Software Engineer - Data Infrastructure & Acquisition

This position requires on-site work from our Seattle office, with specific on-site expectations varying by team and role. For inquiries regarding on-site arrangements, please consult your recruiter.We offer a competitive base salary ranging from $146,880 to $220,320, complemented by generous bonus plans, ensuring a robust compensation package.About YouYou ar…

Role Overview Airwallex is hiring a Senior Software Engineer focused on Infrastructure AI in Seattle. This role centers on improving infrastructure systems by applying AI technologies. The position calls for close collaboration with colleagues across different teams to build scalable solutions that strengthen both performance and reliability.

At Docker, our mission is to simplify app development, allowing developers to concentrate on what truly matters. Our globally distributed, remote-first team is united by a shared passion for innovative solutions and exceptional developer experiences. With a robust user base of over 20 million monthly users and 20 billion image pulls, Docker stands as the premier tool for building, sharing, and executing applications—trusted by both startups and Fortune 100 companies. We're in a phase of rapid growth and eager to welcome new talent who share our vision!We are on the lookout for an accomplished Senior Principal Engineer to act as the technical architect and visionary for our Bridge organization—the essential platform that underpins accounts, billing, data management, developer tools, and enterprise governance across all Docker products. This pivotal individual contributor role is charged with defining and driving the technical strategy that will facilitate Docker's evolution from a suite of individual products to a cohesive enterprise platform, ready to support our next growth phase.In this capacity, you will formulate comprehensive technical plans that resonate across multiple engineering teams, make critical architectural choices that have a significant impact on Docker's entire product suite, and lead cross-company initiatives that directly influence revenue generation. Collaborating at the intersection of Accounts, Billing, Data, Platform Infrastructure, Developer Tools, and Enterprise Governance, you will ensure that these foundational systems operate seamlessly to support Docker's transformative business model, transitioning from seat-based to usage-based pricing, expanding into AI and security solutions, and scaling our enterprise customer base from tens of thousands to hundreds of thousands.The ideal candidate will possess a unique blend of deep technical expertise across various domains and the business insight necessary to translate Docker's commercial objectives into actionable platform capabilities. You will be recognized as the go-to expert on platform architecture across Docker, advising executives on critical technical decisions and ensuring that product teams can rapidly launch enterprise-ready features, supported by a robust underlying platform.

Anthropic is hiring a Staff Software Engineer to focus on Node Infrastructure. This position is based in San Francisco, New York City, or Seattle. Role overview This role centers on designing, building, and maintaining the core systems that support Anthropic’s services. The work directly affects the reliability and scalability of the company’s AI offerings. Collaboration Work closely with a skilled engineering team to develop infrastructure that supports high-quality AI solutions. The team values input and hands-on problem solving from every member. Impact Efforts in this role help ensure Anthropic’s services remain stable and can grow as demand increases. The systems you help create will play a key part in the company’s ability to deliver dependable AI products.

Scale AI is seeking a Senior AI Infrastructure Engineer to help build and refine the company’s Training Platform. This position centers on designing, implementing, and improving infrastructure that supports machine learning teams as they train and deploy models. Role overview This engineer will work closely with colleagues across different functions to create solutions that make AI systems more efficient. The focus is on enabling faster, more reliable model training and deployment. Key responsibilities Design and build infrastructure for AI model training Implement and optimize systems to support machine learning workflows Collaborate with teams throughout the company to improve platform capabilities Locations This role is based in San Francisco, Seattle, or New York.

Join Anthropic as a Staff Infrastructure Engineer focused on Cluster Infrastructure. In this role, you will have the opportunity to shape the future of AI by building and maintaining robust infrastructure systems that support our cutting-edge technologies. You will collaborate with a talented team of engineers to design scalable solutions, optimize performance, and ensure reliability across various platforms.

About Us:Read AI is at the forefront of productivity-enhancing AI solutions, dedicated to empowering individuals and organizations to streamline their workflows across meetings, messaging, and email communication. Our seamless integration with leading platforms such as Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce transforms how teams collaborate, providing an AI copilot that enhances productivity wherever work happens.Having recently secured $50 million in Series B funding led by Smash Capital, along with ongoing support from existing investors Madrona and Goodwater Capital, our total funding now stands at $81 million, marking an exciting phase of growth just six months post-Series A. If you are passionate about developing impactful solutions and eager to contribute to a rapidly growing company, we invite you to be part of our journey!The Role:As a Senior Software Engineer at Read AI, you will play a critical role in shaping the architecture and performance of our product. You will oversee the data flows and machine learning infrastructure, which encompasses real-time audio and video processing, interactions with third-party LLM providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services.Responsibilities:Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.Take ownership of key system components from conception through deployment and maintenance.Implement quality assurance best practices, including unit and integration testing.Optimize data processing pipelines and storage solutions for efficiency.Seamlessly integrate third-party services and data sources into our platform.Monitor and troubleshoot infrastructure and operational issues to ensure maximum uptime and reliability.Continuously assess and adopt best practices, tools, and technologies to improve system scalability, reliability, and maintainability.

Join a Revolutionary CompanyAt Palantir, we are at the forefront of developing cutting-edge software that empowers organizations to make informed, data-driven decisions. Our innovative platforms enable partners to create life-saving medical treatments, optimize supply chains, and assist in critical search and rescue operations, among many other impactful applications.About the RoleWe are seeking a Senior Software Engineer specializing in Network Infrastructure to join our dynamic team. Your mission will be to enhance and simplify our complex Kubernetes networking technology stack, ensuring it is user-friendly, robust, and secure.The Network Infrastructure team is responsible for managing the traffic flow across numerous zero-trust K8s clusters that support a variety of workloads. You will tackle unique technical challenges at the nexus of scalability, usability, and security, enabling agile control over transient infrastructure, which includes managing tens of thousands of firewall rules targeting thousands of ephemeral pods. This role will engage you in one of the most demanding technical environments at Palantir, utilizing CNCF tools like Envoy and Cilium alongside Kubernetes controllers.

At NICE, we embrace limitless challenges and constantly strive to push beyond our boundaries. We are ambitious innovators committed to excellence, and if you share our passion, we have the perfect opportunity to ignite your career.Lead Software EngineerAs a Lead Software Engineer at NICE, you will play a crucial role in designing and enhancing core services within the NICE CXone platform. This position involves creating scalable cloud systems that cater to enterprise customers around the globe. You will leverage strong software engineering principles along with modern development practices, including AI-assisted tools and workflows that expedite delivery and elevate code quality.In this role, you will collaborate extensively with product managers, system analysts, and architects, while also mentoring fellow engineers and tackling intricate platform challenges.Key ResponsibilitiesDesign, build, and maintain scalable distributed services that are essential to the NICE CXone platform.Lead the architectural design and advancement of complex systems across various services, ensuring a balance of performance, reliability, and maintainability.Develop high-quality, maintainable code and conduct insightful code reviews that elevate the overall engineering standard within the organization.Create and implement automated testing and quality assurance strategies that enhance system reliability and engineering efficiency.Collaborate with product management, system analysts, architects, and other engineering teams to devise technical solutions that deliver significant value to customers.Offer technical leadership and mentorship, assisting engineers in cultivating strong engineering judgment and ownership.Take responsibility for production systems, diagnosing issues, resolving defects, and enhancing platform stability and resilience.Advocate for contemporary engineering practices, including automation, observability, maintainable architecture, and AI-enhanced development workflows that facilitate faster development and deeper system comprehension.Engineering Culture at NICEAt NICE, we believe that exceptional engineers own outcomes. Our teams concentrate on solving impactful problems for our customers and delivering results that go beyond mere task completion.Engineers in this position are empowered to think critically, propose solutions, and make technical decisions that propel systems forward. We value creativity, iterative improvement, and teamwork in tackling complex engineering challenges.

Senior Backend Software EngineerJoin Read AI's innovative Backend team as a Senior Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and optimizing robust backend systems that fuel our AI-driven productivity platform. Engage in a dynamic, collaborative setting where you’ll deploy code weekly and make a substantial impact on millions of users.Complete your application with a Provn skills assessment.

At Docker, we revolutionize application development, empowering developers to concentrate on what truly matters. Our globally distributed, remote-first team is passionate about innovation and crafting exceptional developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker stands as the premier tool for building, sharing, and deploying applications, trusted by both startups and Fortune 100 companies. As we continue to expand rapidly, we invite you to embark on this exciting journey with us!Join Docker’s AI Tools & Security team, where we are laying the groundwork for the next generation of secure, developer-centric AI infrastructure. Our flagship product, the MCP Gateway, enables developers to connect, monitor, and secure AI agents and tools throughout their lifecycle—from prototype through to production. We are setting the standard for how developers can safely leverage the Model Context Protocol (MCP) in real-world applications.We are in search of a Principal Backend Engineer who excels at the crossroads of artificial intelligence, security, and developer experience. In this pivotal role, you will guide the technical strategy for the Gateway and its associated services, collaborating closely with Product, Design, and Security teams to craft intuitive frameworks and APIs that developers will love. Embrace a high-velocity, high-ownership environment where you will deliver swiftly, iterate frequently, and help shape the future of secure agent-based development.

At Docker, we are transforming the landscape of application development, empowering developers to focus on what truly matters. Our globally distributed, remote-first team is driven by a shared enthusiasm for innovation and exceptional developer experiences. With over 20 million active users and 20 billion image pulls each month, Docker stands as the leading tool for building, sharing, and running applications—trusted by both emerging startups and Fortune 100 companies. As we embark on an exciting growth journey, we invite you to join us for an incredible adventure!We are on the lookout for a Senior Software Engineer to become a vital member of our Data Infrastructure team, driving the technical advancement of our data systems that underpin analytics company-wide. As Docker scales to serve millions of developers and thousands of enterprise clients globally, we are in need of a senior technical leader who can design, cultivate, and deploy scalable data infrastructure that empowers data-driven decision-making across our Product, Engineering, Sales, Marketing, Finance, and Executive teams.In this hands-on leadership position, you will blend individual technical contributions with strategic thinking and mentorship. Your responsibilities will include architecting and implementing robust data systems and processes tailored to Docker's analytics requirements while setting technical standards and best practices for our data organization. Collaborating closely with cross-functional teams, you will gather requirements and deliver data solutions that drive key business outcomes.To succeed in this role, you must possess expert-level technical skills in modern data platforms, exceptional system design abilities, and the capacity to influence technical direction while mentoring and nurturing fellow engineers. You will play an essential part in scaling Docker's data capabilities as we continue to broaden our product offerings and serve enterprise customers around the globe.

The Allen Institute is seeking a visionary and experienced Director of AI Infrastructure to lead our innovative efforts in artificial intelligence. In this pivotal role, you will oversee the development and implementation of robust AI systems that drive our scientific endeavors.As the Director of AI Infrastructure, you will work closely with cross-functional teams to ensure the seamless integration of AI technologies into our research processes. You will be responsible for managing a talented team of engineers and data scientists, fostering a culture of innovation and collaboration.

Join Amperity as a Lead Software Development Engineer, where you will play a pivotal role in shaping our innovative software solutions. You will lead a team of talented engineers, driving the architecture and design of scalable software applications. Your expertise will guide the team through complex challenges, ensuring the delivery of high-quality products that meet our clients' needs.

About Sobek AISobek AI is at the forefront of creating a secure infrastructure for life sciences innovation and intergovernmental emergency response. With backing of over $10M in grants and funding, we collaborate with internationally recognized organizations to enhance mission-critical, distributed workflows using AI, all while safeguarding intellectual property and sensitive public health data.The RoleWe are seeking a talented Full-Stack Engineer to take ownership of product surfaces from start to finish. This role is high-impact and allows for significant ownership, focusing on transforming complex generative AI workflows into reliable software solutions.What You’ll DoOwn features across the stack: Bring ideas to life from conception to production, including UX flows, React/TypeScript UI, well-defined Python/TypeScript APIs/services, and oversee production rollout and performance measurements.Build intuitive, data-rich interfaces: Create tables, complex forms, document views, and comparisons that are accessible and responsive, tailored for modern generative AI workflows.Design and operate services: Develop clear REST/gRPC/streaming endpoints, model data using SQL/NoSQL and vector stores, implement queues/caches as necessary, and enhance with tracing and metrics.AI orchestration: Improve orchestration to effectively manage multi-LLM workflows with appropriate controls for cost, latency, and security/auditability.Ship quickly and iterate: Prototype, launch behind feature flags, gather feedback and telemetry, and refine based on user input.Collaborate deeply: Work alongside engineers across the stack to translate real-world needs into dependable software solutions.Be a force multiplier: Facilitate reviews and architectural decision records across frontend and backend to establish scalable patterns.About You3+ years of full-time software engineering experience.You have successfully owned and delivered full-stack software in production—from UI (experience with React/TypeScript is a plus) to backend services (experience with Python or Node.js is a plus)—and are familiar with deployment pipelines in product environments where both quality and speed are crucial.You are comfortable designing API contracts (paging, errors, retries) and debugging end-to-end with logs and traces.You can reason about concurrency and understand how to ensure reliability in distributed systems.

At FieldAI, we are revolutionizing the way robots engage with the real world. Our innovative Machine Learning team based in Seattle develops risk-aware, dependable, and field-ready AI systems that address the most challenging problems in robotics, unleashing the full potential of embodied intelligence. We adopt a practical methodology that transcends standard, purely data-driven techniques or transformer-exclusive architectures, merging state-of-the-art research with real-world applications. Our solutions have achieved global deployment, and we consistently enhance model performance through rapid refinements driven by actual field use.We are on the lookout for a talented Staff AI Software Engineer specializing in Edge Model Optimization & Deployment. In this pivotal role, you will take the lead in optimizing, integrating, and deploying our machine learning models onto real robotic platforms. You will be responsible for the entire edge inference stack, including profiling and accelerating models, enhancing runtime performance across latency, throughput, memory, and power consumption. Collaborating closely with perception, autonomy, and platform teams, you will ensure the delivery of robust on-robot behavior in real-world environments. You will set the technical direction, elevate engineering standards, and guarantee that our models operate efficiently and reliably on constrained hardware in diverse settings.This is a unique opportunity to influence the future of robotic autonomy by converting cutting-edge machine learning into high-performance, production-ready edge deployments that function reliably within complex, dynamic environments on actual robots.

About Our TeamJoin the Statsig team at OpenAI, where we engineer the essential experimentation, rollout, and analytics infrastructure that drives every aspect of our product development. Our innovative systems empower teams across OpenAI to launch features safely, conduct experiments, and analyze the performance of product and model changes in real environments.Based in our Bellevue office, we are a close-knit group that thrives on in-person collaboration, rapid execution with a focus on impact, and creating systems that enable creativity across the organization.About the RoleAs a Senior Infrastructure Engineer on the Statsig team, you will play a vital role in designing and scaling the core infrastructure that supports OpenAI's experimentation and rollout tools.You will engage with distributed systems that provide real-time configuration decisions, handle vast amounts of experimentation data, and facilitate analytics that help teams gauge the effectiveness of product and model adaptations in production.This position demands a deep technical understanding and emphasizes performance, scalability, and reliability at an unprecedented scale. You will architect systems capable of supporting billions of feature evaluations, adhering to stringent latency standards, and establishing the data foundation for experimentation throughout OpenAI's product ecosystem.In this position, you will:Design and implement low-latency configuration delivery systems that drive progressive rollouts across OpenAI's diverse product offerings.Develop a highly scalable data ingestion and analytics infrastructure to enhance experimentation, product analytics, and feature performance tracking.Elevate the performance, efficiency, and reliability of Statsig’s core infrastructure, ensuring systems remain fast and stable as OpenAI’s products expand globally.Optimize query performance and data accessibility for experimentation and analytics workflows utilized by teams across OpenAI.Lead significant technical initiatives and influence the architecture of the experimentation and rollout infrastructure utilized company-wide.You may excel in this role if you:Possess experience building large-scale distributed systems with rigorous performance and reliability standards.Thrive on solving low-latency systems challenges, such as real-time configuration delivery and data analysis.

Read AI develops tools that add intelligence to team collaboration, helping groups stay productive across meetings, messaging, and email. The platform connects with Zoom, Microsoft Teams, Google Meet, and Slack, making it easier for teams to coordinate and move projects ahead from anywhere. With $81 million in backing from Smash Capital, Madrona, and Goodwater Capital, Read AI is expanding its impact on AI-powered teamwork. Role overview This Senior Fullstack Software Engineer position is based at Read AI’s Seattle headquarters. The role involves both hands-on feature development and shaping the technical direction of the product. The engineer will design scalable systems, establish coding standards, and help define the technical roadmap. The work spans complex backend logic and building responsive, reliable user experiences. Read AI values engineers who are comfortable with ambiguity, mentor others, and focus on building systems that stand the test of time. What you will do Architectural leadership: Design and implement scalable web applications and distributed systems across the stack. Technical excellence: Maintain high code quality through code reviews, automated tests, and clear documentation. System ownership: Take responsibility for major product areas from initial design through deployment and ongoing improvement. Cross-functional strategy: Collaborate with Product and Design to shape the roadmap, balancing technical feasibility and scalability. Performance and reliability: Address issues affecting application speed, database performance, and frontend rendering. Mentorship: Support mid-level and junior engineers, encouraging best practices and ongoing learning. DevOps culture: Improve CI/CD pipelines, observability, and infrastructure-as-code. Location This role is on-site at Read AI’s Seattle HQ. Learn more Find additional information at https://www.read.ai/.

Job Title: AI-Native Software EngineerJoin us at firstmate as we reshape the service economy in the US with an AI-first approach. We seek a highly skilled developer who is deeply passionate about AI-driven development. If you can deliver a feature in 3 hours that normally takes a traditional senior engineer 3 days, this is the place for you. Here, waiting for a code review is not an option.Who You AreThe Innovator: You leverage every tool at your disposal to accelerate progress. Your pride lies in rapidly delivering exceptional products.Creative Problem Solver: You possess an innate ability to grasp UI design and customer experience, resulting in software that is not only functional but also aesthetically pleasing.Proficient in AI: You are well-versed in the capabilities and limitations of LLMs, continuously optimizing your development processes.Your ResponsibilitiesRapid Delivery: You will be expected to produce results at a pace that exceeds industry standards.Full Stack Development: You will engage with frontend, backend, databases, and infrastructure to tackle any challenge that arises.User-Centric Approach: You are comfortable working with raw data to define specifications tailored to end-user needs.QualificationsStrong Design Sense: You excel at creating visually appealing products that function seamlessly.Technical Proficiency: Proficient in JavaScript, PHP, and React Native.Advanced AI Knowledge: You possess deep understanding of AI coding practices beyond basic tools like Cursor or Copilot.Startup Mindset: You thrive in a dynamic environment and can act independently to resolve issues proactively.