RDBMS Database Migration Specialist

Join our dynamic team at 360 IT Professionals as a Senior Database Engineer. In this pivotal role, you will leverage your extensive knowledge of SQL to design, implement, and optimize robust database solutions. You will collaborate with cross-functional teams to ensure data integrity and support the organization’s data-driven decision-making.As a Senior Database Engineer, your responsibilities will include developing complex SQL queries, ensuring database performance, and implementing best practices for data management. You will also play a key role in mentoring junior engineers and sharing your expertise throughout the organization.

Welcome to Demandbase:Demandbase is pioneering the only AI-driven pipeline platform that empowers go-to-market (GTM) teams to automate robust growth at scale. Our platform offers a cohesive view of data, insights, actions, and outcomes, enabling B2B enterprises to effectively align and execute their account-based GTM strategies with assurance. Trusted by thousands of businesses, Demandbase maximizes revenue, minimizes waste, and streamlines data and tech stacks—all within a single platform.We are dedicated to nurturing careers just as much as we are to developing cutting-edge technology. Our commitment extends to our people, culture, and the community surrounding us. Demandbase has been consistently recognized as one of the Best Places to Work in the San Francisco Bay Area by Fortune and one of the 60 Best Companies to Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.Role OverviewAs a Senior Database Platform Engineer, you will architect, develop, and enhance scalable database platforms that support Demandbase’s cloud-native applications. You will be instrumental in shaping the future of database reliability by integrating automation, observability, and compliance into database provisioning, operation, and scalability across AWS environments.This is a senior individual contributor role requiring strong technical ownership and the ability to influence cross-functional teams. You will lead a global Database Reliability Engineering (DBRE) organization, collaborate closely with product and platform teams, and modernize legacy database systems while facilitating a transition towards service-owned, self-service models.Note: The base compensation range for this position applies to candidates based in San Francisco, CA. For all other locations, the compensation range is determined by the primary work location of the candidate. Actual compensation packages are tailored to each candidate and depend on various factors, including skillset, years of experience, and depth of expertise.

P-97 At Databricks, we are on a mission to fundamentally simplify the entire data lifecycle—from ingestion and ETL to BI and ultimately to ML/AI—through a unified platform. We envision a future where the traditional data warehouse architecture is transformed by an innovative architectural model known as the Lakehouse (CIDR 2021 paper). This open platform merges data warehousing with advanced analytics, effectively addressing critical challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A key component in realizing this vision is the development of a next-generation decoupled query engine and structured storage system that surpasses the performance of specialized data warehouses while maintaining the flexibility of general-purpose systems like Spark™ to cater to a wide range of workloads, from ETL processes to data science applications. As a vital member of our team, you will engage in the design and implementation of these next-generation systems that aim to leapfrog the current state-of-the-art in the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization

Join Cloudflare as a Database Reliability Engineer, where you will play a crucial role in ensuring the reliability and performance of our database systems. You will work collaboratively with our engineering teams to develop, implement, and maintain robust database solutions that support our mission of making the internet safer and faster.Your responsibilities will include monitoring database performance, troubleshooting issues, and optimizing queries to enhance system efficiency. If you are passionate about databases and eager to make an impact in a dynamic environment, we encourage you to apply!

About CrunchyrollCrunchyroll, founded by passionate fans, is dedicated to sharing the art and culture of anime with a vibrant community. Serving over 100 million anime and manga enthusiasts in more than 200 countries, we provide diverse experiences, including streaming video, theatrical releases, gaming, merchandise, events, and more—all fueled by the beloved anime content.Join our team and contribute to shaping the future of anime!About the RoleAs Crunchyroll continues to evolve, our Data Engineering team is tasked with meeting unique challenges that arise as we support millions of anime fans globally. As a Senior Database Engineer, you will play a crucial role in maintaining and enhancing our data infrastructure's reliability, directly influencing the availability and performance of our data services. Your expertise will empower the organization to make informed, data-driven decisions. Collaborate with data engineers and software engineers to drive complete automation and establish best practices for deep monitoring and alerting.This position reports to the Director of Data Engineering, and we are open to applicants from Los Angeles, CA, and San Francisco, CA.

Role overview Scale AI seeks a Database Engineer to strengthen and refine its data infrastructure. The position centers on designing, building, and maintaining database systems that deliver high availability and dependable performance. What you will do Design and implement database solutions that align with business requirements Maintain and tune database systems to ensure reliability and speed Collaborate with engineering, product, and operations teams to improve data processing and management Location This role is based in San Francisco, CA or New York, NY.

Rithum™ stands as the leading commerce network globally, revolutionizing the collaboration between brands, suppliers, and retailers to create frictionless e-commerce experiences. Our platform empowers brands and retailers to drive exponential growth, streamline operations across various channels, scale product offerings, and improve profit margins. Today, over 40,000 companies trust Rithum to enhance their business across numerous channels, collectively representing over $50 billion in annual GMV. With our comprehensive commerce, marketing, and delivery solutions, our clients craft optimized consumer shopping experiences from start to finish. Overview The Database Reliability Engineering (DBRE) team at Rithum is crucial in ensuring the availability, reliability, and observability of our database systems. We leverage automation to minimize manual tasks while constantly seeking enhancements to our processes. Our team manages and optimizes an extensive SQL Server environment that spans hundreds of instances across a hybrid infrastructure (on-prem VMware and AWS), in addition to various relational and NoSQL database platforms such as MongoDB, DynamoDB, Elasticsearch, MySQL, Postgres, and Redis. These systems are integral to all facets of our operations. Our team thrives on a robust culture of curiosity, transparency, collaboration, and continuous learning. As a Senior Database Reliability Engineer, you will embody these values and cultivate them within your team. You will oversee diverse database systems and design and lead your projects with a technical focus.

Join our dynamic team as a Software Developer specializing in Oracle PL/SQL. In this role, you will leverage your programming expertise to develop and implement robust database solutions that enhance our applications and services. You will collaborate with cross-functional teams to ensure seamless integration and performance optimization.

Join Anthropic as a Staff+ Software Engineer focusing on Databases, where you'll be at the forefront of our innovative technology solutions. You'll work closely with a collaborative team to design, implement, and maintain robust database systems that empower our AI models and enhance user experience. Your expertise will contribute significantly to our mission of advancing AI safety and usability.

Join the Innovative Team at Plaud Inc.At Plaud, we are pioneering the most reliable AI work companion designed for professionals. Our note-taking solutions have already captivated over 1.5 million users globally since our inception in 2023. Our goal is to enhance human intelligence by developing cutting-edge infrastructure and interfaces that allow individuals to capture, extract, and leverage their thoughts and experiences seamlessly.Based in San Francisco and incorporated in Delaware, Plaud is at the forefront of merging human and AI intelligence through our unique hardware and software solutions. We uphold the highest standards of data security and privacy with our ISO certifications, including ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance.

As a Platform Engineer specializing in Databases and Storage at WorldLabs, you will play a critical role in designing, implementing, and maintaining robust database and storage solutions that drive our innovative platform. You will collaborate with cross-functional teams to ensure optimal performance, scalability, and security of our data systems.

About Our Team:Join the innovative Database Systems team at OpenAI, where we specialize in high-performance distributed databases. We are the architects behind Rockset, a cutting-edge real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. Rockset underpins core functionalities across all OpenAI product lines and supports various critical internal applications.About the Role:We are in search of engineers who are passionate about distributed systems, performance optimization at a low level (with our core engine developed in C++), and constructing scalable database infrastructures from scratch. As a member of the Database Systems team, you will play a key role in enhancing the core database engine, making significant contributions to ingestion, query execution, indexing, and storage improvements. You will collaborate with multiple teams across OpenAI to unlock new product capabilities and ensure the reliability and scalability of our online database as usage expands exponentially.Your Responsibilities Will Include:Design, develop, and maintain high-performance distributed systems.Identify and address performance bottlenecks to elevate infrastructure capabilities.Define and guide the long-term technical vision and evolution of the system.Collaborate with product, engineering, and research teams to deliver robust and scalable infrastructure.Investigate complex production issues across the entire technology stack.Contribute to incident response, retrospective analyses, and establishing best practices for system reliability.You Will Excel In This Role If You:Possess substantial experience in building, scaling, and optimizing distributed systems.Exhibit a keen interest in database internals, storage engines, or low-latency query systems.Enjoy tackling complex performance challenges in high-throughput systems.Have experience managing and operating production clusters at scale (e.g., Kubernetes or similar orchestration tools).Approach scalability, correctness, and reliability with a rigorous mindset.Thrive in a fast-paced environment where you can make a significant impact.Qualifications:4+ years of relevant industry experience with a focus on distributed systems.Proficiency in C++ or similar low-level programming languages.Strong problem-solving skills and attention to detail.Experience with performance monitoring and optimization tools.Excellent collaboration and communication skills.

Join Discord, a platform embraced by over 200 million users monthly, where gaming is at the heart of our community. With more than 90% of our users engaging in gaming, they collectively spend 1.5 billion hours exploring thousands of unique titles each month. Our mission is to enhance the gaming experience by facilitating seamless communication and interaction among players.The Database Infrastructure team is responsible for the development and management of all database systems and data services at Discord. These systems are critical for supporting our vast user base, which includes trillions of messages exchanged each month. Our small yet impactful team works across various domains, including databases, disk storage, and Rust-based data access services, playing a pivotal role in the company's growth and success!Explore our team's insights through our blog posts:How Discord Indexes Trillions of MessagesHow Discord Stores Trillions of MessagesHow Discord Supercharges Network Disks for Extreme Low-Latency

Join DigitalOcean as a Customer Success Engineer, specializing in databases, during the 2nd shift. In this dynamic role, you will be pivotal in ensuring the success and satisfaction of our customers by providing technical expertise and support for our database solutions. You will engage directly with our clients, addressing their needs and helping them achieve their goals with our products.

P-188 At Databricks, we are on a mission to revolutionize the data lifecycle—from ingestion and ETL to business intelligence and advanced machine learning. Our vision is centered around a unified platform that replaces the conventional data warehouse architecture with a cutting-edge Lakehouse model (CIDR 2021 paper). This innovative architecture aims to tackle significant challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited support for diverse use cases. A pivotal element of achieving this vision is the development of the next generation of decoupled query engines and structured storage systems that can surpass the performance of specialized data warehouses while retaining the versatility of general-purpose systems like Apache Spark™. This capability is essential for supporting a wide range of workloads, from ETL processes to complex data science applications. As a key member of this team, you will engage in one or more of the following areas to design and implement systems that set new standards in the industry: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization

About GustoAt Gusto, we are dedicated to empowering small businesses by managing essential services like payroll, health insurance, 401(k)s, and HR, allowing owners to focus on their passions and customers. With offices in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, fostering a workplace that reflects and celebrates the diverse customers we serve. Explore our Total Rewards philosophy. About the Role:We are seeking a seasoned engineer with extensive knowledge in distributed data systems to help shape the future of Gusto's storage architecture. In this impactful role, you will oversee intricate migrations, design high-scale systems, and establish benchmarks for automation, resilience, and security. Your work in implementing distributed database solutions will facilitate Gusto's ongoing growth and scalability.About the Team:The Datastores Infrastructure Engineering team is responsible for designing, building, and maintaining the data platforms that drive Gusto's products, including MySQL, Postgres, Redis, Kafka, and S3. We are committed to ensuring that our infrastructure is consistent, dependable, and equipped to support Gusto's expanding requirements. As we transition to self-hosted distributed databases, our focus lies in minimizing the blast radius, enhancing operational resilience, and enabling sustainable scalability.Here’s what you’ll do day-to-day:Architect, deploy, and manage the complete lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence.Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services.Define and implement efficiency enhancements across the storage infrastructure through query optimization, caching strategies, and workload management.Establish standards and develop reliable automation to maintain data consistency, integrity, and security across distributed systems.Continuously enhance operational excellence by decreasing on-call burdens with sustainable, long-term solutions.Collaborate with product engineering teams and technical partners to enable rapid and reliable product development.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive intelligence that is accessible and effective in any environment. We have identified a gap in current AI capabilities; existing models struggle to continuously process extensive streams of audio, video, and text data. Our vision is to bridge this gap by developing pioneering model architectures.Founded by PhD experts from the Stanford AI Lab, we are the creators of State Space Models (SSMs), a groundbreaking approach to training efficient, large-scale foundation models. Our team merges profound expertise in model innovation with systems engineering and product design to deliver advanced models and user experiences.Backed by leading investors such as Index Ventures and Lightspeed Venture Partners, along with an array of esteemed advisors, we are well-positioned to push the boundaries of AI.About the RoleWe are seeking a talented Software Engineer specializing in database systems to architect and scale Cartesia’s data infrastructure. You will play a crucial role in implementing robust data governance and developing user-friendly, secure database tools that empower both engineers and non-engineers.Your ImpactDesign and enhance database platforms to ensure scalability to over 100 times current capacity while maintaining uptime, latency, and accuracy.Construct data storage architectures that function seamlessly across various environments including AWS, GCP, on-premises systems, and third-party deployments.Facilitate accelerated development across the organization by providing high-quality database tools and resources to both technical and non-technical users.Implement secure access control mechanisms to ensure sensitive data is restricted to authorized personnel only.Develop scalable data governance systems focused on permissions, auditing, and compliance, utilizing IAM policies, ACLs, and security controls across a large user base.What You BringExpertise with cloud services such as AWS, GCP, or Azure, along with experience using infrastructure-as-code tools like Terraform.A proven history of managing database systems during periods of rapid growth in dynamic environments.

Join us in shaping the future of data and AI with Databricks SQL!At Databricks, we empower enterprises and startups globally by delivering cutting-edge Data & AI solutions. Our Databricks SQL (DBSQL) product stands at the forefront of next-generation AI-powered cloud data warehousing, enabling businesses to efficiently query, visualize, and make real-time decisions at scale. Recognized as the fastest-growing data warehouse globally, DBSQL is revolutionizing the industry.We are seeking a dynamic, strategic, and customer-focused Product Manager to drive innovation, define our roadmap, and guide DBSQL through its next phase of expansion.

Join LanceDB as a Senior Support Engineer and play a critical role in enhancing our customer experience. As part of our dynamic team, you will leverage your technical expertise to troubleshoot complex issues, provide timely resolutions, and ensure customer satisfaction. This position offers the opportunity to work closely with our engineering and product teams to iterate on our solutions and improve our services.