require you to leverage the latest Databricks products and tools within our ecosystem. Your Impact: Design and manage the Money systems and services, commercializing all Databricks products and offerings. Develop innovative solutions that enable and support diverse pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions. Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Collaborate with commercialization experts to conceptualize and implement cutting-edge pricing strategies and plans. Utilize AI and machine learning models to innovate in cost management and optimization.

Discover OktaAt Okta, we are the leading identity company, empowering individuals to securely access any technology, anywhere, on any device or application. Our versatile products, including the Okta Platform and Auth0 Platform, ensure secure access, authentication, and automation while placing identity at the heart of business security and growth.We value diverse perspectives and experiences at Okta. We seek lifelong learners and individuals who can contribute to our mission with their unique insights. Join us in creating a world where identity is truly yours.We are currently seeking an experienced Staff Software Engineer to join our Auth0 Security Engineering team. In this role, you will design and implement security guardrails for our multi-cloud environment, translating intricate security and compliance standards into programmatic, code-driven policies.

Visa U.S.A. Inc., a part of Visa Inc., is seeking talented Staff Software Engineers (multiple openings) in Bellevue, WA to:Architect, design, and develop complex software applications and microservices using technologies like Java, Spring Boot, Kafka, and MySQL.Evaluate and integrate cutting-edge technology tools and processes that foster the development of innovative products and solutions, enhancing operational efficiency and opening new business avenues.Leverage generative AI within the development lifecycle to improve automation, code generation, problem-solving, and overall process optimization.Create and implement a unified control center and monitoring tools to assess, monitor, and report on platform health, data availability, and capacity utilization trends.Conduct thorough business and technical analyses, perform code reviews, and execute unit testing to ensure adherence to quality and development compliance.Design and implement modifications and fixes to existing software, including debugging routines and resolving codebase issues.Optimize database queries and write procedures for significant project deployments.Apply established standards, processes, and tools throughout the secure software development life cycle (SSDLC) to support engineering applications and products.Engage in cross-functional collaboration with architects, systems analysts, project managers, QA, and fellow developers to fulfill business requirements using state-of-the-art tools and technologies.Ensure timely project delivery, establish production support plans, and facilitate knowledge transfer for the long-term maintainability of upgrades, enhancements, and deployments.Mentor junior developers and contribute to fostering a culture of continuous improvement, scalability, and high performance in software solutions.Generate technical documentation for new developments, system enhancements, and production support.Monitor platform health, produce performance reports, and promote ongoing improvements.This position is based in the Bellevue, Washington office, with potential options for partial telecommuting.

Be a Part of the Future of Finance!At Robinhood, we are dedicated to democratizing finance for everyone. With an estimated $124 trillion set to be inherited by younger generations in the next twenty years, you have the opportunity to be at the forefront of this monumental cultural and financial transformation.Join Our TeamWe are assembling an exceptional team that leverages advanced technologies to tackle the most significant challenges in finance. We seek innovative thinkers and adept problem-solvers—builders who are driven to create meaningful change. Robinhood is not a place for mediocrity; it's where motivated individuals achieve the best work of their careers. Our high-performing, fast-paced team operates with ethics at the center of our mission, and we offer high expectations alongside rewarding experiences.The Storage Platform team is responsible for developing and managing the platform that facilitates database access across Robinhood. We oversee relational databases (Postgres/Aurora), key-value stores (DynamoDB), and caching systems, alongside the SDKs and automation tools that enable safe, reliable access at scale. Our goal is to standardize and enhance how services connect to storage, boost reliability and performance, and minimize operational overhead via automation. We manage thousands of databases and numerous caching clusters that support millions of users and critical brokerage operations. Ensuring availability is paramount—our systems are crafted to meet rigorous uptime requirements, including zero downtime during market hours.As a Staff Software Engineer, you will architect and refine the core infrastructure that underlies Robinhood’s storage systems. You will lead complex distributed systems projects, such as horizontal sharding, proxy-based query routing, connection pooling, and cross-shard transactions. Your work will focus on enhancing database reliability, performance, and cost-effectiveness across multi-region deployments. Your contributions will directly influence system availability, latency, and resilience for both customer-facing products and internal engineering teams.Explore a few insights from our team:Listen to our director discuss the impactful work we are doing!Read our blog post detailing our innovative ecosystem.

Robinhood Markets, Inc. is advancing its AI capabilities to support the future of finance. The Artificial Intelligence team designs and maintains the machine learning infrastructure that powers both new features and internal improvements across the Robinhood platform. Role overview The Senior Engineering Manager, AI, will oversee the team responsible for building and scaling Robinhood’s core AI systems. This includes managing the design and rollout of machine learning models for a variety of products and internal tools. The position plays a key part in helping product and engineering teams deliver and refine AI-driven features that address customer needs. What you will do Lead the development of foundational AI and machine learning infrastructure Manage teams working on the creation and deployment of ML and AI models for both customer products and internal processes Guide the adoption and use of Large Language Models (LLMs) to create scalable solutions Influence the engineering organization’s approach to advanced modeling and developer platforms Requirements Extensive experience in software engineering Proven track record applying machine learning at scale Strong leadership background, particularly with developer-facing platform teams Strategic vision for driving AI adoption and innovation within a large organization Location and collaboration This role is based onsite in either Menlo Park, CA or Bellevue, WA. In-person attendance is required five days per week. Robinhood emphasizes in-person collaboration to accelerate progress, encourage innovation, and strengthen its community. For additional context on the evolving landscape in finance, see this report on the $124 trillion wealth transfer expected by 2048.

Oleria Security seeks a Machine Learning and Artificial Intelligence Research Intern for its Bellevue, WA office. This internship centers on projects at the intersection of AI and security, where academic concepts meet practical application. Interns join experienced engineers and researchers to address current security challenges using advanced machine learning methods. Role overview Contribute to projects that use machine learning and AI to solve security-related problems Work closely with team members to design, develop, and test new techniques Build practical skills with tools and methodologies common in the field Learning and development Direct experience applying AI and machine learning within a security context Opportunities to put academic learning into practice on real-world problems Collaboration with a team focused on technology and research

Join Visa Inc. as a Senior Software Engineer and take the opportunity to enhance your skills in a dynamic and innovative environment. You will be responsible for designing, developing, and maintaining high-quality software solutions that meet the needs of our customers. This role requires a deep understanding of software engineering practices and a passion for technology.

P-939 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems — from realizing the next mode of transportation to accelerating the advancement of medical breakthroughs. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to leverage deep data insights to enhance their operations. Founded by engineers with a customer-centric approach, we seize every opportunity to address technical challenges, from creating next-generation UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we’re just getting started. The impact you will make: As a Backend Software Engineer, you will collaborate with your team to construct infrastructure and products for the Databricks platform at scale. Our backend teams encompass various domains, including OS/container systems, serverless infrastructure, partner integration, and machine learning infrastructure. Below are some example projects you might work on: Serverless platform: Develop the Databricks serverless platform that supports big data, machine learning, and Generative AI workloads. Automatically enhance the performance and efficiency of workloads running on the platform while ensuring scalability to millions of machines across a multi-cloud environment. Core cloud platform: Create innovative OS, container, and networking technologies that underpin the entire Databricks infrastructure, from internal systems to serverful and serverless platforms. Enhance security, efficiency, and reliability across the fleet. Partner ecosystem: Build and expand a partner ecosystem for Databricks SQL. Develop and provide various toolkits to support deep and seamless integrations for partners and customers with Databricks. Cultivate and maintain productive partnerships within the ecosystem. Notebook dataplane: Develop a multi-language, multi-user collaborative REPL experience for Databricks users, with a strong emphasis on reliability and responsiveness, particularly focusing on Data Science and AI/ML authoring and experimentation in notebooks. Application platform: Create tools, frameworks, and platforms that enable Databricks engineers to build, deploy, and operate services efficiently. Enhance the scale, observability, and safety of all Databricks services across various clouds while improving each engineer's developer experience.

Be a Part of the Future of Finance!At Robinhood, our mission is to make finance accessible to everyone. With an estimated $124 trillion of assets set to be inherited by younger generations in the coming decades, we are at the forefront of a monumental financial revolution. Ready to play a pivotal role in this transformative journey? Keep reading!About the Team and RoleWe are assembling a top-tier team that leverages cutting-edge technologies to tackle the largest challenges in finance. We seek innovative thinkers, adept problem-solvers, and builders eager to make a significant impact. At Robinhood, complacency is not an option; we foster an environment where ambitious individuals can excel and produce their best work. Our high-performing, fast-paced team operates with ethics at the forefront of our endeavors, where high expectations are met with equally high rewards.The Business Systems team empowers Robinhood's workforce by providing secure, scalable, and innovative internal technology solutions that support essential functions across Finance, Compliance & Legal, and HR & Recruiting. Our mission is to streamline complex internal workflows, enhance efficiency, and enable teams to perform at their best through well-designed systems and tools.The Agentic Apps team is tasked with developing and scaling intelligent, agent-driven systems that support both internal tools and broader AI initiatives at Robinhood. Our goal is to make agentic AI practical and production-ready by creating intuitive tools, robust full-stack systems, and strong quality foundations that enable teams to experiment rapidly, deploy confidently, and scale reliably.As a Senior Full Stack Software Engineer on the Agentic Apps team, you will focus on Corporate Engineering and Business Systems initiatives. Your contributions will involve designing and building AI-powered internal applications and agents that are utilized daily by Robinhood employees. You will work across frontend, backend, and AI orchestration layers to deliver reliable, user-friendly tools that significantly enhance internal team operations, applying agentic AI in a product-oriented manner rather than through research or model development.At Robinhood, we value the power of in-person collaboration to accelerate progress, ignite innovation, and strengthen community. Our office environment is intentional, energizing, and designed to fully support high-performing teams. This position is based in our Bellevue, WA and Menlo Park, CA offices, with a requirement for in-person attendance at least three days a week.

*Statsig is currently not hiring for this role, but we are anticipating future needs and are welcoming applications in the interim.*About StatsigStatsig is at the forefront of transforming software development, testing, and scaling. Leading organizations, including OpenAI, Microsoft, and Notion, depend on Statsig to fuel their growth through data-driven product strategies. With backing from Sequoia Capital and Madrona Venture Group, we are rapidly expanding and redefining the landscape of experimentation.The Engineering TeamOur engineering team at Statsig is dedicated to creating robust infrastructure and innovative products that enable companies to push boundaries. We champion simplicity, efficiency, and high performance, all while nurturing a collaborative environment that prioritizes impactful solutions.Your RoleAs a Senior Software Engineer, you will lead pivotal projects, take ownership of essential components, and boost system performance. Your contributions will be vital in delivering high-caliber solutions with minimal supervision, mentoring peers, and refining development practices.Key ResponsibilitiesFeature Ownership & Development: Spearhead the development of core features and systems, emphasizing reliability and scalability.Deliver High-Impact Solutions: Efficiently ship high-quality projects while ensuring deadlines are met.Complex Problem Solving: Proactively identify and address technical challenges.Process Enhancement: Advocate for best practices and improve development workflows.Team Collaboration & Mentorship: Lead small teams, cultivate cross-functional relationships, and guide junior engineers.Contribute to Engineering Culture: Engage in initiatives related to recruiting, onboarding, and diversity to strengthen the team.Who You AreYou thrive in dynamic, fast-paced environments and excel at overcoming technical challenges. You prioritize efficiency, simplicity, and development driven by impact.Qualifications4+ years of professional software engineering experience with demonstrated technical leadership.Proficiency in various coding languages, including Node.js, Rust, React, or Python, or a willingness to learn.A strong understanding of scalable system design and performance optimization.

At Databricks, we are passionate about leveraging Data and AI to tackle some of the world's most pressing challenges, ranging from security threat detection to advancing cancer treatment. We achieve this by developing and maintaining the leading data and AI infrastructure platform, allowing our customers to concentrate on the high-impact issues that are critical to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has evolved from a modest office in Berkeley, CA to a thriving global company with over 6,500 employees. Thousands of organizations, from startups to Fortune 100 companies, rely on Databricks for their mission-critical workloads, establishing us as one of the fastest-growing SaaS firms globally. The Money team's mission at Databricks is to optimize the value that our customers gain from their data investments. We accomplish this with innovative commercialization strategies and state-of-the-art engineering. Our team guarantees timely, precise, and customizable billing along with tools for budgeting, forecasting, and cost optimization. We deliver a seamless billing experience for all our customers, regardless of whether they are large enterprises or individual developers, across various pricing plans and cloud providers (AWS, GCP, and Azure). As a Senior Software Engineer on the Money team, you will play a pivotal role in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and budgeting. Your contributions will be essential in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization specialists, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, providing our customers with a cohesive 'sky computation' experience. This role will leverage the latest Databricks products and tools within our ecosystem. Key Responsibilities: Design and oversee Money systems and services, commercializing all Databricks products and offerings. Develop innovative mechanisms that facilitate and support diverse pricing strategies, including Pay-As-You-Go, commissions, credits, trials, and promotions. Improve engineering and infrastructure efficiency, reliability, accuracy, and response times, covering CI/CD processes, testing frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Collaborate with commercialization experts to devise and implement innovative pricing strategies and plans. Utilize AI and LLMs to drive innovation in cost insights, forecasting, and optimization across various cloud providers. Become proficient in utilizing Databricks Data + AI tools.

The Trade Desk is a leading global technology firm dedicated to crafting a more open and equitable internet for all through principled and intelligent advertising solutions. Our platform processes over 1 trillion queries daily, showcasing our ability to operate at an unparalleled scale. We pride ourselves on an award-winning culture grounded in trust, ownership, empathy, and teamwork. We recognize and celebrate the distinct experiences and viewpoints each individual contributes to The Trade Desk, and we are devoted to creating inclusive environments where everyone can be their authentic selves.Are you passionate about tackling complex challenges on a grand scale? Do you aspire to be part of a vibrant, interconnected team where your input will play a crucial role in enhancing the media ecosystem? Discover why Fortune magazine consistently ranks The Trade Desk among the best small to medium-sized workplaces worldwide.As an integral part of our team, you will take ownership of the complete product lifecycle, from conceptualizing and designing to building and delivering solutions for our clients. You’ll collaborate with various mission-driven teams addressing a broad range of technological issues, such as developing large-scale distributed systems that manage thousands of servers across cloud and physical data centers globally, addressing petabyte-scale data challenges, leveraging machine learning, and creating advanced visualizations and interactive user interfaces.