Staff Backend Software Engineer at Saris AI | San Francisco

P-150 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 the development of cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has evolved from a modest office in Berkeley, California, to a global enterprise with over 1000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, establishing us as one of the fastest-growing SaaS firms worldwide. Our engineering teams design and develop highly technical products that meet significant real-world needs. We continually push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from any disruptions. As a Software Engineer focused on backend development, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate microservices for the Databricks platform and products. This role includes writing software in Scala/Java, building data pipelines using Apache Spark™ and Apache Kafka, integrating with third-party applications, and interacting with cloud APIs such as AWS, Azure, CloudFormation, and Terraform. Below are examples of teams you can join: Data Science and Machine Learning Infrastructure: Develop services and infrastructure that bridge the gap between machine learning and distributed systems. Our technology supports flagship collaborative workspaces, notebooks, IDE integrations, and project management tools. We also facilitate large-scale machine learning through environment management, distributed training, and lifecycle management via MLflow. Compute Fabric: Construct the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic manner. This software oversees millions of virtual machines.

Join Databricks as a Senior Backend Software Engineer and contribute to solving some of the world's most challenging problems. We empower data teams through our state-of-the-art data and AI infrastructure platform, enabling businesses to leverage deep data insights for transformative growth. At Databricks, founded by engineers and driven by a customer-first philosophy, we tackle technical challenges with enthusiasm — from designing next-gen UI/UX for data interfacing to scaling our services across millions of virtual machines.In this role, you will collaborate closely with your team to develop scalable infrastructure and innovative products for the Databricks platform.

Join our innovative team at Databricks as a Staff Backend Software Engineer focusing on our cutting-edge AI Platform. In this pivotal role, you will be responsible for designing, developing, and optimizing backend systems that empower data scientists and engineers to build AI applications efficiently.As a key contributor, you will work closely with cross-functional teams to deliver scalable solutions that enhance our platform's capabilities. Your expertise will drive the development of robust features that support machine learning workflows and big data processing.

Join Databricks as a Staff Backend Software Engineer for our cutting-edge AI Platform. In this pivotal role, you will design and implement robust backend systems that power innovative AI solutions. Collaborate with a talented team to drive impactful projects and shape the future of data and AI.

Join Databricks as a Staff Backend Software Engineer on our cutting-edge AI Platform team. We are on a mission to simplify data and AI for enterprises worldwide. In this role, you will be pivotal in developing robust backend systems that support our AI initiatives, driving innovation and efficiency.As a member of our dynamic team, you will work with the latest technologies and methodologies to create scalable solutions that meet the needs of our clients. Your expertise will help shape the future of our AI Platform, delivering exceptional user experiences and insights.

Join Databricks as a Staff Backend Software Engineer on our AI Platform team, where you will play a pivotal role in shaping the future of data analytics and machine learning. You will work collaboratively with talented engineers to design, develop, and enhance robust backend systems that drive our cutting-edge AI solutions. Your innovative mindset and technical expertise will help us deliver unparalleled value to our customers.

About This Role Join Databricks as a Software Engineer focused on GenAI inference, where you will play a pivotal role in designing, developing, and enhancing the inference engine that drives our Foundation Model API. Collaborating at the intersection of research and production, you will ensure our large language model (LLM) serving systems are optimized for speed, scalability, and efficiency. Your contributions will span the entire GenAI inference stack, from kernels and runtimes to orchestration and memory management. What You Will Do Participate in the design and implementation of the inference engine, collaborating on a model-serving stack tailored for large-scale LLM inference. Work closely with researchers to integrate new model architectures or features such as sparsity, activation compression, and mixture-of-experts into the engine. Optimize latency, throughput, memory efficiency, and hardware utilization across GPUs and other accelerators. Build and maintain tools for instrumentation, profiling, and tracing to identify bottlenecks and inform optimization efforts. Develop scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads. Ensure reliability, reproducibility, and fault tolerance in inference pipelines, including A/B launches, rollback, and model versioning. Integrate with federated and distributed inference infrastructure, orchestrating across nodes, balancing load, and managing communication overhead. Engage in cross-functional collaboration with platform engineers, cloud infrastructure, and security/compliance teams. Document and share insights, contributing to internal best practices and open-source initiatives as appropriate.

The Applied AI team at Databricks is at the forefront of pioneering GenAI-powered products. In recent years, we have successfully launched the Databricks Assistant, AI/BI Genie, and Agent Bricks, collaborating with product teams to significantly enhance LLM quality for these offerings. These innovations are utilized by hundreds of thousands of Databricks users daily. We are dedicated to solving complex challenges such as code suggestion, error detection and correction, text-to-SQL generation, automatic pipeline generation, and knowledge QA.As we continue to evolve our GenAI products, we are looking for multiple GenAI Engineers at various experience levels to lead the next phase of our development. Our goals for 2025 include improving LLM quality, broadening GenAI capabilities across Databricks products, and reinforcing our platform architecture to facilitate seamless AI interactions on a large scale.

About SemgrepSemgrep is at the forefront of code security, empowering developers to innovate seamlessly. Our platform enables teams to identify, flag, and resolve genuine issues before deployment, all while leveraging an adaptive security framework that evolves as developers code. Semgrep integrates security into the development process without hindering productivity, offering developers the autonomy to work efficiently while ensuring security teams maintain oversight, control, and assurance. With advanced AI capabilities that minimize false positives and prioritize actionable vulnerabilities, we have earned the trust of 95% of security reviewers across over 6 million findings. Semgrep is committed to achieving zero false positives, significantly reducing the workload for AppSec teams by enabling them to triage 80% fewer false alerts across both Code and Supply Chain, effectively managing their backlog.Founded in San Francisco and supported by prominent investors such as Menlo Ventures, Felicis Ventures, Lightspeed Venture Partners, Redpoint Ventures, and Sequoia Capital, Semgrep has been recognized by Gartner in the Application Security Testing sector and is trusted by leading organizations including Snowflake, Dropbox, and Figma. Discover more at semgrep.dev.About the RoleAs a Staff Backend Engineer, you will design, build, and maintain robust backend and infrastructure systems, ensuring a fast and reliable experience for our users. You will collaborate closely with fellow engineers to develop the APIs, data models, and services that drive Semgrep’s products at scale. A solid understanding of databases, query optimization, and distributed systems is essential, along with experience in integrating third-party solutions into existing codebases.Our technology stack includes TypeScript and React for the frontend, while the backend is powered by Python, Flask, and SQLAlchemy, all deployed through Kubernetes and hosted on AWS. Prior experience with these technologies is preferred, but a willingness to learn is equally valued!This is a hybrid role, with an expectation of in-office presence 3 or more days a week in our San Francisco, New York, Boston, or Denver offices, depending on your team. Remote work may be considered for exceptional candidates.CompensationThe estimated annual salary range for this position is between $202,000 and $238,000 USD. The actual salary will be based on various factors, including job-related skills, relevant experience, qualifications, location, internal equity, and market data. In addition to the base salary, total compensation may include equity, variable compensation, and benefits. We consider equity a vital part of our overall compensation package.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small 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 developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

P-1398 Note: This is a hybrid role requiring approximately 3 days in the office in Plano, TX. Mission: As a Staff Data & AI Technical Solutions Engineer, you will take the lead in developing and guiding others in crafting innovative Data & AI technical solutions for various customer issues. This includes an in-depth exploration of production data pipelines, AI workflows, streaming data ingestion, and more. You possess extensive expertise in Data & AI architectures, having encountered a diverse array of use cases while successfully managing intricate production environments in compliance with Service Level Agreements (SLAs). You will work collaboratively with product engineering and customer account teams to deliver exceptional results for customers, especially in critical production downtime scenarios. Your role is to empower customers with the knowledge and skills necessary to create efficient architectures and dependable services, leveraging Databricks’ platform to achieve their strategic goals. Reporting to a Technical Support Engineering manager, you are recognized as a technical authority within a leading global support engineering organization, celebrated for your leadership, technical knowledge, and ability to resolve even the most challenging customer situations. The impact you will have: Lead and direct technical solutions for a wide range of complex challenges reported by Databricks customers, including escalated and critical cases. Conduct comprehensive code-level analysis and systems architecture assessments of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving. Act as a customer support advisor, adept at diffusing escalations during incidents directly with customer stakeholders, swiftly identifying mitigations and solutions for advanced use cases, and strategically helping to avert future customer issues. Contribute to simplifying Databricks products and enhancing customer production environments' stability by influencing Engineering and Backline Support teams to identify areas for product improvements. Establish yourself as a deep technical expert and leader in the Databricks platform and production systems, mentoring others to share your expertise. What we look for: A minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines, with relevant past experience in Spark being mandatory. Proficiency in SQL databases or data warehouses, among other technical skills.

Role overview Patreon is seeking a Staff Software Engineer specializing in Backend Platform for its San Francisco office. The position centers on designing and building scalable backend services that support and enhance the experience for creators using Patreon. What you will do Design and implement backend systems that can grow alongside Patreon's expanding user base Partner with engineers, product managers, and other teams to deliver reliable and user-friendly platform features Help guide technical decisions that influence the future direction of Patreon's backend architecture Collaboration This role works closely with cross-functional teams to ensure the platform addresses both technical requirements and user needs.

The Applied AI team at Databricks is dedicated to pioneering advancements in GenAI-driven products. In recent years, we have successfully launched notable innovations such as the Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are utilized by hundreds of thousands of Databricks users daily. We are addressing complex challenges such as code suggestions, error detection and correction, text-to-SQL generation, automatic pipeline creation, and knowledge QA. As our GenAI products continue to advance, we are on the lookout for multiple GenAI Engineers, ranging from junior to senior levels, to spearhead the next phase of development. In 2025, our focus will be on enhancing the quality of LLMs, broadening GenAI functionalities across Databricks products, and fortifying our platform architecture to facilitate seamless AI interactions at scale.

Join Giga's Innovative TeamAt Giga, we're on the cutting edge of technology, having successfully raised $61 million in Series A funding. Our pioneering real-time AI agents are designed to understand emotions, resolve customer issues instantaneously, and scale across some of the largest enterprises globally. We are proud to serve notable clients, including DoorDash.As we stand at a crucial turning point in our journey, we invite talented engineers to join us in achieving our vision of becoming the leading AI platform for enterprise automation, powered by our voice superintelligence.The work we do impacts millions daily, providing our engineers with the autonomy to shape their projects and make a tangible difference. With visionary founders, a successful business model, and a clear roadmap for future growth, this is an extraordinary opportunity to join a generational company.Learn more about us through these articles:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipYour Role as a Staff Backend EngineerWe are seeking a Staff Backend Engineer to be a key player in defining the technical strategy of our backend systems. You will be responsible for leading complex projects, making pivotal architectural decisions, and elevating engineering standards across our team.This position is tailored for those who want to be builders at heart. You will write code, take ownership of systems, and deliver results while also looking ahead to determine future development directions for our team.Key ResponsibilitiesYou will spearhead technical initiatives across the organization, including:System architecture: Innovating our agent infrastructure to seamlessly scale while balancing speed, reliability, and complexity.Challenging technical problems: Leading high-stakes projects where the consequences of failure could significantly impact our business.Technical strategy: Proactively identifying system gaps and proposing solutions to enhance our platform.

At Databricks, we are driven by our mission to empower data teams to tackle the world's most challenging problems—whether it's realizing the next mode of transportation or accelerating medical advancements. Our dedication is to build and operate the premier Data and AI infrastructure platform, enabling our clients to harness deep insights from data to enhance their operations. We are on the lookout for a Senior Engineering Manager to join our Photon team, playing a pivotal role in defining the next generation of ultra-fast, scalable data processing solutions. In this role, you will lead a team of exceptional engineers working on Photon—the innovative query engine that powers Databricks' groundbreaking Lakehouse Platform. This is a unique opportunity to drive innovation on a grand scale, optimize data systems for tangible results, and collaborate with top experts in query optimization, execution, storage, and large-scale analytics. If you are passionate about empowering teams, architecting groundbreaking technologies, and accelerating analytics for millions of users, we invite you to join our team.

About DEUNA DEUNA is an innovative startup transforming the landscape of global commerce with our groundbreaking AI-driven orchestration and payments platform, ATHIA. Our solution empowers large enterprises to enhance approval rates, minimize costs, and discover new revenue streams. Developed by a team recognized as the fastest-growing Commerce OS in Latin America, ATHIA integrates payment intelligence, checkout optimization, and data orchestration into a unified solution.With robust integrations across over 300 payment service providers and alternative payment methods, and with more than 20% of Mexico’s digital economy processed through our platform, we simplify global payment processes via a single integration and centralized reconciliation.As we expand into the U.S. market to fulfill the pressing requirements of large retailers, marketplaces, airlines, and quick-service restaurants (QSRs), we invite you to join us in shaping the future of payments! Role OverviewWe are on the lookout for a Backend Staff Engineer who will serve as a technical expert and architectural leader for our backend systems. This position focuses on tackling complex engineering challenges, scaling distributed systems, and establishing backend engineering standards across the organization.This is not a management role; instead, you will act as a technical authority, collaborating with Engineering Managers while taking charge of technical depth and backend architecture decisions. You will thrive in a dynamic startup environment where backend systems are critical to product capabilities.Key ResponsibilitiesBackend Architecture & System Design- Create and enhance scalable, secure, and resilient backend systems.- Architect high-availability APIs and distributed services.- Establish best practices for reliability, observability, and performance.Deep Technical Contribution- Write high-quality, production-ready backend code.- Lead refactoring initiatives and performance enhancements.- Identify system bottlenecks and implement scalable solutions.- Design data models, caching strategies, and asynchronous workflows.Technical Influence- Provide technical guidance across teams.- Facilitate complex design discussions and evaluate trade-offs.- Enhance backend development standards and documentation practices.Scalability & Reliability- Design systems capable of managing high-traffic and transaction-intensive workloads.- Define strategies for load balancing, scaling, monitoring, and failure management.- Optimize system instrumentation and monitoring practices.

About UsScribe is a dynamic company where outstanding talent thrives. With over 94% of the Fortune 500 relying on our platform, we empower teams to accomplish their tasks efficiently while continuously improving their workflows. Our innovative Workflow AI technology streamlines and enhances processes, enabling teams to work smarter and more consistently.Since our inception in 2019, we've experienced rapid growth, amassing over 5 million users across 600,000 businesses. Based in the heart of San Francisco, we have been recognized as a LinkedIn Top Startup and are valued at over $1 billion, supported by premier investors. Join us in transforming the way people approach their work.Our Work CultureWe are passionate builders dedicated to honing our skills. Our team values collaboration and shared success, embracing principles such as:Accelerating impactRaising the barEmpowering our usersClear communication is kindFostering rapid learningOne team, one visionAbout This RoleWe are seeking a talented and seasoned backend engineer to become a Staff Engineer on our Core Engineering team. This pivotal group is responsible for the most critical user experiences at Scribe, encompassing functionalities like viewing and editing Scribes, managing Pages, Embeds, Exports, and supporting essential Integrations. Your contributions will directly enhance how users create, share, and leverage documentation, significantly improving their effectiveness.If you are driven by a passion for addressing real user challenges and approaching problems with both practicality and elegance, this is your chance to work closely with designers, user advocates, and engineers across the technology stack to shape the future of Scribe. As a Staff Engineer, you will play a vital role in system design, elevate our engineering culture, and mentor fellow engineers.Your Responsibilities Will IncludeLeading the development of new features within our Django monolith, focusing on core experiences such as viewing and editing Scribes, Pages, Embeds, Exports, and related Integrations.Enhancing database queries, endpoints, and caching layers to boost performance and scalability in critical user workflows.Collaborating across teams to ensure seamless integration and user experience.

About AnonAnon is revolutionizing enterprise data workflows by creating a platform that empowers businesses to deploy authenticated AI agents.Our mission is to tackle one of the most pressing issues in enterprise automation: accessing and transforming data that is locked behind authentication barriers. Our innovative platform enables AI agents to securely connect with any web-based system, extracting unstructured data and delivering it through modern APIs.Since our inception in 2023, we have transformed extensive manual processes into automated workflows that complete in mere minutes. We have secured $14 million in funding from esteemed investors such as Union Square Ventures, Forerunner Ventures, Okta Ventures, and Abstract Ventures.Our vision is clear: every business system should be accessible to AI agents. If you are passionate about building the infrastructure that will drive the next wave of AI applications, we invite you to join our dedicated team of 12 in San Francisco.www.anon.com/careers

Join Us at ApiphanyAt Apiphany, we are at the forefront of foundational AI technology, driving innovation in physical product development. Our mission is to support global leaders in automotive, aerospace, medtech, and energy sectors by transforming complex, unstructured technical data into actionable insights in real-time. With investment from notable firms like Markforged, Databricks, GM, and Character, we aim to redefine engineering decision-making, simplifying complexity for top-tier manufacturers worldwide.Our cutting-edge models are designed to tackle the intricacies of engineering and manufacturing, incorporating a deep understanding of physics, design specifications, and program constraints. We are a compact yet highly skilled team composed of builders from prestigious institutions including Stanford, Berkeley, MIT, UW, and CMU, alongside industry veterans from GM, Ford, and Genesis Therapeutics. Together, we share a passion for revolutionizing hard-tech and establishing a company that sets the standard in our field.Your RoleIn the role of Senior / Staff Backend Engineer at Apiphany, you will take charge of designing, building, and scaling the essential systems that drive our intelligence platform. You will be responsible for developing low-latency backend services and APIs capable of processing extensive engineering data streams, maintaining security and compliance, and architecting systems for optimal performance and availability. Additionally, you will influence long-term architectural decisions, guide your colleagues through mentorship, and establish best practices for scaling backend services to deliver robust and high-performance applications.