Lead/Staff Software Engineer - Infrastructure

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.

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.

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.

OverviewAt Databricks, we are dedicated to empowering data teams to tackle the world’s most challenging issues, ranging from security threat detection to cancer drug development. Our mission is to create and maintain the leading data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges central to their missions.Our engineering teams develop sophisticated products that meet significant real-world needs. We consistently push the limits of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success on our platform.Our clients entrust us with their most sensitive data, and the Trust & Safety team is committed to establishing the most credible data analytics and machine learning platform globally. Security Engineering plays a crucial role within Trust & Safety, working diligently to safeguard customer data against malicious threats. We are searching for senior leaders like you to craft the vision and define the strategy for this vital area.

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.

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.

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.

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.

Role OverviewJoin our dynamic engineering team at prorata, where you will play a pivotal role in developing cutting-edge backend services, efficient data processing pipelines, and resilient storage solutions. As an expert in Python, distributed systems, and both relational and NoSQL databases, you will leverage your skills to design and implement highly available services while optimizing data access patterns. Your ability to navigate architectural trade-offs and evaluate various design methodologies will enable you to deliver clean, scalable solutions that meet our performance, reliability, and cost objectives.Key ResponsibilitiesDesign, develop, and maintain scalable, high-performance backend services using Python.Architect solutions for data-intensive systems that efficiently process and serve large structured and unstructured datasets in real-time.Create APIs, microservices, and workflow pipelines that underpin critical platform components.Take ownership of SQL and NoSQL data schema design, data access patterns, indexing strategies, and performance enhancements.Propose and implement strategies to improve service reliability, efficiency, observability, and cost-effectiveness.Integrate intelligent automation and agentic workflows into backend systems for seamless task orchestration.Collaborate across teams, including product, data, and revenue, to develop new customer-facing features and enhance internal data capabilities.QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.A minimum of 5 years of progressive software engineering experience with increasing technical responsibilities.At least 3 years of hands-on experience in Python development, specifically in building production-grade backend systems.Strong knowledge of distributed systems, microservices, and event-driven architectures.Proficient in SQL databases (e.g., PostgreSQL, MySQL) with a focus on query optimization and schema design.Familiarity with NoSQL technologies like Elasticsearch, MongoDB, or Redis.Experience in deploying solutions on cloud platforms, particularly public cloud services.

Join us in revolutionizing the financial landscape.At Robinhood, our mission is to democratize finance for everyone. With an estimated $124 trillion in assets expected to be passed down to younger generations in the coming years, this is the largest wealth transfer in history. If you’re ready to be at the forefront of this transformative cultural and financial movement, we want to hear from you.About the Team and RoleWe are assembling an exceptional team dedicated to leveraging cutting-edge technologies to tackle the world's most pressing financial challenges. We seek bold innovators, adept problem-solvers, and passionate builders who are driven to make a significant impact. At Robinhood, complacency has no place; this is where ambitious individuals deliver their best work. Our team thrives on high performance, rapid progress, and a strong ethical foundation. Expectations are high, but so are the rewards.The Streaming Platform team exists to facilitate real-time, dependable, and scalable data streaming across all Robinhood products and infrastructure. We create and maintain essential platforms that enable seamless communication between services and empower streaming analytics throughout the organization. Our systems are indispensable for Robinhood’s ability to develop innovative financial products and provide unparalleled experiences for our customers!Check out some of the exciting projects we're working on:Robinhood’s Use of WarpStream for LoggingRobinhood’s Kafka Journey from EC2 to KubernetesRobinhood’s Kafka ProxyAs a Staff Software Engineer, you will design, develop, and manage distributed systems that underpin core data pipelines and real-time event processing. You will collaborate with engineers across product, data, and machine learning teams to scale our platform, enhance reliability, and improve the developer experience company-wide.This position is based in our Bellevue, WA office, where in-person attendance is expected at least three days a week.At Robinhood, we believe that in-person collaboration fuels progress, ignites innovation, and fosters community. Our office environment is intentionally crafted to be energizing and supportive of high-performance work.

Join our dynamic team as a Staff Database Engineer at Databricks, where you'll play a critical role in designing, implementing, and optimizing our database systems. This is an exciting opportunity to work with cutting-edge technology and collaborate with talented professionals in a fast-paced environment.

About the RoleJoin our innovative Cluster Orchestration team at CoreWeave, where you will significantly contribute to the enhancement of our orchestration platform, including SUNK (Slurm on Kubernetes) and more. This is a unique opportunity to influence a vital component of the AI cloud ecosystem, ensuring seamless, reliable, and efficient operations across extensive GPU clusters. By creating systems that alleviate infrastructure constraints and introduce novel orchestration functionalities, you will empower our clients to accelerate their AI innovations and redefine possibilities.Your ResponsibilitiesIn your role as a Staff Engineer, you will lead the technical vision for CoreWeave’s orchestration platform. You will set architectural guidelines, oversee critical orchestration components and managed services, and spearhead cross-organizational initiatives in scheduling, quota management, and large-scale scaling. Additionally, you will provide mentorship to senior engineers, establish best practices for reliability and observability, and ensure the evolution of CoreWeave’s orchestration layer aligns with the requirements of next-generation AI workloads.Who You Are8+ years of software engineering experience.Demonstrated success in designing and managing large-scale distributed systems in production environments.In-depth knowledge of Slurm/Kubernetes internals and cloud-native development.Advanced skills in Go and distributed systems architecture.Proven ability to mentor teams and promote best practices across the organization.

Join our innovative engineering team at Databricks as a Staff Software Engineer specializing in Distributed Data Systems. You will play a key role in designing and implementing scalable data solutions that power our cutting-edge analytics platform. Collaborate with cross-functional teams to develop robust architectures that support high throughput and low latency data processing. If you're passionate about big data technologies and want to make an impact, we want to hear from you!

At Databricks, we are dedicated to empowering data teams to address some of the most challenging issues in the world, from detecting security threats to developing cancer treatments. We achieve this by constructing and maintaining the world's leading data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges that define their missions.Our engineering teams create sophisticated products that meet significant global needs. We are continually pushing the limits of data and AI technology while ensuring resilience, security, and scalability that are essential for our customers' success on our platform.Customers entrust Databricks with their most sensitive data, and our Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role in Trust & Safety, safeguarding customer data from malicious threats. We are seeking visionary senior leaders like you to define the strategy for this essential domain.

CoreWeave is seeking a Staff Security Engineer with deep experience in PKI and secrets management. This position is key to strengthening the security of our cloud infrastructure across multiple locations, including Livingston, NJ, New York, NY, Sunnyvale, CA, and Bellevue, WA. Role overview This role focuses on designing and implementing secure public key infrastructures (PKI) and managing sensitive secrets across our platforms. The Staff Security Engineer will take the lead on projects that directly impact the integrity and safety of our systems. What you will do Lead the creation and deployment of PKI solutions for cloud environments. Develop and maintain processes for secure secrets management. Work to ensure compliance and reduce security risks as CoreWeave grows. Requirements Expertise in PKI design and secrets management practices. Experience supporting cloud infrastructure security. Ability to lead initiatives and collaborate with technical teams.

P-1124 Summary At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to cancer drug development. Our mission is realized through the development and operation of the premier data and AI infrastructure platform, allowing our clients to concentrate on the vital challenges central to their objectives. Our engineering teams craft technically sophisticated products that meet significant needs in the world. We consistently advance the frontiers of data and AI technology while maintaining the resilience, security, and scale essential for our customers' success on our platform. Customers place their trust in Databricks with their most critical data, and the Trust & Safety team is committed to establishing the most reliable data analytics and ML platform globally. Security Engineering plays a pivotal role in this mission, safeguarding customer data from malicious threats. We are seeking seasoned leaders like you to shape the vision and define the strategy in this vital area.

As a Staff Systems Engineer specializing in Warfighter Systems at Anduril Industries, you will play a crucial role in developing and integrating cutting-edge systems that support our military operations. You will work collaboratively with a talented team to innovate solutions that enhance our national security.