Backend Software Engineer at dev2 | Mountain View, CA

P-97 At Databricks, we are dedicated to empowering data teams to tackle the most significant challenges facing the world today. We achieve this by creating and managing the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Our commitment to innovation drives us to constantly explore the edges of data and AI technology while maintaining the resilience, security, and scalability essential for our customers to thrive on our platform. With one of the largest software platforms globally, our infrastructure comprises millions of virtual machines, producing terabytes of logs and processing exabytes of data daily. Given our scale, we routinely encounter faults in cloud hardware, networks, and operating systems, and our software must adeptly shield our clients from these issues. In the role of Performance Engineer, you will collaborate extensively with various teams across the organization to assess the performance of products and features. You will identify performance bottlenecks and partner with engineers to address performance and scalability challenges. This includes establishing performance targets for different software releases, guiding teams in developing performance benchmarks, conducting competitive benchmark analyses for various Databricks products, and performing in-depth analyses to diagnose and rectify performance issues.

At Databricks, we are dedicated to empowering data teams to tackle some of the most significant challenges in the world—from realizing the next mode of transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to harness deep data insights for business enhancement. Our engineering teams create technical products that address real-world needs. We continually push the limits of data and AI technology while ensuring the security and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, operating millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Our software is designed to seamlessly shield our customers from cloud hardware, network, and operating system faults. As a member of the Observability team, you will craft observability solutions that deliver insights into the health and performance of our products and infrastructure.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized by providing the world’s premier data and AI infrastructure platform, enabling customers to harness deep data insights for business enhancement. Our Search technologies are integral to this mission, facilitating keyword retrieval, semantic similarity through vector embeddings, and hybrid solutions that blend both methods. These capabilities enable users to discover and comprehend information across vast, intricate datasets, powering applications such as Retrieval Augmented Generation (RAG), AI assistants, recommendation systems, enterprise knowledge management, in-product search, and data exploration. As a Senior Engineering Manager for Search, you will be pivotal in designing and scaling our next-gen Search product, which includes Vector Search, Keyword Search, and Search Quality. You will lead the development of a robust, high-performance, cost-effective, and developer-friendly Search stack, equipping customers to create AI applications with precision, speed, and scalability. In addition to hands-on contributions, you will help define the long-term vision, mentor senior engineers, collaborate across teams, and spearhead strategic initiatives that enhance the technical and business impact of Search at Databricks.

Join Databricks as a Staff Software Engineer focused on Backend development, where you'll play a crucial role in enabling data teams to tackle some of the world's most challenging problems, ranging from security threat detection to cancer drug development. Our mission is to build and operate the world's leading data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, making us one of the fastest-growing SaaS companies worldwide.As part of our engineering team, you'll develop and maintain highly technical products that address significant real-world needs. We constantly push the limits of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success.Our software operates at an impressive scale, managing millions of virtual machines and processing exabytes of data daily. We frequently encounter cloud hardware, network, and operating system faults, and it is vital that our software effectively shields customers from these issues.As a Backend Software Engineer, you'll collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform. Your responsibilities will include writing software in Scala/Java, building data pipelines using Apache Spark and Apache Kafka, integrating third-party applications, and interacting with cloud APIs such as AWS and Azure.Possible teams you could join include:Data Science and Machine Learning Infrastructure: Develop services and infrastructure that blend machine learning and distributed systems, empowering collaborative workspaces, notebooks, IDE integrations, and project management tools.Compute Fabric: Create resource management infrastructure that supports big data and machine learning workloads in a robust, flexible, secure, and cloud-agnostic manner, managing millions of virtual machines.

Join Databricks as a Lead Security Architect and play a pivotal role in fortifying our IT infrastructure. In this fast-paced environment, you will design and implement a secure and scalable architecture to safeguard our corporate assets. Your focus will encompass crucial aspects of IT security, including Identity and Access Management (IAM), Zero Trust architecture, and endpoint security, all while ensuring the protection of critical business applications and sensitive data.Your deep expertise in security principles and comprehensive understanding of the entire infrastructure stack will be invaluable in crafting robust security solutions that are future-ready. You will help enhance the resilience and integrity of our systems against the ever-evolving cyber threat landscape.This position is critical for shaping our security strategy across various modern platforms including AWS, Azure, GCP, and SaaS solutions. You will establish a strong least privilege (PoLP) model, provide specialized IAM expertise, and securely support SaaS with sensitive information. Additionally, you will contribute to our internal strategy for secure AI development.Collaboration with cross-functional teams is essential to embed security throughout the technology stack, ensuring that our internal strategies align with enterprise security standards.

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.

Join Databricks, a leader in data analytics, as a Senior Financial Analyst within our General & Administration Financial Planning and Analysis (FP&A) Team. This pivotal role involves partnering with various departments to provide financial insights and guidance that drive investment decisions and fuel business growth.You will report to the Senior Finance Manager and be instrumental in enhancing forecast accuracy, refining corporate reporting, and collaborating with IT, People, and Legal teams. Your expertise will help ensure the organization meets its goals through data-driven financial modeling and analysis.Your Impact:Act as a primary finance partner to leaders in IT, People, and Legal, facilitating accurate forecasts.Take ownership of budget versus actual variance analysis and relevant reporting.Develop and maintain detailed financial models to assess functional costs and their cross-functional impacts.Collaborate with Accounting on accruals and assist in the month-end close process.Manage strategic projects and ad hoc requests to empower senior leaders in decision-making.Contribute to the company's long-range strategic planning initiatives.Lead initiatives for process and system improvements to support ongoing growth.

Join Databricks as a Senior Manager of Identity & Access Management (IAM)!At Databricks, we are on a mission to empower data teams to tackle the world's most challenging problems. As the Lakehouse company, we serve over 7,000 organizations globally, including industry leaders like Comcast, Condé Nast, and H&M. Our Lakehouse Platform uniquely combines data, analytics, and AI, enabling businesses to thrive in the digital age. Headquartered in San Francisco, our reach extends across the globe, driven by the original creators of Apache Spark™, Delta Lake, and MLflow. To learn more about us, visit www.databricks.com.About the RoleWe are seeking a visionary Senior Manager of Identity & Access Management (IAM) to spearhead our enterprise-wide identity, authentication, authorization, and access governance initiatives. This pivotal role entails defining the strategy, architecture, and execution of IAM capabilities that support our diverse stakeholders, including employees, customers, and global platform services. As our organization expands, IAM will become a cornerstone of our security framework and customer trust. You will ensure our identity systems are secure, user-friendly, scalable, and aligned with Zero Trust principles.This leadership position demands cross-functional collaboration with engineering, security, IT, compliance, and product teams to deliver reliable and secure identity services by default. Elevate your career with us and make a significant impact!

Moveworks seeks a Software Engineer to join its team in Mountain View, CA. The position focuses on improving user experiences and supporting day-to-day business operations. Role overview This engineer will collaborate with colleagues from various backgrounds to design and build new technical solutions. The work centers on creating tools and features that help streamline business processes. What you will do Work closely with other engineers and professionals to develop new products and features Contribute to projects that improve the efficiency and effectiveness of business operations Use modern technologies to address practical challenges Location This position is based in Mountain View, CA.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

Waymo, a leading autonomous driving technology company, is dedicated to becoming the world's most trusted driver. Established in 2009 as the Google Self-Driving Car Project, Waymo has been at the forefront of developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access and save lives currently lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rides provided and extensive experience driving more than 100 million miles on public roads, and tens of billions in simulation across over 15 U.S. states, we are committed to transforming transportation.At Waymo, we generate an extraordinary scale and complexity of data from billions of miles driven in simulations and millions on public roads. Central to our mission is the deep understanding of this data.Our world-class data analysis infrastructure is the cornerstone of our success. It is crucial for:Validating the safety and performance of the Waymo Driver.Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning.Facilitating data-driven decision-making for our commercial operations and product strategies.Standardizing our progress measurement and performance comparisons across different contexts.Insights derived from our data platforms influence every aspect of our technology and business. We are in search of an extraordinary technical leader to drive the vision and architecture of these essential systems.

About UsAt MAI (pronounced “my”), we are dedicated to transforming the landscape of advanced advertising technology. Our vision is to make innovative marketing tools, previously reserved for large corporations with extensive budgets, available to all. Utilizing AI agents, our platform automates and optimizes performance marketing, enabling small and mid-sized businesses to effectively scale their advertising efforts without the need for costly agencies or excessive manual campaign management.Founded by industry experts from Google and Instacart, we are proud to have secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth. This investment will allow us to enhance our product and engineering teams, bringing our vision of intelligent and autonomous marketing solutions to fruition. Our AI agents have already demonstrated their effectiveness, driving 40% more sales for clients and managing millions in monthly Google Ads expenditures. Our client waitlist is expanding rapidly.Why Join Us NowIn contrast to traditional software development, which follows established guidelines, we are pioneering the infrastructure for autonomous, intelligent agents—and we are charting the course ourselves.As a Software Engineer at MAI, you will not only write code; you will be instrumental in architecting the ecosystem where our AI agents learn and operate. Your contributions will have a significant impact across our entire technology stack, from the foundational data platforms that support our agents, to the core frameworks that empower their reasoning capabilities, all the way to the scalable systems that deliver their intelligence to our users. This is a unique opportunity to build a truly AI-native product from the ground up and tackle challenges at the cutting edge of the industry.You will be more than just a contributor on a large team; you will be a key player in a close-knit group of fewer than ten engineers, making a substantial impact and influencing the future trajectory of our company. We are in the formative stages of establishing three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis is a rare opportunity for personal and professional growth as these teams develop. We encourage you to utilize your expertise while exploring new projects outside your comfort zone, learning from colleagues and evolving into a more versatile engineer.

Who We Are Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are on a mission to construct the most scalable autonomous driver, merging advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, from robotaxis and commercial fleets to personal vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercially viable autonomous vehicles, fostering a future that is safer, more connected, and enriched. About the RoleSimulation plays a crucial role in the development of autonomous technology. Our Simulation team is tasked with creating a powerful simulator that underpins all simulations at Nuro, enabling us to confidently develop and test our self-driving technologies. The team tackles a variety of novel simulation challenges, employing innovative and creative approaches—ranging from synthesizing sensor data and automating scenario generation to optimizing performance and resources. Collaboration with various teams across the company allows us to broaden the horizons of what can be simulated. About the Work Enhance the functionality, performance, and user experience of our simulator. Develop inventive strategies to elevate simulation realism and coverage through synthesis. Design and implement solutions to streamline interactions among complex systems. Engage in diverse projects, from new greenfield initiatives to scaling existing systems. Work closely with autonomy engineers to deepen your understanding of autonomous systems and devise optimal solutions.

(P-1286) At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world, from realizing the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating and operating the world's leading data and AI infrastructure platform, enabling our customers to leverage deep data insights to enhance their business performance. The Networking Infrastructure forms a critical component of our platform, supporting all our data and AI products. It also underpins essential enterprise security features that customers utilize across our offerings to establish connectivity solutions to cloud resources and prevent data exfiltration. We are on the lookout for seasoned Senior Software Engineers with extensive experience in large-scale distributed systems to join our Networking Infrastructure team. In this role, you will design and automate the networking foundations for expansive compute clusters across all major cloud providers, link millions of virtual machines operating on Databricks, and lead the development of secure and scalable connectivity that drives all data and AI workloads. Collaborating closely with cross-functional teams, including product management, operations, and other engineering teams, you will ensure the delivery of robust, scalable, and efficient networking systems. This is an outstanding opportunity for a hands-on leader who thrives in a dynamic environment and is eager to tackle innovative multicloud and distributed systems challenges.

P-78 At Databricks, we are driven by a commitment to empower data teams in tackling some of the most significant challenges facing the world today—from revolutionizing transportation to speeding up the discovery of medical innovations. By constructing and managing the premier data and AI infrastructure platform, we enable our clients to harness profound data insights to enhance their operations. Founded by engineers and intensely focused on customer satisfaction, we eagerly embrace every chance to address technical challenges, whether it’s crafting next-generation UI/UX for data interaction or scaling our services and infrastructure across millions of virtual machines. And we are just getting started. As a Senior Software Engineer with a focus on backend development, you will collaborate with your team to create scalable infrastructure and products for the Databricks platform.

At Databricks, we strive to revolutionize the data lifecycle from ingestion to ETL, business intelligence (BI), and machine learning (ML) with our unified platform. We envision a future where the traditional data warehouse architecture is superseded by an innovative architectural model known as the Lakehouse (CIDR 2021 paper). This cutting-edge approach integrates data warehousing with advanced analytics, effectively addressing significant challenges such as data staleness, reliability, cost of ownership, data lock-in, and limited use-case support.A pivotal component of achieving this vision is the development of the next-gen (decoupled) query engine and structured storage system designed to surpass the performance of conventional data warehouses for relational queries while maintaining the flexibility of general-purpose systems like Apache Spark™. This will empower a wide range of workloads, from ETL processes to data science applications.As a member of our team, you will engage in one or more of the following areas to design and implement these advanced systems that set new benchmarks:Query compilation and optimizationDistributed query execution and schedulingVectorized execution engineData securityResource managementTransaction coordinationEfficient storage structures (encodings, indexes)Automatic physical data optimization

Moveworks is looking for a DevOps Software Engineer in Mountain View, CA. This position centers on improving and maintaining cloud-based solutions for the team and clients. Role overview As a DevOps Software Engineer, collaboration with various teams will be part of daily work. The main focus is on automating processes, refining deployment pipelines, and supporting smooth integration of software components. What you will do Work with cross-functional groups to automate workflows and deployments Optimize the deployment pipeline for reliability and efficiency Help integrate software components to ensure stable releases Impact Expertise in DevOps practices will help maintain high service standards for clients and support ongoing improvements to cloud-based offerings.

Join Waymo as a Senior Staff Software Engineer specializing in TLM (Traffic Light Management). In this crucial role, you will lead the design and development of innovative software solutions that enhance our autonomous vehicle systems. Your expertise will contribute significantly to improving traffic management systems and ensuring seamless operations for our fleet.

The OpportunityAre you a seasoned Senior Software Engineer specializing in Backend Infrastructure eager to drive significant advancements at the confluence of scalable web services and innovative AI technologies? Otter.ai is on the lookout for a skilled engineer to spearhead the creation, deployment, and management of web services and infrastructure that empower our AI-driven products and initiatives. In our vibrant engineering team, you will work hand in hand with AI researchers, product managers, and technology experts to deliver transformative solutions that enhance the experiences of professional end-users and enterprise clients across various sectors.Your ImpactUtilize your extensive expertise in Python to develop and refine backend systems that integrate seamlessly with machine learning and AI-driven functionalities.Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL.Architect scalable solutions using technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to facilitate sophisticated AI models and workflows.Write reusable, efficient, and maintainable code that forms the backbone of our high-performance web services and supports real-time AI analytics.Collaborate closely with AI teams to enhance data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.Effectively communicate with stakeholders across various teams, articulating technical strategies related to AI-enabled infrastructure.

About EarnInAt EarnIn, a trailblazer in earned wage access, we are dedicated to creating innovative solutions that offer real-time financial flexibility to individuals navigating the challenges of living paycheck to paycheck. Our platform empowers users to access their earnings as they work, allowing them to spend, save, and grow their finances without the burden of mandatory fees, interest rates, or credit checks.With a seasoned leadership team and robust backing from esteemed investors including A16Z, Matrix Partners, DST, and Ribbit Capital, we are poised for rapid growth. We are eager to welcome exceptional talent to join us on our journey as we expand our offerings and impact.POSITION SUMMARYWe are looking for a skilled and collaborative Senior Web Engineer to join our dynamic team. You will play a vital role in our Early Bets initiatives, which are essential for delivering innovative experiences and products to our users, fostering a comprehensive ecosystem of financial solutions. The ideal candidate excels in defining technical solutions amidst uncertainty and works closely with Product teams to clarify requirements. Candidates with a track record of building 0-to-1 products and designing scalable architectures that adapt to rapid product changes will thrive in this role. Experience in early-stage software products or Research & Development for emerging technologies is highly valued.The salary range for this full-time position is $210,000 - $257,000, in addition to equity and benefits. This role is hybrid, requiring in-office work two days a week at our Mountain View headquarters.