Senior Data Center Engineer II at DigitalOcean | San Francisco

Join DigitalOcean as a Senior Data Center Engineer II, where you will play a pivotal role in optimizing our data center operations. You will collaborate with a dedicated team of engineers to ensure the efficiency and reliability of our infrastructure.

Join our innovative team at DigitalOcean as a Senior Data Center Engineer II. In this pivotal role, you will be responsible for designing, implementing, and maintaining our cutting-edge data center infrastructure. Your expertise will drive improvements in efficiency and reliability while leading initiatives to optimize operations.The ideal candidate will possess strong technical skills, a passion for problem-solving, and a commitment to excellence in a fast-paced environment. You will collaborate with cross-functional teams to ensure our systems meet the highest standards of performance and security.

Adyen is seeking a skilled Data Center Engineer II to join our dynamic team in San Francisco. In this role, you will play a critical part in maintaining our data center infrastructure, ensuring optimal performance and reliability. Your expertise will contribute to the deployment of innovative solutions that enhance our operations and support our rapid growth.The ideal candidate will have a solid understanding of data center technologies and a passion for continuous improvement. You will collaborate with cross-functional teams, troubleshoot complex issues, and implement best practices to optimize our systems.

DigitalOcean is looking for a Hardware Sustaining Engineer in San Francisco to help improve and maintain the hardware that powers our global cloud platform. This role supports the Infra::Machines::Design team, focusing on the server fleet and data center infrastructure. What you will do Optimize and troubleshoot large-scale data center hardware to keep systems running smoothly for our customers. Enhance and support the hardware and firmware that form the backbone of DigitalOcean’s server infrastructure. Work with a collaborative team to address new challenges as we grow our data center presence and expand cloud capabilities. Explore and evaluate advanced technologies to strengthen our hardware support. Who we’re looking for Experience with data center hardware maintenance and troubleshooting. Interest in scaling infrastructure and supporting cloud services. Comfort working in a collaborative, growth-focused environment. Enthusiasm for learning and applying new technologies. About DigitalOcean DigitalOcean builds simple, scalable cloud solutions for developers and businesses. Our teams value learning, teamwork, and making a real impact for customers worldwide.

We are seeking a highly skilled Senior Engineer to join our Inference Data Plane team at DigitalOcean. In this pivotal role, you will be responsible for designing and implementing advanced data processing solutions that facilitate machine learning inference at scale. You will work collaboratively with cross-functional teams to optimize our data infrastructure and ensure reliable performance.

DigitalOcean seeks a Senior Technical Account Manager in San Francisco to serve as the main technical contact for clients. This role centers on building strong client relationships and supporting customers as they navigate DigitalOcean’s cloud solutions. Role overview The Senior Technical Account Manager acts as the trusted point of contact for customers, helping them make the most of DigitalOcean’s products and services. Success in this position depends on a mix of technical understanding and a commitment to outstanding client service. What you will do Serve as the primary technical liaison for assigned customers Guide clients through the details of DigitalOcean’s cloud offerings Support client engagement and help address technical questions or challenges Work to ensure client satisfaction and long-term loyalty Key strengths Strong relationship-building skills Ability to communicate technical concepts clearly Focus on delivering excellent service to clients

At Point, we're redefining the banking landscape by transforming the everyday debit card into a gateway for rewards and benefits. Join our innovative team as we embark on this exciting journey!We are seeking a skilled Data Engineer to lead our data initiatives at Point. In this role, you will be responsible for designing and implementing robust data pipelines and systems that will support the development of cutting-edge algorithms and models. You will have full ownership of our data infrastructure while establishing the groundwork for data engineering practices at Point. Collaborating closely with both the engineering and data science teams, you will play a pivotal role in driving product initiatives and achieving our business objectives. This position reports directly to the CTO.Discover more about Point's vibrant culture and dedicated team here.

Join Our TeamAt Finix, we revolutionize payment processing, allowing businesses of all sizes to move and make money effortlessly. Our full-stack acquiring processor facilitates billions in transactions annually, offering modern, flexible payment solutions. Whether you’re in SaaS, e-commerce, or marketplace sectors, our no-code and low-code tools empower you to accept payments, manage payouts, and onboard merchants in just hours, not months.Having secured over $175M in funding, including a notable $75M Series C led by Acrew Capital, we have strong backing from prominent investors like Lightspeed Venture Partners and Sequoia Capital.Role OverviewAs a Senior Data Engineer, you will be a cornerstone of Finix’s data ecosystem. You will manage our reporting cluster, ensuring data integrity and crafting tools, frameworks, and pipelines that serve as the backbone of our operations. Your expertise will enable our teams to derive actionable insights from complex datasets, facilitating critical business decisions. Collaborating closely with operations, product, and analytics teams, you will ensure that the right data is available to drive timely decisions for both Finix and our customers.

Join Our TeamAt Unity Technologies, we are on a mission to create a powerful, near real-time reporting platform that is essential for analytics and decision-making across our expansive ecosystem. We are in search of a talented Data Engineer who will play a pivotal role in architecting and implementing distributed data systems that enable this platform to operate at scale.In this dynamic role, you will design and construct high-throughput, low-latency data processing pipelines that support reporting functionalities for both internal teams and external clients. You will work at the forefront of distributed systems, stream processing, and cloud-native infrastructure, ensuring the reliability, correctness, and scalability necessary for a high-volume production setting.This is an impactful position where your engineering excellence, architectural vision, and ownership of production will be highly valued.

Join Kiddom as a Senior Data Engineer and play a pivotal role in transforming the educational landscape through innovative technology. Our mission is to enhance learning experiences with an advanced curriculum, AI, and a robust SaaS infrastructure that empowers schools to provide personalized education at scale. Our platform delivers real-time insights and versatile tools that allow educators to prioritize student growth and equity effectively.At Kiddom, we don’t just create technology; we spearhead innovation in an industry ripe for change. Our dedicated team collaborates across engineering, design, research, and education to craft experiences that redefine possibilities for both learners and educators.If you excel in dynamic environments, cherish high-ownership cultures, and are passionate about merging human impact with cutting-edge technology, this is your opportunity to make a meaningful difference.Role Overview:As a Senior Data Engineer, you will be an integral part of our Data Architecture team, responsible for building and enhancing Kiddom’s data systems. You will focus on improving our core architecture for curriculum graphs and analytics while supporting various teams across the organization in utilizing the Kiddom data platform, ensuring student data privacy and security are paramount.Your role will involve close collaboration with departments such as Product, Engineering, and Analytics to understand their data requirements. You will define and document data workflows, pipelines, and transformation processes to ensure clarity and facilitate knowledge sharing.We seek a candidate with exceptional communication skills who can convey complex technical ideas to non-technical stakeholders. A solid understanding of PII compliance and best practices in data handling and storage is essential. If you possess strong problem-solving abilities and a talent for optimizing performance while ensuring data integrity and accuracy, we would love to hear from you!

WHO WE ARE Zeta Global (NYSE: ZETA) is an innovative AI-Powered Marketing Cloud that utilizes cutting-edge artificial intelligence (AI) and vast consumer signals to streamline the process for marketers aiming to efficiently acquire, nurture, and retain customers. Our Zeta Marketing Platform (ZMP) embodies our vision of simplifying sophisticated marketing by consolidating identity, intelligence, and omnichannel activation into one cohesive platform—driven by one of the industry's largest proprietary databases and AI technology. Our enterprise clients, spanning diverse verticals, gain the ability to personalize customer interactions on an individual level across all channels, ultimately enhancing the effectiveness of their marketing initiatives. Established in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City and has a global presence. To discover more, visit www.zetaglobal.com. The Role We are in search of a Senior Data Engineer to architect, develop, and manage the data pipelines and aggregates that fuel Zeta’s AdTech platform. This is a hands-on individual contributor position focused on high-scale batch and streaming data processing, delivering reliable data products and analytics-ready datasets that facilitate predictive analytics, agentic workflows, business intelligence reporting, and measurement. You will work in close collaboration with backend, machine learning, and product teams to provide trustworthy, well-structured data that exhibits exceptional performance, quality, and observability.

Join DigitalOcean as a Senior Solutions Architect II specializing in Kubernetes. In this pivotal role, you will leverage your expertise to design and implement innovative solutions that enhance our cloud platform. Collaborate with cross-functional teams to help our customers successfully navigate their cloud journey while optimizing their Kubernetes deployments.

Join our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.

Join Crusoe as a Senior Data Engineer, where you will play a critical role in enhancing our data infrastructure and analytics capabilities. You will be responsible for designing, developing, and maintaining robust data pipelines to support our cutting-edge applications.As a key member of our engineering team, you will work closely with data scientists and analysts to ensure that data is accessible, accurate, and actionable.

Role overview Chime’s Data Engineering team develops the systems that power data-driven decisions across the company. Senior Data Engineers play a key role in designing and implementing scalable data pipelines and frameworks, making sure analytics remain reliable and well-governed. This work supports teams across Chime as they build new capabilities and improve how data informs business choices. What you will do Build and maintain scalable data pipelines and frameworks to support analytics Create solutions that keep data accessible, accurate, and governed Design workflows for analytics and reporting used throughout the organization Help shape data engineering practices that can influence fintech standards Compensation and benefits The base salary for this Senior Data Engineer position ranges from $164,000 to $227,000. Full-time employees are also eligible for bonuses, equity options, and a comprehensive benefits package. Final salary depends on skills, qualifications, and experience.

About the OpportunityAs a Senior Data Engineer at Hinge Health, you will take the lead on developing and maintaining the data architecture that drives real-time experiences for our users. You will be responsible for constructing and optimizing data pipelines that aggregate data from numerous upstream services, including Kafka event streams and transactional databases, into a cohesive data platform that supports both real-time APIs and analytical tasks on Databricks. Your contributions will directly support AI-driven coaching assistants and physical therapy applications utilizing real-time member data, including engagement logs and clinical information, to provide tailored recommendations. This role places you at the crossroads of data engineering and artificial intelligence, constructing the dependable, low-latency data infrastructure essential for these systems.You will engage with a cutting-edge tech stack: employing Python, Flink, and PySpark for pipeline development, Kafka for event streaming, Delta Lake for scalable data storage, and Aurora PostgreSQL for operational data management.This role emphasizes high ownership. You will collaborate closely with application engineers, data scientists, and AI teams across the organization to define the data flow from its inception to its consumption. Furthermore, you will assist in establishing standards and practices that empower product teams to manage their own data in a HIPAA-compliant environment. If you are passionate about creating the data infrastructure that underpins AI systems impacting health outcomes, we encourage you to apply.Our technology stack includes: Python, SQL, dbt, Airflow, PostgreSQL, MySQL, REST, Aptible, Docker, Tonic.ai, Terraform, Spark, Kafka, Flink, Fivetran, Databricks, and AWS (S3, Lambda, Kinesis, RDS, Glue).Key ResponsibilitiesDesign and construct the data architecture for AI-enhanced health solutions - You will build and oversee data pipelines that cover both streaming and batch processes, from data ingestion to serving. This includes creating ingestion layers that pull data from Kafka event streams and transactional databases, executing transformations using Flink, Databricks, and dbt, and making informed decisions about the placement and purpose of transformations. You will manage pipelines across the entire stack: from raw ingestion to normalized staging, aggregated analytical models, and the serving layer relied upon by downstream consumers including real-time APIs, BI tools, and AI applications. You will establish data contracts, oversee schema evolution, and ensure the data you deliver is well-documented and reliable for others to utilize.Maintain platform reliability and data integrity - Define and monitor SLAs (Service Level Agreements) to ensure system performance and data quality.

At Forge Global, we recognize that our team is our most valuable asset. As pioneers in technology for the private market, we are committed to shaping a brighter future for all. We embody this vision through our core values of boldness, accountability, and humility. Each day, we witness the impact of our mission by supporting the teams behind groundbreaking innovations—from space exploration to artificial intelligence and beyond.With our comprehensive liquidity solutions, exclusive data insights, custody offerings, and a dynamic marketplace, Forge Global aims to establish a top-tier technology framework that facilitates a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through our platform, employees can liquidate their private shares, employers can offer pre-IPO liquidity to shareholders, and both individual and institutional investors can engage with the growth of private unicorns.Our unique global marketplace effectively meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, while fostering a robust network effect.Our capacity to provide these powerful financial solutions has sparked significant interest from investors and demand from clients, prompting us to expand our team to better serve the growing number of companies, teams, and innovators.

At Fastly, we empower individuals to forge deeper connections with the things they cherish. Our cutting-edge edge cloud platform enables clients to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. This platform is tailored to leverage the modern internet, is highly programmable, and supports agile software development methodologies. Our clientele includes renowned global brands, such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: March 13th, 2026Anticipated Posting Close Date*: May 30th, 2026*Job posting may close early due to the volume of applicants.Data EngineerAs part of Fastly's Analytics team, you will empower leaders across the organization with actionable data that drives essential business decisions. We are focused on expanding and enhancing our premier internal data platform. In your role as a Data Engineer, you will play a pivotal part in transforming our data infrastructure, optimizing data pipelines on Google Cloud Platform (GCP), scaling the ingestion of complex data sources, and adhering to best practices for performance and reliability. This is your chance to contribute to significant projects within a dynamic, collaborative, and innovative workspace, supporting data scientists, analysts, and business analysts across our organization.

About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare. Our innovative AI-driven platform is designed specifically for medical conversations, streamlining clinical documentation and allowing healthcare professionals to concentrate on what truly matters—their patients.Our enterprise-grade technology converts patient-clinician discussions into structured clinical notes in real-time, with robust EMR integrations. Leveraging our unique Linked Evidence and auditable AI, we provide the only solution that aligns AI-generated summaries with factual data, enabling providers to trust and verify outputs efficiently. As trailblazers in generative AI for healthcare, we are establishing industry benchmarks for the ethical integration of AI across health systems.We are a dynamic team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers committed to empowering individuals and making healthcare more intelligible. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and Pittsburgh's East Liberty.The RoleJoin our rapidly expanding US-based Data Engineering team as a Data Engineer and play a pivotal role in revolutionizing the medical field with our generative AI products. In this essential position, you will design and optimize large-scale data infrastructure to inform business strategies and drive machine learning research.What You’ll DoDevelop and sustain scalable data services, pipelines, and storage solutions for the ingestion of unstructured application data for machine learning training and evaluation.Create and oversee OLAP databases, ELTs, and general data tools to support analytics, business decision-making, and product features.Collaborate closely with frontend and backend engineers, product managers, and analysts.Enhance data infrastructure to improve system throughput, latency, and reliability.Identify and resolve issues detected through data operation monitors, tools, and reports.Design data integration solutions and establish a data quality framework.What You’ll Bring5+ years of experience in Data Engineering or Backend Engineering focused on data systems.Proficiency in at least one general-purpose programming language (e.g., Python, Java, Scala) and SQL (any variant).Experience with at least one modern cloud service provider (GCP, AWS, Azure, etc.).