Data Center Engineer Jobs

About the role As a Senior Compensation Partner, you'll play a vital role in aligning our compensation strategies with business goals. This position focuses on collaboration across departments to ensure our compensation programs not only attract and retain top talent but also drive performance and engagement. You’ll partner with leadership and People team members to create tailored solutions that meet our organizational needs while ensuring fairness and competitiveness in the market. In this role, you can expect to Strategic Collaboration: Work closely with leadership, managers and People Business Partners to understand business objectives and develop compensation strategies that support those goals. Market Insights: Conduct regular market analyses to inform compensation structures, ensuring we stay competitive while promoting internal equity.= Program Oversight: Lead the design and implementation of base salary, bonus, and incentive programs, ensuring they align with our overall talent strategy and business priorities. Data-Driven Decisions: Use data analytics to assess the effectiveness of compensation programs, preparing insights and recommendations for key stakeholders. Cross-Functional Support: Partner with Talent Acquisition and other departments to support recruitment efforts and ensure alignment on compensation offerings. Effective Communication: Develop materials to clearly communicate compensation programs to employees, helping them understand the full value of their compensation and benefits. To thrive in this role, you have Proven ability to collaborate with and influence stakeholders at all levels of the organization. Strong analytical skills and a data-driven approach to decision-making. Excellent communication skills, capable of conveying complex concepts clearly and engagingly. Ability to manage multiple projects in a fast-paced environment while meeting deadlines. #LI-Onsite #LI-BE1 Below is the base salary offered for this role and level of experie

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. We are seeking a highly motivated Software Development Engineer in Test (SDET) to join the Release Management Team. As a Software Development Engineer in Test on the Release Management team at Zoox, you will help accelerate our software release by ensuring that we are shipping the safest and most reliable software possible. As developers build new features, you will be responsible for developing Hardware-In-Loop tests to support our safety case. These efforts are critical to maintaining our code quality and ensuring our service capabilities are operating as intended. Your ability to understand the overall system design and component interaction to help guide test methodology for functional and safety sign-off is crucial to the overall success of Zoox. Accountability and integrity are core to our team. This role is coding-intensive, focused on building solutions for high-fidelity testing, scalable automation frameworks, and sophisticated data analysis tools to ensure successful compliance to requirements and mission success. In this role, you will: Lead the design, development and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) tests and testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication. Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites. Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metrics. Perform gap analyses between high-level safety requirements and technical test implementations, including the development of intricate timing and prioritization patterns. Lead end-

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We’re looking for product-focused iOS Engineers who love building reliable, intuitive, and beautiful experiences on mobile. We aren’t just developing an app; we’re building a mobile ecosystem from the ground up that integrates the consumers, merchants and drivers. This is a full-stack role where you’ll not only build complex apps but will also make impactful decisions on the product. You're excited about this opportunity because you will... Work within our product teams to build exciting features Improve our code base through continuous refactoring Solve challenging real-time data transfer and synchronization problems Extend and implement our APIs Implement unit tests Keep up-to-date with the industry standards of iOS development We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 5+ years of industry experience Expert at Swift, and iOS SDK Familiarity with networking, storage, and Cocoapods Systems and OOP knowledge Experience building, launching, and iterating on mobile apps Compensation Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees, that includes paid time off, paid parental leave, wellness benefit and s

About the Role DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We’re looking for Senior iOS Engineers who want to work on building an app that’s used by millions of people and critical to local entrepreneurs building their online presence. We’ve seen significant growth in our codebase and number of developers and we’d love for you to bring a piece of your culture and experiences into ours so that we can continue to improve our processes and architecture. Whether you’re an engineer interested in scaling our mobile infrastructure or building awesome product features, we’d love to talk to you! This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will… Work within our engineering teams to build exciting features Improve our code base through continuous refactoring Solve challenging real-time data transfer and synchronization problems Extend and implement our APIs Implement unit tests Keep up-to-date with the industry standards of iOS development We're excited about you because you have… 5+ years of industry experience B.S., M.S., or PhD. in Computer Science or equivalent Expert at Swift, and iOS SDK Familiarity with networking, storage, and Cocoapods Systems and OOP knowledge Experience building, launching, and iterating on mobile apps Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more i

About the Role DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We’re looking for Senior iOS Engineers who want to work on building an app that’s used by millions of people and critical to local entrepreneurs building their online presence. We’ve seen significant growth in our codebase and number of developers and we’d love for you to bring a piece of your culture and experiences into ours so that we can continue to improve our processes and architecture. Whether you’re an engineer interested in scaling our mobile infrastructure or building awesome product features, we’d love to talk to you! This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will… Work within our engineering teams to build exciting features Improve our code base through continuous refactoring Solve challenging real-time data transfer and synchronization problems Extend and implement our APIs Implement unit tests Keep up-to-date with the industry standards of iOS development We're excited about you because you have… 5+ years of industry experience B.S., M.S., or PhD. in Computer Science or equivalent Expert at Swift, and iOS SDK Familiarity with networking, storage, and Cocoapods Systems and OOP knowledge Experience building, launching, and iterating on mobile apps Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a motivated Technical Account Analyst to support our Technical Account Managers (TAMs) in delivering outstanding outcomes for our Logistics customers. In this role, you'll help execute the day-to-day work that keeps our customers successful, from preparing materials and tracking deliverables to running analysis that helps TAMs make informed, data-driven decisions. This is a great entry point into account management and customer success, where you'll build core skills in customer operations, data analysis, and cross-functional collaboration while working alongside experienced TAMs who own the overall account relationship. You Will Support TAMs across our largest logistics service provider accounts by managing specific workstreams and deliverables, rather than owning the end-to-end account relationship. Help execute onboarding tasks for new users, including scheduling trainings and tracking adoption milestones. Conduct analysis on customer usage data to help TAMs identify trends, risks, and opportunities. Prepare materials for customer calls and Quarterly Business Reviews, including pulling data and drafting talking points for TAM review. Coordinate with product and implementation engineering teams to track the status of customer deliverables and flag blockers. Own specific day-to-day tasks (check-ins, follow-ups, documentation) for a subset of accounts under TAM guidance. Capture and organize customer feedback, routing it to the appropriate TAM or product team member. Learn Altana's platform and product capabilities deeply enough to support customer-facing conversations alongside a TAM. About You 2-3 years of experience in account management, customer success, operations, or a related analytical role (logistics industry exposure a plus, b

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Staff Software Engineer – File Ingestion (Customer-Facing Services) Build the Future of the AI Data Cloud Snowflake’s File Ingestion team owns the core engines behind COPY INTO and Snowpipe — the primary arteries landing customer data into the AI Data Cloud at hundreds of petabytes per quarter. We are expanding our core mission to build next-generation, external-facing ingestion services that directly expose file-ingest capabilities to external platforms, partner ecosystems, and customer applications. As a Staff Software Engineer , you will lead the architectural vision and execution for these mission-critical, customer-facing services. You will operate at the intersection of high-throughput distributed systems, API platform design, and direct customer feature delivery, defining how enterprise data seamlessly flows into Snowflake at global scale. What You’ll Do Drive Technical Vision & Architecture: Define the multi-year architecture and technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP). Deliver Customer-Facing Innovations: Lead the end-to-end execution of enterprise-grade external features, ensuring low-latency data landing, high availability, and seamless ecosystem integration (e.g., S

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow. We develop storage services like our open-source Objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data. As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way. In this role you will Design and operate storage systems used across Sentry, including their configuration and performance tuning. Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in. Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow. Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt th

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow. We develop storage services like our open-source Objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data. As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way. In this role you will Design and operate storage systems used across Sentry, including their configuration and performance tuning. Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in. Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow. Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt th

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Software Engineers, Machine Learning to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role As a Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop advanced machine learning models to improve ads efficiency and quality. Design and build optimization algorithms for budget pacing and automated bidding to achieve various advertising goals. Establish a data-driven framework to understand how the bid density and market competitiveness would affect advertising value and platform revenue. Develop new data solutions (eg. embeddings and consumer profiles) to target the relevant audience. Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement. Build and extend the current data/ML infrastructure to empower Ads data applications including data analysis, ML modeling, and experimentati

MongoDB is seeking an executive public-sector leader to build the next phase of growth across Federal civilian and Defense. As General Manager, you’ll have significant autonomy to shape a more self-sufficient business by integrating Clarity’s federal engineering and modernization capabilities with MongoDB’s product and go-to-market teams, expanding our position in Defense, and establishing the partnerships, authorization strategy, talent, and operating discipline needed for sustained growth. MongoDB acquired Clarity Business Solutions to accelerate the modernization of government applications. Clarity is a federal-focused software and systems engineering firm with expertise in data analytics, data processing, and data flow. Its team combines technical delivery capabilities with experience navigating federal missions, procurement, and security requirements. You will shape how Clarity’s people and capabilities work alongside MongoDB by aligning strategy, customer engagement, delivery, and operating practices while preserving the specialized expertise federal customers rely on. MongoDB Atlas for Government’s achievement of FedRAMP Certified – Class D (formerly known as FedRAMP High) expands MongoDB’s ability to support high-impact government workloads, secure AI, and mission-critical modernization across cloud environments. This is an opportunity to build on customer trust and strong executive commitment, address significant unmet demand across government, and shape a business with the ambition and resources to become a meaningful growth engine for MongoDB. We are looking to speak to candidates who are based in Washington DC for our hybrid working model. What you will do Own the public-sector P&L, strategy, operating plan, and execution, with accountability for revenue, expenses, investment decisions, forecast quality, and overall performance. Establish executive-grade forecasting, pipeline inspection, P&L reviews, account and partner planning, talent reviews,

About the Role As a Senior Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams. We expect Senior Engineers to be able to own projects end-to-end and mentor their junior and mid level peers. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop advanced machine learning models to improve core parts of your teams scope. Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement. Work on creating novel ML & AI solutions that push both our business and the industry forward. Scale our systems and services to fuel the growth of our business. Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have... M.S., or PhD. in a technical field such as computer science, mathematics, statistics, physics or equivalent. 5+ years ML industry experience with a solid understanding of machine learning algorithms and fundamentals. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Experience building data/feature engineering pipelines at scale using Pyspark and Snowflak

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid). You’re excited about this opportunity because you will… Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space Partner with engineering and product leaders to help shape the product roadmap applying ML Mentor junior team members, and lead cross functional pods to create collective impact You can find out more on our ML blog here We’re excited about you because you have… 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring an

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The role: Multiverse’s mission is to equip the workforce to win in the AI era. Joining us means being part of a talented team, tackling the challenges of being in a scaling organisation solving complex problems, whilst contributing to our company and product growth. As a team, we always prioritise quality - you’ll hold the hiring bar whilst keeping pipeline moving when there’s commercial pressure to move fast. As a Talent Partner, you’ll be growing your experience as a trusted advisor to hiring managers, and own end-to-end recruitment for the roles you’re responsible for. You’ll show up prepared with market knowledge, using it to set realistic expectations on timelines, candidate availability and what the market will and won’t accept, and adjusting your approach when conditions change. You’ll use pipeline data to spot where a process is breaking down and fix it. You use AI to power your productivity, and focus your time on what AI can’t do: building strong stakeholder relat