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Cloud Partner Solutions Engineer Jobs

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Explore current cloud partner solutions engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Présentation du poste : Au sein de l'équipe Data Science d'Artefact, vous rejoignez une communauté d'experts en Data & IA intervenant auprès de grands comptes mondiaux. Dans un contexte de forte accélération autour de la GenAI et du Machine Learning, vous jouez un rôle clé dans la conception, la livraison et le passage à l'échelle de solutions IA à fort impact business. Ce qu’on attend de vous : En tant que profil Senior, vous garantissez l'excellence technique sur vos projets (robustesse, MLOps, passage en production) tout en servant de référent auprès de nos clients. Vous jouez un rôle moteur dans l'équipe en mentorant des Data Scientists plus juniors et en participant au développement d'accélérateurs internes. Vos missions : Piloter la livraison de projets IA de bout en bout : du cadrage des cas d'usage avec les équipes métier jusqu'à la mise en production de solutions ML ou GenAI mesurables. Concevoir des architectures et pipelines IA robustes et scalables en appliquant les meilleures pratiques de Software Engineering et de MLOps (tests, déploiement, maintenabilité). Servir de conseiller de confiance auprès des clients : vulgariser les approches IA de façon claire et pragmatique, évaluer la faisabilité, les risques et le ROI. Mentorer et faire monter en compétences les Data Scientists juniors à travers des retours constructifs, des revues de code et du coaching au quotidien. Contribuer au développement de l'expertise interne : créer des outils/accélérateurs réutilisables, animer des ateliers de partage et maintenir une veille technologique active. Explorer et appliquer des techniques IA avancées pour résoudre des problématiques complexes et non défrichées. Profil recherché : Expérience & Mindset : 3 ans ou plus d'expérience concrète dans le développement et le déploiement de solutions Data/IA en environnement Cloud. Expertise Technique : Solides compétences en Machine Learning appliqué, IA Générative, ainsi qu'une maîtrise des principes de Software Engin

machine learningHR
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Secureframe
📍 New York• Full-time• Remote• $150K – $200K/yr
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At Secureframe , we’re building the next generation of cybersecurity and compliance software. Thousands of organizations use our platform to strengthen security, automate compliance, and earn trust. We’re backed by leading investors including Kleiner Perkins, Accomplice, Gradient Ventures, BoxGroup, and Village Global. Our Defense AI business is experiencing record growth as organizations across the Defense Industrial Base look for a faster, more practical way to meet CMMC requirements. Secureframe Defense AI combines secure infrastructure, AI-guided CMMC workflows, automated documentation, continuous control monitoring, real-time readiness insights, and expert support in one platform. It gives sellers a differentiated story: help customers secure CUI, accelerate CMMC readiness, and reduce the cost and complexity of operating a compliant environment. Alongside Defense AI, our GRC products help companies achieve and maintain frameworks such as SOC 2, ISO 27001, HIPAA, PCI DSS, and more. About the role As an SMB Account Executive for Defense AI & GRC, you’ll own a fast-moving, full-cycle sales motion across small-business customers. You’ll lead with one of Secureframe’s most strategic product stories—using AI, automation, and secure infrastructure to help defense contractors protect CUI and get CMMC ready—while also selling our broader GRC platform. You’ll connect customer needs to the right solution and move from discovery to a clear decision with urgency and care. This is a velocity role. You’ll build the operating rhythm to close approximately 30–50 deals per quarter across repeatable Defense AI and GRC motions, while also recognizing and developing larger opportunities that can grow into six-figure contracts. Success requires disciplined prospecting, excellent discovery, concise product storytelling, and clean execution across a large number of active opportunities. You do not need to arrive as a CMMC or Microsoft cloud expert. Experience selling to defense co

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Capco
📍 New York• $198K – $248K/yr
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Managing Principal, Cybersecurity & AI Location: New York (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Lead the future of Cybersecurity and AI in Financial Services The Role Joining Capco means joining an organization that is committed to an inclusive working environment where you are encouraged to #BeYourselfAtWork. Capco Cybersecurity is a multi-faceted team focused on evaluating, defining, and delivering risk-aware solutions for leading financial services organizations. We are seeking a Managing Principal in the New York Metro area to help scale our Cybersecurity practice at a pivotal stage of growth. This role blends senior leadership responsibilities—driving business development, leading delivery, and developing teams—with a mandate to shape and lead our Cyber + AI offering. You will work closely with senior stakeholders to build market propositions, develop pipelines, deliver impactful programs, and grow a high-performing team. What You’ll Do Define and scale a Cyber AI strategy aligned with market demand and business priorities Develop offerings including accelerators, playbooks, and reference architectures Lead complex cybersecurity and AI-enabled security engagements end-to-end Build and grow client relationships, acting as a trusted advisor to senior stakeholders Lead business development activities including pipeline creation, proposals, and deal closure What We’re Looking For 12+ years’ experience in cybersecurity, information security, or technology risk Ability to be onsite in New York City 3 days per week Experience within a management or technology consulting environment Strong track record delivering complex cybersecurity programs Experience with AI security, GenAI governance, or AI-enabled security operations Ability to communicate technical concepts clearly to diverse audiences Bonus Points For Knowledge of frameworks such as NIST, ISO, or FFIEC Experience across domains such as cloud security, IAM, or resilience Re

artificial intelligenceairecruitment
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Box
📍 New York• $89K – $110K/yr
Just now

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHAT YOU'LL DO Box is growing fast. Real fast. Every business in the world is looking to modernize the way that they work. As the leader in cloud content management, Box has what it takes to enable enterprises to transform how people work together. We engage directly with the largest and most complex enterprises in the world. These enterprises are looking to Box and our technology to transform their business. For these enterprises to be successful, they rely on who can advise them throughout the transformation. WHO YOU ARE You are a customer advocate and are motivated by helping others succeed. You listen well, ask questions, and translate business needs into something that you can execute against. You build trusting rel

machine learningai
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Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a Staff Software Engineer on the team, you will shape Verkada's internal access management architecture, define technical strategy, and build the infrastructure used to provision, review, and audit access across the company. From evolving our in-house access platform to setting guardrails for AI-driven and agentic workflows, your technical leadership will directly impact every team at Verkada. What You'll Do Own the technical architecture of Verkada's internal access management platform, the system of record for employee, service, and non-human access across company resources. Design, build, and operate highly available, observable backend infrastructure for access provisioning and review, using modern backend languages and cloud-native tooling. Extend and harden integrations with identity providers (e.g. Okta) — custom roles, en

awskubernetesai
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Verkada
📍 San Mateo• $130K – $300K/yr
Just now

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada is the leading cloud-managed physical security platform, uniting hardware, software, and AI to deliver enterprise-scale security and insights. At the core of our mission is video—powering everything from real-time monitoring to historical playback for tens of thousands of organizations worldwide. The Streaming team owns the full-stack infrastructure powering the video experience for over 1.4M Verkada cameras. We take on complex streaming challenges to deliver live and recorded video with unmatched speed, reliability, and security. By continually advancing our technology, we ensure that every frame—whether live or months old—is always available instantly, seamlessly, and securely. As a Backend Engineer (Video Streaming) , your work will directly shape how millions of people rely on video every day to stay safe. You’ll design

pythonawsdocker
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Just now

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada is looking for Technical Support Engineers to support our growing base of enterprise customers. As a member of our Technical Support Engineering team, you will support the entire suite of Verkada cloud-managed building security products. Working independently and collaboratively, you will solve technical issues and advise customers on our platform. Responsibilities include troubleshooting complex customer environments, educating customers on system installation and configuration, collaborating with Engineers to identify and resolve bugs, providing crucial feedback to Product Management to drive product improvement, and creating knowledge base articles. Our team is the bridge between customers, Engineering, and Product Management. This role will report to one of our Technical Support Engineering Managers and is based o

pythonlinuxai
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Just now

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are looking for a driven Associate Solutions Engineering Program Leader to lead and mentor a team of Associate Solutions Engineers (ASEs) through their technical training journey. This role is ideal for someone with a passion for technical education, program management, and a keen ability to foster career growth in others. As an Associate Solutions Engineering Program Director, you’ll oversee the development and execution of training programs designed to equip ASEs with hands-on experience in technical domains like computer networking, cloud architecture, and physical security. You'll manage the progress of ASEs through their training, ensuring they gain valuable skills and experiences necessary for success in building technical solutions. You’ll also work closely with seasoned Solutions Engineers to ensure mentorship and guidanc

ailogisticswarehouse
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The Best Players Need the Best People. Responsible for owning the end-to-end vision, strategy, and development of ShotLink applications, the TOUR’s proprietary scoring system, and other products to score golf and effectively track PGA TOUR events. This position is part of a team responsible for designing, developing, and managing scoring and tracking golf with real time data and statistical analysis across all PGA TOUR events. QUALIFICATIONS Bachelor’s degree in business, Computer Science, or Engineering, Information Systems, or adjacent degree and relevant work experience. 10 years related experience required in Product Management or Product Development, consumer digital products experience required. Strong understanding of agile practices including backlog management and prior experience working with Project Management; deep prior experience managing and directing vendor relationships Knowledge of UX / UI and consumer research best practices as it relates to successful product development Knowledge of camera tracking, LiDAR, GPS, RTK technologies preferred Ability to use script languages a plus Understanding cloud-based architecture required Extensive golf knowl

project management
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Freddiemac
📍 United States• From $32/hr
Just now

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Want to create technology that matters while building your future and your professional network? If you’re getting your degree in Computer Science or a related technology area and looking to get hands-on, skill-building experience with a leader in the financial technology industry, Freddie Mac’s Technology Summer Internship program is for you! Through this internship, you’ll build on the knowledge and skills you’ve acquired in your undergraduate education – while getting real-world technology and innovation experience and making lifelong connections. Upon successful completion of the internship and your undergrad degree, you may be extended an opportunity to join our Technology Analyst Program – a 12-month cohort experience that springboards you into a fulltime technology career with the industry leader in the housing/finance industry! Our Impact Enterprise Operations + Technology (EO+T) helps run and transform Freddie Mac’s business — from building applications and modernizing cloud and data platforms to protecting systems from cyberthreats and keeping critical operations resilient. As an intern, you can contribute to work that improves how we serve customers and help make home possible for millions of families. We are accepting applications for this position until 10/16/2026 Your Impact As an intern, you will support exciting projects, including: Software Development/Application Support Participate on project teams to develop innovative, high-quality software solutions in an Agile development environment Help d

pythonjavaai
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We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 5+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or

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We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing. What you'll be doing: Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems. Collaborate with business and IT teams to translate business requirements into AI-driven solutions. Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation. Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization. Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support. What we need to see: Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field. 6+ years of software engineering experience with strong proficiency in Python and backend application development. Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development. Experience integrating enterprise applications and building scalable, production-ready software solutions. Strong analytical, problem-solving, communicatio

pythonazureai
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each bringing together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We're searching for a highly technical, motivated manager to lead & manage the team responsible for rack-scale system software architecture. From firmware, kernel drivers, operating systems, networking, fabrics and associated user mode drivers + manageability software. You will work with component leads internally and engage with industry leading hyperscalar / cloud service providers on taking these products to market. What you’ll be doing: Drive the software end-to-end architecture for NVIDIA's rack-scale products Maintain deep understanding of the product portfolio and roadmap; translate forward-looking plans into clear, formal software requirements that anchor execution across the organization. Ensure high quality & reliable

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads. What you will be doing: Design and execute comprehensive performance benchmarking strategies for our data center platforms and products Characterize real-world AI training, inference, and HPC workloads at scale Define, track, and report key performance indicators (throughput, latency, efficiency, scaling) Build automation tools and frameworks for performance monitoring and analysis Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems Work closely with architecture, hardware,

pythondockerkubernetes
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Just now

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each bringing together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We’re searching for a highly motivated, technical leader to design, drive, and operationalize rack-scale factory and deployment flows for next-generation data center products. The ideal candidate will combine deep systems expertise, decisive technical leadership, and a passion for building reliable, debuggable, and scalable manufacturing and deployment solutions. What you’ll be doing: Lead and drive rack-scale/L11 flows for factory and initial data center deployment. Design and implement end-to-end factory workflows, including firmware flashing sequences, security provisioning, and deployment of software mitigations. Collaborate with data center architects, ODMs, and OEMs to define factory and data center requirements that ensure efficient and reliable production ramp. Champion reliability, debuggability an

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