Staff Software Engineer - Backend at Databricks | Seattle, WA

P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, from detecting security threats to developing life-saving cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly transformed from a small office in Berkeley, California, into a global entity with over 1,000 employees. We are trusted by thousands of organizations, ranging from startups to Fortune 100 companies, with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to building highly technical products that address significant real-world needs. We continuously push the boundaries of data and AI technology while maintaining the resilience, security, and scalability necessary for our customers' success on our platform. We operate one of the largest software platforms, managing millions of virtual machines, generating terabytes of logs, and processing exabytes of data daily. At this scale, we frequently encounter faults in cloud hardware, networks, and operating systems, and our software must effectively shield our customers from such issues. As a Backend Software Engineer, you will collaborate closely with your team and product management to prioritize, design, implement, test, and maintain microservices for the Databricks platform and products. Responsibilities include writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Potential teams you may join include: Data Science and Machine Learning Infrastructure: Develop services and infrastructure at the intersection of machine learning and distributed systems, empowering our flagship collaborative workspace, notebooks, IDE integrations, and project management tools. Our technology also facilitates machine learning at scale through tools for environment management, distributed training, and managing the ML lifecycle via MLflow. Compute Fabric: Create the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform, ensuring robustness, flexibility, and security.

Join SoFi as a Staff Software Engineer and play a pivotal role in shaping the future of our innovative financial technology solutions. You will collaborate with a talented team to design, develop, and implement cutting-edge software applications that enhance user experience while ensuring scalability and performance.

P-1126 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, from detecting security threats to developing cancer treatments. Our mission is to create and maintain the finest data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges central to their objectives. Our engineering teams are dedicated to designing advanced products that address significant needs across various sectors. We consistently innovate within the realms of data and AI technology while ensuring resilience, security, and scalability—key components for our clients' success on our platform. Databricks is entrusted with handling our clients' most sensitive data, and our Trust & Safety team is committed to building the most reliable data analytics and machine learning platform available. Security Engineering plays a vital role within Trust & Safety, and we seek experienced leaders to define our strategic vision in this essential domain.

At Databricks, we are driven by a passion for empowering data teams to address some of the most challenging problems in the world—from transforming the future of transportation to fast-tracking medical innovations. Our mission is to build and maintain the world's leading data and AI infrastructure platform, enabling our customers to harness deep data insights to enhance their business operations. Founded by engineers with a customer-centric approach, we eagerly embrace every opportunity to confront technical challenges, from crafting next-gen UI/UX for data interaction to scaling our services across millions of virtual machines. And this is just the beginning.As a Staff Frontend Engineer, you will collaborate with your team and product management to simplify data insights for our users. We seek engineers who are genuinely customer-focused, capable of overseeing the entire product and user experience beyond mere technical execution. You will lay the groundwork for developing robust, scalable, and delightful products.Your contributions will include creating experiences that guide our customers through the complete project lifecycle—from data loading and result visualization to statistical modeling and deployment as production artifacts.Design and deliver reusable UI primitives and component patterns that provide consistent behavior across consoles, enabling a write-once, run-anywhere approach.Define application bootstrapping and cross-surface navigation primitives that abstract console boundaries while ensuring accurate authorization and routing.Implement unified frontend data clients and service components.Create, deploy, test, and enhance platform components that support intricate frontend data exploration and visualization experiences.Offer reference patterns, templates, and tests that standardize portability, minimize rework, and expedite the delivery of cross-surface features.Collaborate with feature teams to establish single-console experiences and facilitate platform migrations from pilot pages to widespread adoption.

RDQ126R35 About DatabricksAt Databricks, we empower data teams to tackle the world's most pressing challenges—from detecting security threats to developing cancer treatments. Our mission is to create the premier data and AI infrastructure platform, allowing our clients to focus on innovation. Our engineering teams are dedicated to pushing the limits of data and AI technology while ensuring our platform operates with the resilience, security, and scalability that businesses require for success. About the Role We are cultivating an expanding ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team crafts frameworks, tools, and best practices to facilitate seamless integrations, empowering developers and partners to create impactful solutions. As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a pivotal role in enabling customers to integrate cutting-edge applications, support developers in thriving on Databricks, and shape the future of data and AI platforms. Your Impact Define and lead the ecosystem strategy for Databricks, a vital aspect of our platform's growth. Influence how applications and integrations enhance the Databricks experience for developers, partners, and customers. Design frameworks, APIs, and tools that simplify the process for partners and developers to build, integrate, and scale applications within the Databricks ecosystem. Empower customers to integrate leading-edge applications and specialized functionalities, enabling them to achieve competitive differentiation and enhance their AI and data capabilities. Guide and mentor engineers across teams, offering technical guidance, architectural direction, and career development support. Promote a culture of innovation, best practices, and knowledge sharing. Collaborate across product, engineering, and business development teams to align technical roadmaps with strategic business objectives. Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement. Represent Databricks at industry events and conferences, shaping the broader data and AI landscape while engaging with partners, customers, and developers to influence the future of our platform.

Integrate develops program management software for complex hardware projects, serving organizations in deep tech sectors like aerospace, robotics, and autonomous vehicles. The platform connects vendors, customers, and partners to streamline collaboration across company boundaries. By reducing manual work and communication barriers, Integrate supports teams working on demanding technical challenges. The company addresses the unique needs of hardware development, where traditional software often falls short. Integrate's solutions focus on improving coordination and communication for both internal teams and external stakeholders, helping organizations innovate more quickly and reliably. Role overview The Senior Backend Engineer will focus on building and scaling the infrastructure layer of Integrate’s platform. This position centers on new development, not maintenance. The work involves tackling distributed systems challenges, large-scale data federation, and architectural design to support an expanding customer base. Engineers at Integrate collaborate closely, make decisions quickly, and value technical rigor. Experience with large-scale systems, such as cloud migrations, distributed data pipelines, microservices, or event-driven architectures, is especially relevant for this role. Key responsibilities Design and scale distributed backend systems that process high-throughput, real-time data with complex dependencies. Profile and debug Go and Rust services to resolve performance issues. Contribute to data federation architecture, including S3 integration, graduation pipelines, and downstream data services. Develop and refine gRPC service interfaces and REST/JSON APIs for both internal and external use. Work with SQL and NoSQL databases, focusing on schema design, query optimization, and ensuring data durability. Collaborate with platform engineers and technical leads on infrastructure decisions. Instrument, monitor, and debug production systems, including participation in on-call rotations, root cause analysis, and incident management. Tech stack Main development uses Go, with Python for tooling and data workflows. The stack includes gRPC, REST/JSON, GraphQL, PostgreSQL, NoSQL databases, and Kubernetes-managed infrastructure. Infrastructure as code is managed with Terraform. Location This position is based in Seattle, WA.

Maxana is on the lookout for a talented and seasoned Backend Engineer to join our dynamic team, working on behalf of a confidential client: a leading AI platform utilized by machine learning teams across the globe. In this pivotal role, you will take ownership of features from inception to deployment, focusing on APIs, CLI tools, billing systems, and platform integrations. Our small, highly skilled team sets a high engineering standard, and you will collaborate closely with product and engineering leaders to drive innovation.Key ResponsibilitiesDevelop and maintain clean, efficient, and production-ready code in Go (Golang).Design, build, and scale APIs, CLI tools, billing systems, and security integrations.Collaborate with engineering and product leadership to define technical direction for substantial projects.Assess and enhance technical architecture, tooling, and workflows.Promote software quality, support continuous delivery, and actively mitigate technical debt.Provide mentorship to fellow engineers on system architecture and navigating high-uncertainty environments.

Join our dynamic team at Databricks as a Solutions Architect. In this pivotal role, you will leverage your expertise to design and implement innovative solutions for our clients, driving success and ensuring satisfaction.

About Read AI:At Read AI, we are transforming the way teams collaborate by infusing intelligence into every conversation. Our innovative platform enhances productivity across meetings, messages, and emails, allowing work to be accomplished more efficiently and with enhanced focus. We integrate seamlessly with popular tools such as Zoom, Microsoft Teams, Google Meet, Slack, and others, ensuring teams remain aligned and can progress, regardless of their physical location.With $81 million in backing from Smash Capital, Madrona, and Goodwater Capital, Read AI is on an exciting growth trajectory. If you are passionate about shaping the future of AI-driven collaboration and want to make a significant impact at a product-centric startup, we would love to connect with you.The Role:We are looking for a Staff Software Engineer to join our Core Services team. In this pivotal technical leadership role, you will be recognized as an authority throughout the organization. You will not only manage systems but will take ownership of the technical integrity of platforms that span various departments, ensuring our infrastructure is scalable, resilient, and innovative. Your contributions will significantly influence our engineering culture and the long-term success of the business.Responsibilities:Design, develop, and maintain robust backend services and APIs, primarily utilizing Python (FastAPI), SQLAlchemy, and AWS infrastructure.Create and implement features for data ingestion, third-party integrations (e.g., Slack, HubSpot, Notion), authentication/authorization, and enterprise-level security and compliance.Oversee the complete software development lifecycle: requirements gathering, design, implementation, testing, deployment, and monitoring.Work in close collaboration with product managers, front-end engineers, and data scientists to deliver cutting-edge solutions.Foster technical excellence through code reviews, mentorship, and adherence to best practices in software engineering.Participate in on-call rotations and contribute to the operational excellence, reliability, and observability of backend systems.Continuously enhance system performance, scalability, and reliability to accommodate rapid user and data growth.Promote a culture of innovation, ownership, and customer-centricity.

Mission At Databricks, we strive to simplify and democratize data and AI, empowering organizations to tackle the world’s most challenging problems. As a Senior Product Designer specializing in AI and Business Intelligence (BI) experiences, your goal will be to create intuitive, trustworthy, and actionable advanced analytics and generative AI solutions for users of all backgrounds. Your role transcends traditional design; you will craft the future of human-AI collaboration. You will define how users can interact with their data in conversational language and receive reliable answers. Your design will influence how insights are produced, articulated, scrutinized, and disseminated, creating a seamless connection between sophisticated AI systems and human decision-making. This position is based in our Seattle office, where you will collaborate closely with product and engineering teams. The impact you will have: Revolutionize user data exploration through natural language and AI support. Create transparent and trustworthy interactions for AI-generated insights. Design experiences that facilitate rapid movement from exploration to validation to action. Encourage collaboration among data engineers, analysts, and business leaders. Help establish new design paradigms for AI-centric enterprise software. Contribute to the long-term AI/BI strategy, shaping how Databricks stands out in the analytics arena.

Join SoFi as a Staff Software Engineer, where you'll play a pivotal role in architecting and developing innovative software solutions to transform the banking experience. Collaborate with cross-functional teams to design, build, and maintain scalable applications that optimize user engagement and ensure robust performance. Utilize your expertise in software development to enhance our product offerings and drive technological advancements.

Who We AreLightning AI is the innovative force behind PyTorch Lightning. Established in 2019, we offer a comprehensive platform designed for the seamless development, training, and deployment of AI systems, transforming ideas from research into production with minimal friction.Following our merger with Voltage Park, a cutting-edge neocloud and AI Factory, we combine developer-centric software with cost-effective, large-scale computing capabilities. Our tools empower teams to explore, train, and conduct production inferences while ensuring built-in security, observability, and control.We cater to solo researchers, startups, and large enterprises alike. With a global presence that includes offices in New York City, San Francisco, Seattle, and London, we are supported by leading investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our ValuesMove Fast: We act swiftly and with precision, breaking down significant challenges into manageable steps.Focus: We tackle one objective at a time, working collaboratively to deliver features with meticulous attention to detail.Balance: We recognize that sustained performance is rooted in rest and recovery, promoting a healthy work-life balance to keep our team thriving.Craftsmanship: Innovation is driven by excellence. We take pride in mastering our craft, ensuring every detail is significant.Minimal: Simplicity fuels our innovation. We strive to eliminate complexity through discipline, honing in on what genuinely matters.What We're Looking ForWe seek a talented Backend Engineer to enhance and scale the Lightning AI platform, working across frontend, CLI, API, billing, security, and integrations. The ideal candidate will take ownership of critical features and lead development from inception to completion while collaborating with a skilled team of engineers, product managers, and designers. You will move from proof of concept to release, emphasizing speed, quality, and iterative improvement.This is an exciting opportunity to create transformative technology that will revolutionize the machine-learning landscape!This is a hybrid role based in our Redmond office with an in-office requirement of 2 days per week. The salary for this position ranges from $120,000 to $250,000.

At Databricks, we are driven by a mission to empower data teams to tackle some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. We achieve this by providing an unparalleled data and AI infrastructure platform, enabling our clients to leverage deep insights for business improvement. Our goal is to simplify the complex data management journey for our users while upholding the highest standards of data security. As the Staff Product Manager for Security, you will spearhead the data security initiatives for the Databricks Lakehouse platform. Your leadership will shape the product strategy, focusing on the identification, prioritization, and delivery of essential external and internal controls that help our customers comply with privacy, confidentiality, digital sovereignty, and other regulatory requirements. You will design intuitive policy models that empower our customers to manage access to their critical assets effectively. Your contributions will instill confidence in IT and security administrators, facilitating increased adoption of Databricks within their organizations. Our data champions will benefit from the security measures and operational simplicity you provide, allowing them to concentrate on maximizing value for their users. You will directly report to a Senior Director of Product Management.

Integrate develops program management software for advanced machinery and systems, with a focus on organizations in deep tech fields such as aerospace, autonomous vehicles, and robotics. The team is based in Seattle and works to improve collaboration and streamline workflows for companies tackling complex hardware projects. Current tools often fall short when it comes to the pace and complexity of hardware development in these industries. Integrate addresses this gap by building solutions that help teams and partners communicate more effectively, allowing innovation to move faster and with fewer obstacles. Role overview The Backend Engineer will play a key role in building and shaping the core infrastructure behind Integrate's platform. This position involves more than maintenance, engineers here design new systems and solve technical challenges that matter. The team values those who enjoy tackling problems like distributed system optimization, scaling data federation, and designing for a growing customer base. Collaboration is central. Expect to work closely with other engineers who move quickly and make considered technical decisions. Experience with systems that manage significant consumer or commercial traffic, such as cloud migrations, microservices, distributed data pipelines, or event-driven architectures, is especially relevant. What you will do Design and improve distributed backend systems that process high-throughput, real-time data with complex dependencies Own performance profiling and debugging for Go and Rust services, identifying and resolving bottlenecks Contribute to data federation architecture, including S3 integration, graduation pipelines, and downstream data services Develop and refine gRPC service interfaces and REST/JSON APIs for both internal and external users Work with SQL and NoSQL databases, focusing on schema design, query optimization, and durability strategies Collaborate on infrastructure decisions with platform engineers and technical leads Monitor and troubleshoot production systems, participate in on-call rotations, root cause analysis, and incident response Tech stack The backend is primarily written in Go, with Python supporting tooling and data workflows. The platform uses gRPC, REST/JSON, GraphQL, PostgreSQL, NoSQL databases, and Kubernetes for orchestration. Infrastructure is managed with Terraform. Location This Backend Engineer position is based in Seattle, WA.

Join Databricks, where we are committed to empowering data teams to tackle the world's most challenging issues—from innovating transportation solutions to speeding up medical advancements. Our mission is realized through our exceptional data and AI infrastructure platform, which enables our clients to leverage deep data insights to enhance their business operations. Founded by engineers with a customer-first mindset, we eagerly embrace every technical challenge, from developing next-gen UI/UX interfaces to scaling our infrastructure across millions of virtual machines. And we are just getting started. As a Senior Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog), you will be at the forefront of the metadata and governance foundation for the Lakehouse. Unity Catalog not only ensures fine-grained security and governance capabilities but also enhances performance and productivity through features like lineage tracking, search, discovery, auditing, and compliance for our customers' data and AI assets. This role requires you to orchestrate all product activities from conceptualization to execution. You will engage with large enterprise customers to understand their needs, develop long-term product strategies, define product roadmaps, collaborate with engineering teams to build innovative solutions, and coordinate with various internal stakeholders to guarantee product success both pre- and post-launch. Your impact will include: Designing and launching new governance and security features within Unity Catalog. Defining and developing new platform services that empower Databricks’ data and AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to seamlessly integrate workload-specific governance capabilities that augment the value of Unity Catalog and the Lakehouse. Taking your visionary features from ideation and customer exploration to full-scale launch, including marketing strategies, field enablement, and fostering broad customer adoption across all segments. Providing insights about the data governance landscape, customer needs, and market trends to the engineering and leadership teams through close collaboration with customers and partners.

About Docker Docker builds tools used by over 20 million developers each month and supports more than 20 billion container image pulls. Organizations of all sizes rely on Docker for building, sharing, and deploying applications. Key products include Docker Desktop, Docker Hub, and Docker Scout. Team and Approach Docker operates as a remote-first company with a distributed team. The group focuses on shaping the future of software development, especially as AI technologies change how teams build and ship software. Docker provides secure, sandboxed environments and verified images to support trustworthy autonomous workflows. Role Overview: Staff Software Engineer - Billing This Staff Software Engineer role centers on Billing systems. The position involves designing infrastructure for AI agents that generate, deploy, and manage software. Responsibilities include ensuring system reliability and setting standards for AI-assisted infrastructure operations that impact the broader engineering organization.

Join Plaid, a leading financial technology company, as a Software Engineer. In this role, you will have the opportunity to design, build, and maintain innovative software solutions that empower millions of users to connect with their financial data seamlessly. Collaborate with cross-functional teams to deliver high-quality products that enhance user experience and drive our mission forward.

About Us At Otter, we understand that to thrive in the digital restaurant industry, a passion for technology is just as essential as a love for food and service. Our mission is to empower restaurateurs around the globe—big and small, from Chick-fil-A to Eataly—with innovative software solutions that enhance their online food delivery operations. By leveraging our technology, we help businesses boost sales, minimize order errors, and streamline delivery processes. Your Role Lead the design, development, and maintenance of real-time streaming data pipelines utilizing Apache Flink, Kafka, and other relevant technologies to ensure efficient and reliable data transfer. Implement comprehensive data quality measures, such as dynamic filtering, checkpointing, and auto-healing mechanisms to maintain robust and consistent data pipelines. Manage and support real-time data infrastructure, internal tools, and monitoring systems to ensure optimal pipeline health and performance. Collaborate across product, engineering, and analytics teams to fulfill data requirements and enhance feature development. Establish and advocate for best practices in streaming data engineering and data governance while optimizing data models for analytics. Qualifications Over 10 years of relevant industry experience. Familiarity with streaming data frameworks and tools (e.g., Apache Kafka, Apache Flink, Google Data Flow). Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. Proficient in programming languages such as Java, Python, or Scala, particularly in distributed computing environments. Strong understanding of SQL and relational data modeling principles. Excellent problem-solving skills coupled with a proactive and collaborative approach. Effective communication skills with the ability to articulate technical concepts to a diverse audience. Why Join Us? The demand for online food delivery is skyrocketing, with the U.S. market expanding from $10 billion to $100 billion in just five years, and projections suggest it could reach $500 billion to $1 trillion by 2030. Be part of a transformative team that is reshaping the restaurant industry for the better. Enjoy a supportive and collaborative work environment that fosters innovation and growth.

Join Aerostrat as a Senior Backend Engineer where you will play a pivotal role in developing robust, scalable backend systems. You will collaborate with cross-functional teams to deliver innovative software solutions that drive our business objectives. This position is perfect for someone who is passionate about technology and eager to contribute to high-impact projects.

Docker builds tools that millions of developers use to build, share, and run applications. Products like Docker Desktop, Docker Hub, and Docker Scout support a global community, from solo founders to large enterprises. Every month, over 20 million users rely on Docker, and the platform handles more than 20 billion container image pulls worldwide. The team is fully remote and distributed, with a focus on modernizing software development. As AI agents become integral to the development process, Docker provides secure infrastructure, verified images, and sandboxed environments to support trustworthy autonomous workflows. Docker is in a period of significant change, as AI-driven development moves from theory to practice. The company is setting standards for integrating AI-assisted software development into business-critical systems that affect revenue, compliance, and customer trust. Role Overview: Software Engineer - Billing Join the Billing Platform Engineering team to help shape Docker's commercial systems. This team builds and maintains the core billing infrastructure that supports millions of users and adapts as business needs evolve. What You Will Do Design and implement accurate, scalable, and auditable billing flows for subscriptions and usage-based models. Create APIs and define service boundaries that can evolve with new billing requirements. Architect software systems so AI agents can implement features with clear, precise specifications. Improve the checkout, upgrade, and payment experience for Docker’s users. This role involves close collaboration with product managers, designers, finance, and business operations teams, since billing systems touch many parts of the company. Strong communication and cross-team coordination are important. Key Responsibilities Lead and contribute to features across the billing stack, including subscription management, payment processing, entitlements, invoicing, and internal tools. Develop, review, and maintain backend services in Go/Golang and frontend components in TypeScript/React. This includes writing and maintaining unit, integration, and end-to-end tests. Design systems with enough clarity and precision to enable accurate AI-assisted implementation. Location Seattle, WA (remote-first team)