Lead Software Development Engineer

About the CompanyArmada is an innovative edge computing startup dedicated to providing advanced computing infrastructure to remote locations where connectivity and cloud services are scarce. Our mission is to eliminate the digital divide by deploying cutting-edge technology infrastructure that can be rapidly established in any environment, enabling real-time data processing and AI at the edge. About the RoleWe are looking for a dynamic Lead/Staff Software Engineer to join our Edge organization, where you will be instrumental in shaping the technical vision across our Platform, Security, and Networking domains. This leadership role is perfect for a forward-thinking engineer at the intersection of software, networking, and platform infrastructure.You will define the architectural strategy for the core services that power the Armada Edge Platform, creating the integration framework that connects a hybrid fleet of Azure Local, OpenShift, and Kubernetes clusters globally. In addition, you will oversee the automation software strategy to provision and manage our physical network fabric, ensuring seamless architecture for bootstrapping firewalls and switches alongside our compute nodes. Location: This role is office-based at our Bellevue, Washington office. What You'll Do (Key Responsibilities)Technical Strategy & Leadership: Define and drive long-term technical roadmaps for the Edge organization, ensuring architectural alignment across platform engineering, observability, networking, and security capabilities. Mentor a team of highly skilled engineers, fostering a culture of rigorous engineering excellence.Advanced Edge Orchestration: Architect the next-generation control plane and robust infrastructure services that abstract platform complexity, creating a unified API for deploying to Azure Local, OpenShift, and standard Kubernetes clusters. Direct the engineering of complex, highly scalable Zero-Touch Provisioning (ZTP) workflows for bare-metal compute nodes.Network Systems Architecture: Lead the design of software services in Golang and Python to automate the provisioning and lifecycle management of Juniper SRX firewalls and switches. Champion intent-based networking paradigms, building automated workflows for ZTP of network gear programmatically via Netconf/YANG or XML APIs.Zero-Trust Security Vision: Pioneer the organization's approach to implementing zero-trust security frameworks.

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.

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.

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.

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.

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.

Join CoreWeave as a Software Engineer in our Data Infrastructure Services team, where you will play a crucial role in building robust data solutions that empower our cloud infrastructure. We are looking for a passionate engineer who thrives in a dynamic environment and is eager to tackle challenging problems. You will collaborate with cross-functional teams to design, develop, and maintain scalable data systems that support our innovative projects. If you have a strong background in software engineering and a keen interest in data infrastructure, we want to hear from you!

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.

LinkedIn seeks a Distinguished Software Engineer to join the Systems Infrastructure team within Core Infrastructure in Bellevue. This senior role centers on steering essential projects and reinforcing the foundation of LinkedIn’s technology platform. Key responsibilities Lead major systems infrastructure projects with broad impact Shape and enhance the architecture of LinkedIn’s core systems Promote and implement technical innovations that advance the company’s global platform Role impact The work in this position helps keep LinkedIn reliable and scalable for millions of professionals worldwide as the platform continues to grow.

Speechify seeks a Software Engineer focused on Data Infrastructure & Acquisition in Bellevue, WA. This position involves developing and refining the data systems that support Speechify’s text-to-speech products. Key Responsibilities Design, implement, and maintain data pipelines that enable product features Collaborate with team members to deliver reliable and scalable data systems Support projects aimed at improving how users access and interact with information Role Impact The work in this role helps make information more accessible to people worldwide. The data infrastructure you build will have a direct effect on both user experience and the capabilities of Speechify’s products.

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.

As a Senior Software Engineer specializing in Data Infrastructure Services at CoreWeave, you will play a pivotal role in designing and implementing scalable data solutions that power our innovative services. You will collaborate with cross-functional teams to enhance our data architecture and improve data accessibility for various applications.

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.

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.

At Databricks, we are dedicated to empowering data teams to tackle the world's most pressing challenges—ranging from realizing the next mode of transportation to speeding up the discovery of medical innovations. We achieve this by creating and operating the world’s premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their business outcomes.Databricks Unity Catalog stands as the industry's sole unified and open governance solution for data and AI, integrated within the Databricks Data Intelligence Platform. It facilitates secure discovery, access, and collaboration on trusted data and AI assets across various platforms for data scientists, analysts, and engineers. Unity Catalog boosts productivity through AI-driven governance, streamlining compliance while enhancing interoperability.We are in search of a Senior Staff Software Engineer to steer the technical vision and development of Unity Catalog’s enterprise-level governance functionalities. In this pivotal role, you will be responsible for shaping the roadmap and executing essential features that enable organizations to manage access to their Lakehouse assets at scale.