Senior Engineer: Inference Data Plane

Join DigitalOcean as a Senior Engineer specializing in the Inference Data Plane. In this role, you will be at the forefront of developing and optimizing data-driven inference systems that power our cloud services. Collaborate with a talented team of engineers to innovate and enhance our platform, ensuring high performance and reliability for our users.

As a Senior Engineer II in the Inference Data Plane team, you will play a crucial role in developing and optimizing our data processing systems. You will be responsible for designing, implementing, and scaling the infrastructure that supports inference processes, ensuring reliability and performance. Join us in revolutionizing the cloud infrastructure landscape by building innovative solutions that empower developers worldwide.

Join our dynamic team at DigitalOcean as a Senior Engineer 2 specializing in Inference Optimizations. In this role, you will leverage your extensive engineering skills to enhance our inference systems, ensuring optimal performance and efficiency. You will collaborate with cross-functional teams to implement innovative solutions that drive our mission of simplifying cloud infrastructure.

At Upbound, we are revolutionizing modern infrastructure for the Agentic AI Era. As the creators and leading maintainers of Crossplane, we are developing the Intelligent Control Plane—a novel platform layer designed to render infrastructure programmable, autonomous, and composable.Our mission is to empower AI-native enterprises with a foundational platform layer that enables teams to provision, operate, and adapt infrastructure at scale, ensuring readiness for both human and AI agents. We collaborate with premier cloud providers, independent software vendors (ISVs), and open-source communities to empower organizations to move swiftly and confidently.Currently, Upbound supports Fortune 500 companies and platform engineers across more than 100 countries. Crossplane has exceeded 100M+ downloads and is utilized by over 1,000 teams globally. We are a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, having raised $69M to date. Discover more at upbound.io.We are seeking a Senior Software Engineer to join our team in building and operating Upbound Spaces, the comprehensive control plane management software that lies at the core of the Upbound Platform. In this pivotal role, you will help scale Upbound to efficiently support thousands of control planes while enhancing enterprise control plane management and operations both in the cloud and on-premises. This is an ideal opportunity for you to make a substantial engineering impact in both development and production operations.

ezCater stands at the forefront of the food for work technology sector in the United States, seamlessly connecting businesses in need of workplace catering with a vast network of over 100,000 restaurants nationwide. Our innovative platform delivers flexible and scalable solutions, catering to everything from regular employee meals to special one-off events, all supported by our dedicated 24/7 customer service team. Additionally, we empower companies to efficiently manage their food budgets through a single, customizable platform. For our restaurant partners, ezCater drives growth by increasing their order volume and attracting high-value customers. We are proud to be backed by prominent investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.Are you enthusiastic about harnessing the power of data? Are you ready to influence a rapidly expanding two-sided marketplace through data-driven insights? Do you have innovative ideas on how to empower data scientists within a billion-dollar organization to optimize workforce planning or predict real-time customer lifetime value? If so, we want to connect with you!The Data Technology team at ezCater is on an exciting growth trajectory! As we prepare for the future, data will remain a core strategic asset across the company—encompassing everything from advanced machine learning to business intelligence and data governance. Data is poised to be our key differentiator, driving significant impact within the $100 billion catering industry.We are looking for a Senior Data Engineer to join our dynamic team and tackle complex data and platform challenges that will help accelerate our business growth. The ideal candidate is a data aficionado who champions best practices in systems and architecture, and is dedicated to creating robust infrastructure that underpins accurate and efficient data. You will collaborate directly with executive stakeholders as we embark on an organization-wide data modeling initiative, making adaptability and the ability to translate business needs into technical solutions essential.

Who We AreAt CarGurus (NASDAQ: CARG), we empower individuals to navigate their automotive journey with confidence. What began as a small group of dedicated developers focused on enhancing trust and transparency in car shopping has transformed into the largest and fastest-growing automotive marketplace, achieving profitability for over 15 years.What We DoThe automotive landscape is rapidly changing, and so are we. We are committed to moving the entire car buying experience online, assisting our customers through every phase, from selling an old vehicle to financing, purchasing, and delivering a new one. Our platform attracts tens of millions of visitors each month, and approximately 30,000 dealerships utilize our innovative solutions. Our employees thrive in a culture that prioritizes kindness, collaboration, and innovation—equipping our Gurus with the resources they need for career advancement. Join us in disrupting a trillion-dollar industry!Role OverviewCar shopping can be a daunting task. At CarGurus, we leverage data and technology to simplify this process, providing individuals with the tools necessary to find, buy, finance, or sell a car with ease. Our impact is substantial as we are the most-visited car shopping site in the U.S. and are rapidly expanding our reach internationally. Ready to embark on this journey with us?The Data Engineering team is seeking a Senior Manager of Analytics Engineering to facilitate data-driven decision-making across the organization. You will oversee the development of scalable and high-performance data models that support reporting solutions for various stakeholders, including Product Management, Marketing, and Finance. We are in search of a collaborative leader who can actively influence our corporate analytics strategy as we grow and evolve.

Veeva Systems, a trailblazer in the industry cloud space, is dedicated to expediting the delivery of therapies to patients in the life sciences sector. With a remarkable ascent as one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue last fiscal year, with promising growth opportunities on the horizon.At Veeva, we embody core values that guide our mission: Doing the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), reinforcing our commitment to balancing the needs of customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to choose your work environment, whether at home or in the office, enabling you to excel in your ideal setting.Join us in transforming the life sciences industry and making a meaningful impact on our customers, employees, and communities.

Mission: We are in search of a talented and driven Senior Data Engineering Analyst to join our innovative team focused on large-scale AI model evaluation through our platform, Ground Truth Regression. The ideal candidate will possess a solid foundation in data engineering, machine learning principles, and statistical analysis. At Motional, the orchestration of extensive data analysis is crucial for advancing our machine learning-driven autonomous driving technology. Our robo-taxi ML models and software are developed by a dedicated team of engineers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework to validate any changes that could influence the behavior of autonomous vehicles. The Ground Truth Regression team assesses the cumulative effects of ML and software modifications during the development phase, equipping the team with tools for root cause analysis and safety evaluations. We meticulously monitor model errors, anomalies, and rare occurrences across extensive driving scenarios, gathering insights over thousands of driving hours. The team is responsible for developing the full-stack infrastructure, including AWS Kubernetes orchestration, re-simulation, model metrics, regression reports, and deep-dive analytical tools. Collaboration with other perception and ML teams is integral for establishing metrics and analyzing outcomes. What You’ll Do: Collaborate with ML Engineers and Autonomy Software Developers to create new data analysis metrics and KPIs for validating autonomous vehicle performance. Pursue innovation by researching and developing new large-scale data analysis frameworks. Lead large-scale data analysis workflows to identify unexpected impacts of both planned and unplanned modifications to ML models and software. Construct high-quality datasets to enhance ML product performance through training and edge case validation. Deliver in-depth statistical insights on model performance and generalization through thorough error and change analysis. What We’re Looking For: Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Proficient programming skills in Python, SciPy, and related data analysis frameworks. Experience in machine learning, data mining, and statistical analysis. Familiarity with large-scale data processing and distributed computing technologies. Strong communication and software development skills, including goal setting, design documentation, testing frameworks, and collaborative team development.

At Veeva Systems, we are on a mission to revolutionize the life sciences industry by accelerating the process of bringing therapies to patients. As a trailblazer in the industry cloud space, we have achieved remarkable success, surpassing $2 billion in revenue last year with a promising trajectory ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide every decision we make. In 2021, we proudly became a public benefit corporation, reinforcing our commitment to balance the interests of all stakeholders, including customers, employees, and society.As a Work Anywhere company, we embrace flexibility, allowing you to choose your work environment—whether remote or in-office—so you can thrive in the way that suits you best.Become part of our journey to transform the life sciences sector and make a positive impact on the communities we serve.

Join DigitalOcean as a Senior Data Center Engineer II, where you will play a crucial role in maintaining and optimizing our data center operations. This position offers the opportunity to work on challenging projects that impact our global infrastructure, ensuring reliability and efficiency.

Mission Summary The AI Data Foundry serves as the critical bridge linking our extensive data resources with the engineering teams that depend on them. We design and manage the essential services and infrastructure required to convert petabytes of raw data monthly into actionable insights for our Machine Learning and Autonomy engineers. This position is pivotal in driving our core initiatives: Data Processing: We are developing cutting-edge infrastructure to accommodate the demands of our rapidly expanding fleet and advanced ML engineering needs. Your responsibility will be to ensure that our core data pipelines are robustly engineered—performant, user-friendly, and highly fault-tolerant. Data Discovery: We are creating a platform that integrates data cataloging for search capabilities across our metadata stores, vector datastores, and various data warehouses to enhance our ML pipelines. You will collaborate with ML and autonomy stakeholders to develop this new discovery platform. Data Lineage: We are initiating the construction of our data lineage system to track data usage at Motional. You will partner with our stakeholders to ensure the widespread adoption of our system and address user pain points. What You'll Be Doing Playing a key role in designing and building the next generation of data infrastructure. Building scalable backend services for data discovery and data lineage systems. Writing high-quality, maintainable code to process petabytes of data. Leading and advocating for high-level system design and conducting quality code reviews and technical contributions. Designing, building, and maintaining scalable data processing and access using cloud ETL technologies.

Join Our Team at SimpliSafeAt SimpliSafe, we are dedicated to enhancing home security through innovative technology. Our mission is to ensure that every home is secure by providing comprehensive, always-on systems that encompass devices, professional monitoring, logistical support, and exceptional customer service. The high volume of event-driven data we generate is fundamental to our operations, enabling us to scale reliably and efficiently while adhering to service-level agreements.As we embark on an exciting growth phase, we are investing in a state-of-the-art, cloud-native data platform that positions data as a vital enterprise asset. This is your opportunity to help define and construct the data backbone of a dynamic organization from the ground up.We embrace a hybrid work model, allowing our teams to balance their time between our modern office and remote work. We expect team members to collaborate in person on two key days of the week, typically Tuesday, Wednesday, or Thursday, while enjoying the flexibility to work from home the rest of the time.

Join our dynamic team at DigitalOcean as a Senior Data Center Engineer II, where you will play a critical role in managing and optimizing our infrastructure. Your expertise will ensure the highest level of performance and reliability, driving our mission to simplify cloud computing.As a key member of our engineering team, you will be responsible for designing, implementing, and maintaining scalable data center solutions. Your proactive approach will help us innovate and improve our systems continuously.

Stage is looking for an Infrastructure Data Engineer to join the team in Boston, MA. This position centers on building and maintaining the systems that move and organize data, making analytics and business intelligence possible across the company. Role overview The Infrastructure Data Engineer will design, implement, and support scalable data infrastructure. The work ensures that business needs are met as the company grows, and that analytics teams have reliable data to inform decisions. What you will do Design and implement data infrastructure to meet evolving business requirements Build and maintain data pipelines used for analytics and reporting Support business intelligence by ensuring data systems are reliable and accessible Requirements Stage is seeking candidates who have a strong interest in data engineering and are motivated to make a real impact on team and company goals.

Role overview Stage seeks a Governance Data Engineer based in Boston, MA. The position centers on upholding the integrity and security of company data systems. Close collaboration with teams across the organization is a key part of the role, especially when developing and implementing data governance frameworks. What you will do Work with cross-functional teams to establish and maintain data governance processes Design frameworks that reinforce data integrity and safeguard sensitive information Support company efforts to comply with relevant industry standards and regulations

Stage is hiring a Reinsurance Data Engineer based in Boston, MA. This role centers on using data to strengthen reinsurance operations. The position involves working with others to address complex problems and help drive decisions with data. Key responsibilities Build and maintain data solutions that support reinsurance workflows Work with colleagues from different departments to solve technical issues Help transform raw data into useful insights for the business Requirements Background in data engineering concepts and tools Interest in reinsurance or insurance-related data Ability to work well in a collaborative, problem-solving setting

Join CGS Federal as a Data Engineer!Employment Type: Full-Time, Mid-LevelDepartment: Business Intelligence We are on the lookout for a dedicated and innovative Data Engineer to enhance our rapidly expanding Data Analytics and Business Intelligence platform. In this role, you will provide pivotal solutions that empower our federal clients by transforming data into actionable insights. The ideal candidate is a critical thinker, an avid learner, and eager to broaden their expertise across various technologies while tackling complex challenges. At CGS, we unite motivated, skilled, and creative individuals to address the government's most pressing issues using advanced technology. We seek candidates who are enthusiastic about government innovation, value collaboration, and are proactive in anticipating the needs of our clients. Our supportive environment fosters professional growth through numerous learning opportunities. Key Responsibilities:- Develop and manage data pipelines to effectively store, manage, and provision data for consumers.- Actively participate in an Agile/Scrum team while adhering to best practices.- Write efficient code to ensure the reliability and performance of data extraction and processing.- Facilitate continuous automation processes for data ingestion.- Uphold technical excellence by applying lean-agile engineering principles, including API-first design, simplified design, continuous integration, version control, and automated testing.- Collaborate with program management and engineers to implement and document complex and evolving requirements.- Foster a culture of excellence in customer service, innovation, collaboration, and teamwork.- Work alongside a diverse cross-functional team, including user experience researchers, designers, product managers, engineers, and functional specialists.

Data Solutions Engineer AcuityMD is an innovative software and data platform dedicated to enhancing access to cutting-edge medical technologies. Each year, the FDA greenlights approximately 6,000 new medical devices, and our platform enables MedTech companies to deliver these products to physicians more efficiently, ultimately improving patient care through advanced technology. Supported by notable investors such as Benchmark, Redpoint, and Ajax Health, we empower MedTech firms to gain insights into product usage, understand variations in outcomes, and identify opportunities for physicians to enhance patient service. We are seeking a passionate Data Solutions Engineer who will be instrumental in articulating and advocating for the AcuityMD data approach, showcasing how it drives business success for our MedTech clients. This role is customer-facing, allowing you to build strong relationships throughout the customer journey, from pre-sales to post-sales interactions. You will assist prospects in overcoming data challenges during the sales process while helping our customers visualize the value AcuityMD brings to their teams.

About KKR & Co. Inc. KKR & Co. Inc. is a global investment firm with expertise in alternative asset management, capital markets, and insurance solutions. The firm manages funds in private equity, credit, and real assets, and works with partners who oversee hedge funds. KKR’s insurance subsidiaries, including Global Atlantic Financial Group, provide retirement, life, and reinsurance solutions. The company emphasizes disciplined investing and long-term growth for its portfolio companies and communities. Team: ADAPT Engineering The ADAPT (AI, Data, and Platform Technologies) Engineering team shapes KKR’s core data and AI capabilities. This group designs and supports the firm’s foundational data architecture, building platform-based solutions that drive agility and measurable business results. Their work supports KKR’s global scale and ongoing business transformation. Role Overview: Lead Data Engineer - Data Platform Based in Boston, MA, the Lead Data Engineer joins the core ADAPT Engineering team in a hands-on capacity. This position calls for deep experience in modern data engineering, especially with large-scale financial datasets. The role focuses on designing and implementing advanced data engineering solutions that streamline complex data pipelines, apply AI-driven insights, and enable smooth integration across cloud-based databases. This engineer will define and optimize the technical architecture for KKR’s data structuring, storage, and usage, ensuring high standards for data integrity, performance, and accessibility across the firm. Main Responsibilities Set and lead the enterprise strategy and target-state architecture for Data Explorer, enabling scalable, governed, and user-friendly data discovery, access, sharing, and reuse throughout KKR. Develop the long-term vision, design principles, and adoption framework for enterprise data exchange capabilities, covering metadata, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption. Act as the senior technical authority for data analyst agents, guiding the development of agentic capabilities.

At WHOOP, our mission is to revolutionize human performance by providing unparalleled insights into our members' bodies and daily lives. We empower individuals to reach their peak potential through data-driven understanding.We are actively seeking a talented and innovative Data Engineer II to join our dynamic team in Boston, MA. In this pivotal role, you will take charge of designing, constructing, and optimizing scalable data pipelines and platforms that facilitate our data-driven insights. Your contributions will be essential in shaping robust ELT architectures, enhancing system reliability and performance, and guiding the technical vision of our data platform. With a strong emphasis on modern AWS infrastructure and tools such as Snowflake, DBT, Kafka, and Spark, you will play a critical role in amplifying our analytical and operational capabilities. If you are passionate about harnessing AI to bolster developer productivity and drive meaningful outcomes, we invite you to be part of our journey.