153 cloud engineer jobs found in New York

*This is a remote opportunity open to those located in, and legally eligible to work in, Canada. We do have an office located in Victoria, BC for those located here and interested in a hybrid opportunity* Part of the Redbrick portfolio of companies, Leadpages is a complete lead generation platform that helps small businesses, marketing teams, and digital marketers find new customers and close sales online. Leadpages’ no-code website builder, AI Engine,  and full suite of digital marketing tools give growing businesses everything they need to collect leads. Leveraging eleven years of conversion data and industry expertise, Leadpages recently launched performance marketing services to offer its customers a hands-off marketing solution. Distinguished by best-in-class support, Leadpages is a three-time Inc. 500 company. Leadpages is a Certified B Corporation as part of the Redbrick portfolio. Redbrick has been named one of Canada’s Top Small and Medium Employers for six consecutive...

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a...

About this role About the Role: The Cloud Network Security Engineer is responsible for automating, designing, implementing, and maintaining secure networking environments across public, private, and hybrid cloud platforms. This role ensures confidentiality, integrity, and availability of data and services by applying advanced security principles, and compliance standards. Key Responsibilities Architecture & Design Develop secure network architectures for hybrid & multi cloud environments (AWS, Azure, GCP). Architect robust security solutions for containerized applications. Implement network segmentation, micro-segmentation, and zero-trust principles. Design end-to-end encrypted connectivity patterns. Design secure network architectures for containerized environments i.e. Open Container Initiative (OCI) container packaging and runtime Design scalable / dynamic security patterns, leveraging tag & identity-based...

About This Role Job Description Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, but want to solve some of the world’s most complex problems? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for Engineers who like to innovate and solve complex problems. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. With over USD $8 trillion of assets, we have an exceptional responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial wellbeing. Being a developer at BlackRock means you get the best of both worlds: working for one of the most advanced financial companies and being part of an engineering team responsible...

Are you ready to make an impact? As a Senior Data Engineer , you will work with clients and internal teams to develop scalable, high-performance data solutions. You will focus on building modern data pipelines, implementing cloud-native architectures, and ensuring data quality and reliability. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate in a fast-paced consulting environment. Responsibilities Design and develop robust, scalable, and efficient data pipelines using modern tools and frameworks. Build and optimize ETL/ELT workflows for ingesting, transforming, and storing structured and unstructured data. Implement data architectures on cloud platforms, particularly Google Cloud Platform (GCP), leveraging services such as Dataflow, BigQuery Dataform, and Data Fusion Develop real-time data processing solutions using streaming technologies like Apache Beam and Pub/Sub. Collaborate with data architects and business...

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Lead AI/DevOps Engineer Job Description Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who team to deliver on our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. The opportunity The Platforms Practice specializes in mission-critical, intelligent platforms for the world's most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers,...

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You’ll Do Description of the Team The People Systems M&A team partners across People, IT, Finance, Legal, Security, and Corporate Development to enable seamless workforce transitions during mergers, acquisitions, and divestitures. This team is responsible for integrating people, data, and systems into CoreWeave’s HR technology ecosystem while ensuring compliance, payroll accuracy, and a positive employee experience throughout periods of change....

Job Requisition ID # 26WD94771 Principal Machine Learning Engineer, 3D & Generative AI Systems Position Overview Autodesk is transforming the AEC (Architecture, Engineering, and Construction) industry by embedding generative AI and data-driven intelligence deeply into our products. Across AutoCAD, Revit, Construction Cloud, and Forma, we are building cloud-native, AI-powered systems that operate at the scale and complexity of real-world design and construction data. As a Principal Machine Learning Engineer on the AEC Solutions team , you will lead the design and implementation of new machine learning models for large-scale 3D data retrieval and representation learning . Your work will focus on transforming complex geometric data-meshes, point clouds, CAD/BIM representations-into high-quality embeddings and retrieval systems that power next-generation design workflows. This role combines deep model development ,...

Job Description Insight Global is seeking an endpoint engineer to sit onsite in New York with one of their largest entertainment clients. This person will be joining a team of 3 endpoint engineers responsible for supporting 5,000+ endpoints. Their day to day responsibilities will include architecting and managing SCCM, Intune, and Windows Autopilot for zero-touch provisioning, designing and running Cloud Management Gateway for remote device management, overseeing patching, updating rings, and windows for feature upgrades, building and maintaining OS images, app packaging, and deployment workflows, etc. Priorities consist of staying on target, understanding the environment, and executing daily tasks accordingly. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who team to deliver on our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. The opportunity The Platforms Practice specializes in mission-critical, intelligent platforms for the world's most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers,...

The Company Konko AI builds production agent platforms for healthcare operations. We operate inside real medical clinics across Latin America, shipping AI agents that handle patient conversations at scale under strict requirements for reliability, safety, and trust. This is production work with real consequences — not demos. We’re scaling quickly across LATAM, solving real operational problems inside clinics, and building a durable, category-defining company. The Role You will own AI agents in production — how they behave, how they fail, and how they scale safely across clinics — turning one-off edge cases into reusable, self-serve product primitives. Customer-facing teams handle discovery and configuration. Your job is to unblock the hardest cases, codify the fix, and make the next clinic easier. Your work shapes real patient conversations at scale within weeks. What You’ll Do Own agent reliability end-to-end: trace failures, diagnose root causes, fix...

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be...

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who team to deliver on our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. The opportunity The Platforms Practice specializes in mission-critical, intelligent platforms for the world's most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers,...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who team to deliver on our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. The opportunity The Platforms Practice specializes in mission-critical, intelligent platforms for the world's most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers,...

Job Requisition ID # 26WD94771 Principal Machine Learning Engineer, 3D & Generative AI Systems Position Overview Autodesk is transforming the AEC (Architecture, Engineering, and Construction) industry by embedding generative AI and data-driven intelligence deeply into our products. Across AutoCAD, Revit, Construction Cloud, and Forma, we are building cloud-native, AI-powered systems that operate at the scale and complexity of real-world design and construction data. As a Principal Machine Learning Engineer on the AEC Solutions team , you will lead the design and implementation of new machine learning models for large-scale 3D data retrieval and representation learning . Your work will focus on transforming complex geometric data-meshes, point clouds, CAD/BIM representations-into high-quality embeddings and retrieval systems that power next-generation design workflows. This role combines deep model development ,...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who team to deliver on our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. The opportunity The Platforms Practice specializes in mission-critical, intelligent platforms for the world's most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers,...

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be...

About The Role Were seeking a highly skilled Platform Engineer with deep experience in building systems from the ground up. This role is ideal for someone who enjoys solving complex distributed-systems challenges, shaping core infrastructure, and working across both backend engineering and DevOps. You'll help design and implement scalable platform components, contribute to high-performance backend systems, and support infrastructure that enables rapid iteration and secure, reliable deployments. A strong background in Go (Golang) is essential, along with familiarity in modern cloud-native tooling. An understanding of EVM-based systems or blockchain fundamentals is a plus, but not required. Key Responsibilities Design, build, and maintain core platform components and backend services Develop scalable systems from scratch with a strong focus on performance and reliability Contribute to architecture decisions across distributed systems, APIs, and internal services...

About The Company: At Scribd Inc. (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. This posting reflects an approved, open position within the organization. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build...

Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations. Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes. Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing. Conduct...

At Scale, our Security Architecture team builds the foundations that allow engineers to ship fast without compromising security. From securing modern TypeScript services and cloud infrastructure to enabling safe adoption of AI-driven systems, our work shapes how products are designed, deployed, and operated across the company. We are looking for a Staff Security Engineer to help define and build the “paved road” for secure development at Scale. As a Staff Security Engineer, you will operate as a builder first — roughly 60% software engineering and 40% security. You’ll partner deeply with product, platform, and infrastructure teams to design secure architectures, build shared primitives, and influence how engineering teams work end-to-end. This role requires strong production software engineering DNA, architectural judgment, and the ability to lead through influence in a fast-moving, high-impact environment. You will: Design and build secure application and...

Posted Date 1/09/2026 Description Senior Lead Machine Learning Engineer (Big Data and Machine Learning) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the...