Cloud Partner Solutions Engineer Jobs

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2027 full-time start date Demonstrate strong computer science fundamentals, including data str

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Expected to graduate in 2027 with a degree in Computer Science, Software Engineering, or a related technical field from a university in Spain Demonstrate strong computer science fundamentals, including data structures, algorithms, and software

Founded in 1972, Atari is one of the world’s most iconic consumer brands and a pioneer in the video game industry, recognized worldwide for its multi-platform games and licensed products. Atari owns and/or manages a portfolio of more than 400 games and franchises, including globally recognized brands such as Asteroids®, Centipede®, Missile Command®, Pong®, and RollerCoaster Tycoon®. The Atari family of brands includes Digital Eclipse, Nightdive Studios, Infogrames, AtariAge, MobyGames, as well as Coatsink, Early Morning Studios, and Stormteller Games—spanning game development, publishing, and community experiences worldwide. Today, Atari Inc. continues to build on its legacy by developing games, hardware, and experiences that honor the past while driving innovation for the future. Over the past two years, we've been building Atari India, a growing team that plays a critical role in supporting our global operations. We're proud of the team we've assembled so far, and we’re just getting started. As part of a lean, high-impact organization, the team in India works closely with colleagues in North America and Europe on projects that move the company forward. Whether you're helping launch a new game, keeping our infrastructure secure, or supporting day-to-day operations, your work here matters. Join us as we continue to grow Atari India and build the future of a legendary brand. Position: Infrastructure Automation Engineer Experience: 5-8 years Location: Netaji Subhash Place, Pitampura, Delhi Employment Type: Full-Time Work Timings: 9AM - 6PM IST Reports to: Manager, Infrastructure Overview We are looking for a hands-on Infrastructure Automation Engineer to reduce manual infrastructure work and build reliable, secure and repeatable processes across Atari’s on-premises and cloud environments. The immediate focus will be access management automation, Infrastructure as Code, virtual machine and compute provisioning, and practical operational automation. This is

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Be Micron, Be the World. 美光看見你的未來！ 面對 AI 時代浪潮的加速來臨，美光站在科技最前線推動這場轉變，我們致力於打造支援人工智慧運算與創新應用的核心技術的同時也積極尋找優秀人才，無論性別、國籍或科系，邀請你一同發揮創新力量，讓我們發掘你的無限潛能。台灣美光提供多元文化的工作環境給想要接軌國際舞台的你，歡迎加入美光，為自己的職涯開創無限可能。 ★ 美光校園徵才 - 有機會獲得美光Offer的加速管道：越早投遞，機會越大！ ★立即點選連結手刀投遞履歷！完成應徵即有機會在9/30(三), 10/13(二)~10/15(四), 10/20(二)~10/22(四) 優先獲得線上面試的機會! https://micron.az1.qualtrics.com/jfe/form/SV_24dLLCdOwY8eyY6 🚀 想更深入了解 Micron、熱門職缺與半導體職涯發展？ 歡迎報名 9/30（三）12:00–13:30 Micron LINK⁺ 線上中文說明會 ，與招募團隊及現職工程師交流，掌握職缺資訊、面試準備重點與職涯發展機會！ 👉 立即報名 （報名至 9/27（日）23:59，成功報名者將於 9/29（二）中午前收到 Zoom 連結） 🔗 【Micron LINK⁺ 9/30(三) 線上說明會】美好未來，光速啟程 – Fill out form ★ 校園招募對象： 1. 大學/研究所畢業兩年內或2026-2027 應屆畢業生 2. 工作經驗兩年內的學長姐也非常歡迎哦! ★ 校園招募職類： 製程工程、設備工程、品質工程、軟體工程、智慧製造、廠務工程、工業工程、產品工程、產品工程測試職類等。更多職缺請搜尋 tw.micron.com/careers ★ 應徵準備資料： 中/英文履歷，如有相關作品歡迎列入履歷中或另附專案簡報(1-2頁) ★ 工作地點： 苗栗縣銅鑼鄉銅科七路8號 (苗栗銅鑼科學園區) 台中市后里區三豐路4段369號(中科后里科學園區) 桃園市龜山區復興三路667號(華亞科技園區) 台南市安南區科技一路36號(台南科技工業區) ★ 博覽會場次

Qui sommes-nous ? Fondée en 2014, Artefact est une société internationale de services autour de l'IA et de la data, spécialisée dans le conseil en IA, transformation data et en data & digital marketing. L’approche unique d’Artefact, qui fait le pont entre la donnée et le business, permet à nos clients d’atteindre leurs objectifs business de façon dédiée et efficace. Nos 2500 collaborateurs répartis dans 27 bureaux à travers le monde allient leurs compétences pluridisciplinaires au profit de l’innovation business des entreprises. La mission des Artefactors ? Transformer la data de nos clients en impact business. Dans ce sens, nous collaborons avec plus de 1000 clients, leaders de leurs industries (Orange, Carrefour, Samsung, AccorHotels, L’Oréal, LVMH, Decathlon) et sommes partenaires privilégiés de Google (GMP/GCP), AWS ainsi que Microsoft Azure. En tant que stagiaire Software Engineer, tu seras ammener à: Participer activement à la conception et à l'implémentation de solutions techniques robustes et scalables. Architecture logicielle : Contribuer à la réflexion sur l'architecture de nos applications, en veillant à la performance et à la maintenabilité du code Déploiement et opérations (DevOps) : automatisation des tests et des déploiements cloud avec des pipelines CI/CD et une infrastructure en tant que code (ex : Terraform), packaging d'applications dans des conteneurs (ex : Docker), implémentation d'outils d'observabilité des données (ex : DBT) Déploiement de ton logiciel sur le cloud : GCP, AWS ou Azure Déploiement d’une ou plusieurs expertises techniques suivantes : développement logiciel, ingénierie analytique, ingénierie ML, architecture cloud ou ingénierie de sécurité et de fiabilité des sites Veille technologique : Explorer de nouvelles technologies et outils pour optimiser nos méthodes de travail. Profil recherché Formation : Tu es étudiant(e) en dernière année de cycle ingénieur, Master 2, ou équivalent, avec une s

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Architect , you will lead the architecture and data design work, working closely with Data Engineers, Business Analysts, BI teams, and client technology and business stakeholder in the Data Lake/Lakehouse implementation project. What You’ll Do Designing the target Lakehouse architecture and end-to-end data flows. Defining data models, canonical structures and reusable data-product patterns . Designing scalable and reusable batch, CDC and streaming ingestion patterns . Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access . Assessing and aligning the solution with existing enterprise and regional architecture standards. Supporting source-to-target mapping, data migration and integration design. Providing technical leadership and guidance to Data Engineering teams throughout implementation. Supporting solution design reviews, testing, production readiness and BAU handover. What We’re Looking For 6+ years of experience in data architecture, data engineering, or related roles. Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture. Experience designing enterprise data platforms and data products, particula

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Engineer (Intermediate/Senior) , you will work closely with Data Architects, Business Analysts, BI developers, and client technology teams to design and implement reusable data ingestion and transformation pipelines in Data Lake/Lakehouse implementation programme What You’ll Do Developing batch, CDC and/or streaming data ingestion pipelines from multiple source systems. Implementing Bronze, Silver and Gold data layers , including data cleansing, transformation and standardisation. Developing reusable data pipelines and supporting data product implementation. Implementing data quality, reconciliation, validation and monitoring controls. Supporting data migration, integration testing, UAT and production release. Working with the architecture team to ensure solutions follow agreed cloud, security, governance and engineering standards . Supporting knowledge transfer and BAU handover. What We’re Looking For 4+ years of experience in data engineering or related roles. Strong experience in Databricks, Azure, SQL, Python/PySpark, ETL/ELT, Delta Lake, data modelling, data quality and CI/CD. Experience in financial services especially asset management or large-scale data transformation, would be advantageous. Experience in workong on an end-to-end enterprise da

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Senior AI Engineer – SMAI, Micron Technology, Inc. As a Senior AI Engineer within Micron's Smart Manufacturing & AI (SMAI) organization, you will design, develop, and deploy AI-enabled enterprise solutions that drive manufacturing efficiency, quality, productivity, and digital transformation. You will leverage technologies such as Generative AI, .NET, Angular, JavaScript, SQL, Azure Cloud, and DevOps to build scalable, secure, and high-impact business applications. Key Responsibilities Design and develop AI-powered, cloud-enabled, and full-stack enterprise applications. Integrate Generative AI, machine learning, and intelligent automation capabilities into business solutions. Build modern, intuitive, and responsive user interfaces using Angular, JavaScript, HTML5, and CSS. Develop secure and scalable backend services, APIs, and microservices using .NET technologies. Collaborate with business stakeholders to identify opportunities for automation and process improvement. Contribute to enterprise architecture, application modernization, and technology roadmap initiatives. Implement DevOps best practices including CI/CD, automated testing, monitoring, and deployment automation. Analyze application performance, usage metrics, and system health to improve scalability and reliability. Partne

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities Data Architecture & Strategy Define the end-to-end data architecture for AI-driven Triage and RCA systems. Design scalable data lake, metadata, and semantic layer architectures. Establish enterprise data models spanning engineering, validation, manufacturing, reliability, and design domains. Develop a unified data foundation and common schema across diverse data sources. Knowledge Graph & AI Enablement Architect large-scale knowledge graphs representing engineering expertise, failure mechanisms, product relationships, and historical RCA data. Define graph schemas, ontologies, entity relationships, and semantic search strategies. Enable advanced AI workflows demonstrating GraphRAG, vector databases, and hybrid retrieval systems. Create data frameworks that support autonomous and agentic RCA workflows. Data Integration & Governance Build data ingestion pipelines from engineering systems, telemetry platforms, defect databases, Jira, Confluence, test infrastructures, and manufacturing systems. Establish data quality, lineage, governance, and security standards. Define data access patterns and APIs for agentic AI systems. Platform Scalability Design data architecture supporting millions of records and low-latency AI inference. Partner with cloud and infrastructure teams to optimize performance and reliability. Define observabi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Senior AI Engineer – SMAI, Micron Technology, Inc. As a Senior AI Engineer within Micron's Smart Manufacturing & AI (SMAI) organization, you will design, develop, and deploy AI-enabled enterprise solutions that drive manufacturing efficiency, quality, productivity, and digital transformation. You will leverage technologies such as Generative AI, .NET, Angular, JavaScript, SQL, Azure Cloud, and DevOps to build scalable, secure, and high-impact business applications. Key Responsibilities Design and develop AI-powered, cloud-enabled, and full-stack enterprise applications. Integrate Generative AI, machine learning, and intelligent automation capabilities into business solutions. Build modern, intuitive, and responsive user interfaces using Angular, JavaScript, HTML5, and CSS. Develop secure and scalable backend services, APIs, and microservices using .NET technologies. Collaborate with business stakeholders to identify opportunities for automation and process improvement. Contribute to enterprise architecture, application modernization, and technology roadmap initiatives. Implement DevOps best practices including CI/CD, automated testing, monitoring, and deployment automation. Analyze application performance, usage metrics, and system health to improve scalability and reliability. Partner

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Design, build, and maintain scalable, reliable, and high-availability data platforms and data pipelines to support analytics and data-driven applications Collaborate closely with data scientists, analysts, product teams, and software engineers to translate business requirements into robust and reusable data solutions Own data modeling and data architecture design to ensure data consistency, accuracy, and long-term maintainability Develop and optimize both batch and real-time (streaming) data processing pipelines to improve performance and system stability Ensure data quality, data governance, and data security through monitoring, validation, and anomaly detection mechanisms Continuously improve existing data pipelines and platforms through performance tuning, cost optimization, and technical debt reduction Participate in technology selection for data platforms and tools (e.g., databases, cloud services, data processing frameworks) and promote engineering best practices Create and maintain technical documentation to support knowledge sharing and long-term system sustainability Mentor and support junior data engineers, contributing to the overall technical growth and engineering excellence of the team Stay current with emerging trends and technologies in data engineering and big data, and evaluate their potential adoption and business value Responsibilities include, but not limited to: <span

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase is building the future of institutional trading as part of the Institutional Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Senior Staff Software Engineer on the Exchange team, you'll set the architectural direction for the matching engine, order management, market data, and unified trading systems that clear billions of dollars in daily volume. You'll operate as the most senior technical voice across multiple teams, making the calls on latency, correctness, and resilience that everything else depends on. It's a rare chance to shape a trading platform from the ground up, with the ownership of a startup and the reach of Coinbase. What you'll do: Own the technical strategy and architecture for a core Exchange domain, driving multi-quarter initiatives from ambiguity through incremental milestones to delivery. Lead the design of ultra-low-latency, event-sourced trading systems spanning matching, risk, and market data across cloud and colocated environments. Drive cross-team technical alignment across Exchange, Prime, and Derivatives, securing commitment from senior engineering and product leadership. Set and inspect the quality bar across teams - deterministic testing, failover design, incident leadership, and operational standards for 24/7 markets. Maintain si

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processe

TITLE : Localization Quality Assurance Analyst I LOCATION : Madrid DEPT : Global Localization COMPANY : 2K (Take-Two Interactive) TYPE : Full-Time, onsite At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K , one of the top-selling franchises in the world, and legendary titles like BioShock® , Borderlands® , Mafia , Sid Meier’s Civilization ® , and XCOM® , as well as fan favorites WWE® 2K , TopSpin® , and PGA TOUR® 2K . We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. What We Need Love games? Love languages? As part of 2K’s Global Loc 2.0 initiative, we’re building a more embedded and quality-focused approach to localization—and LQA Analysts are at the heart of it. As an LQA Analyst I, you'll be among the first to experience our games in your native language and help shape how they resonate with players across the globe. This is an entry-level role perfect for linguistically sharp, detail-oriented professionals looking to break into games or localization. You’ll test pre-release content for linguistic accuracy, cultural relevance, and UI functi