Senior / Staff Software Engineer, Data Infrastructure

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.

Who We AreAt PathAI, we are dedicated to revolutionizing patient outcomes through the power of AI-driven pathology. Our commitment to advancing traditional pathology methodologies into innovative technologies is at the forefront of our mission. By leveraging these advancements, we aim to expedite drug development, enhance diagnostic accuracy, and deliver life-saving treatments to patients with urgency. Join our diverse and talented team, united in solving intricate challenges and making a substantial impact in healthcare.Where You FitWe are seeking a highly skilled Senior Staff Site Reliability Engineer who will play a pivotal role in designing, constructing, and managing our hybrid cloud and on-premises environment.What You’ll DoIn this role, you will harness your extensive skills and develop new ones as you:Elevate our operational practices by implementing Site Reliability Engineering (SRE) best practices focused on user satisfaction, monitoring, and automation.Engineer robust infrastructure patterns for our cloud environments using Amazon Web Services, emphasizing security, reliability, and scalability.Design, construct, and manage our data center to support our rapidly expanding Machine Learning team.Integrate on-premises datacenter environments with our existing cloud infrastructure to create a seamless hybrid cloud solution.Enhance the reliability and resilience of our infrastructure through thorough root-cause analysis and identifying design gaps.Engage in platform on-call rotations and provide assistance during critical incident responses.

The Data Center Operations Manager for Managed Services is pivotal in overseeing the daily operations and management of our U.S.-based data center environments, which support both internal systems and clients of InterSystems. This role is crucial for ensuring high availability, operational excellence, and adherence to compliance standards across third-party facilities while maintaining close collaboration with our internal infrastructure, platform, and application teams.The manager will lead the operations staff and vendor teams, manage relationships with colocation providers, and support cutting-edge infrastructure platforms, including software-defined storage, converged infrastructure, and containerized environments.Key ResponsibilitiesData Center OperationsOversee daily operations at multiple colocation data center facilities, acting as the primary contact for operational issues.Coordinate remote assistance, scheduled maintenance, and incident responses with colocation providers.Ensure the reliability and availability of power, cooling, space, network connectivity, and physical security.Lead incident management efforts and conduct root cause analyses (RCA) involving both internal teams and external providers.Maintain and enforce standard operating procedures (SOPs), runbooks, access protocols, and escalation paths.Infrastructure & Platform SupportSupport enterprise-level infrastructure platforms, including:Dell PowerFlex and other software-defined storage systems.Nutanix and VMware converged infrastructure.Kubernetes platforms (e.g., Spectro Cloud-managed environments).Collaborate with Systems, Platform, and Cloud teams to facilitate hardware lifecycle events, upgrades, and capacity expansions.Ensure operational readiness for containerized and virtualized workloads deployed in colocation facilities.Team LeadershipLead and develop the data center operations staff and contractors supporting colocation environments.Define staffing models, on-call rotations, and escalation coverage.Encourage operational discipline, enhance documentation quality, and promote continuous improvement.Vendor & Provider ManagementManage relationships with colocation providers, hardware vendors, network carriers, and service partners.Oversee service-level agreements (SLAs), maintenance coordination, access controls, and service delivery.Assist in contract reviews and renewals.

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.

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.

Join Our Team at Kalderos At Kalderos, we are dedicated to developing innovative technologies that foster transparency, trust, and equity across the healthcare landscape, with a particular emphasis on pharmaceutical pricing. Our true measure of success lies in empowering the healthcare community to prioritize improving the health of individuals. Our achievements are driven by our greatest asset—our people. We thrive on problem-solving, innovation, and the constructive feedback from our colleagues. We are passionate about our mission and are seeking like-minded individuals to join our dynamic team. We are currently in search of a collaborative Data Engineer II. You should be eager to work in a rapidly growing and evolving environment, possessing the skills and experience necessary to excel. Being familiar with the fast-paced and often unpredictable nature of operations will enable you to deliver meaningful results. This is a full-time, hybrid position that can be based in either Chicago, IL or Boston, MA. Please note that relocation assistance will not be provided. Expected Salary Range: $130,000 - $145,000 base salary + bonus

Join CGS as a Senior Data Specialist II, where your expertise in litigation discovery processes will be pivotal in supporting the EDRM workflow for a significant Federal agency initiative. At CGS, we unite driven, highly skilled, and innovative professionals to address the government's most pressing challenges using advanced technology. We are looking for individuals who are passionate about contributing to government innovation, thrive in collaborative environments, and possess the foresight to anticipate others' needs. Our workplace culture fosters support and encourages professional development through a variety of learning opportunities. Key Responsibilities:- Execute file manipulation, data loading, conversion services, database indexing, and quality assurance checks for data loads.- Design, assess, and refine methods for file manipulation compatible with COTS products and litigation support applications.- Ensure that incoming productions adhere to the relevant ESI specifications.- Conduct advanced tasks related to data export from contractor and client databases, including data identification for export, confirming redactions and other annotations, ensuring compliance with ESI specifications, and performing quality checks on exported data.- Assist client attorneys, investigators, and paralegals by managing incoming documents, processing subpoena returns, creating and maintaining document review databases, producing documents for opposing parties in litigation, and tracking document production.

Join usm2 as a Network Engineer II, where you will play a crucial role in designing, implementing, and maintaining our network infrastructure. You will collaborate with cross-functional teams to ensure network reliability and performance, while troubleshooting and resolving issues as they arise.

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.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

Role Overview Klaviyo is hiring a Software Engineer II focused on Analytics Data Engineering in Boston, MA. This position centers on building and maintaining data systems that support analytics across the company. What You Will Do Work with teams from different disciplines to design and implement data pipelines. Create scalable solutions that help drive data-informed decisions throughout Klaviyo. Use modern technologies to support analytics initiatives and improve data infrastructure.

Join our dynamic team at PA Consulting as a Senior Data Engineer, where you will leverage your expertise in data engineering to drive impactful projects. You will have the opportunity to work with cutting-edge technologies and collaborate with diverse teams to deliver innovative solutions that meet our clients’ data needs.As a Senior Data Engineer, you will design and implement scalable data architectures, optimize data pipelines, and ensure the integrity and accessibility of data across the organization. Your role will be pivotal in transforming raw data into actionable insights, thereby enhancing business decision-making.

Join our dynamic team as a Project Accounting and Support Coordinator specializing in Data Center Commissioning. In this role, you will be instrumental in ensuring accurate project accounting and providing essential support to our project teams, optimizing financial performance and efficiency.

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.

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 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.