Cloud Alliance Manager in United States

Become a part of our caring community Humana is seeking a Lead Cloud Architect – NoSQL Databases to provide strategic leadership, architecture direction, and engineering oversight for enterprise NoSQL database platforms across Humana’s cloud environments. This role will focus on the design, implementation, modernization, and governance of NoSQL database solutions, including MongoDB, Azure Cosmos DB, Neo4j, and vector database technologies. The successful candidate will help define and advance Humana's enterprise NoSQL strategy, support platform rationalization initiatives, and ensure database solutions are secure, scalable, resilient, automated, and aligned with enterprise architecture standards. This role requires hands-on technical depth, strong cloud architecture experience, and the ability to collaborate across security, engineering, quality, application, and business teams. Key Responsibilities Develop, document, and maintain enterprise-wide NoSQL database standards, reference architectures, design patterns, and best practices. Lead architecture and engineering efforts for NoSQL platforms including MongoDB, Azure Cosmos DB, Neo4j, and vector databases. Support NoSQL platform rationalization and modernization initiatives, including migration planning and execution from Cosmos DB to MongoDB where appropriate. Architect secure, highly available, scalable, and performant NoSQL database solutions across cloud environments, including Azure and/or Google Cloud Platform. Define database architecture patterns for document databases, graph databases, key-value workloads, and vector search use cases. Guide application teams on NoSQL data modeling, partitioning, indexing, query patterns, performance optimization, and operational readiness. Oversee automation of NoSQL provisioning, configuration, monit

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access. Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows. Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems. Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification. What we need to see: BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience. Strong foundation in algorithms, data structures, distributed systems, and practi

What you’ll do Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet. What we’re looking for Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability. Experience shipping production systems that handle large data volumes and failure-prone networks. Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments. Useful experience Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability. Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails. Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks. Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Cloud Security Engineer, you will define and implement the security strategy and controls across our hybrid and multi-cloud environment. Embedded within the Platform Security team, you will operate with a high degree of autonomy, partnering closely with Infosec and Infrastructure teams to secure our cloud infrastructure. Your architectural decisions will directly impact the security of a global platform. You Will: Create Paved Roads: Build innovative services and tooling that make the secure path the easiest path, enabling developers to deploy faster and safer. Engineer Self-Healing Infrastructure: Architect and scale systems that monitor our cloud posture and automatically enforce a self-healing security baseline. Design Secure-by-Default Blueprints: Partner deeply with infrastructure teams to bake threat modeling and secure-by-default patterns into the core DNA of our cloud environments. Implement Effective Guardrails: Deploy organizational security controls that protect our developers without slowing them down. Advance Detections: Write and optimize detections tailored specifically to our footprint. You Have: 4+ years: of relevant professional experience. Experience writing a

As a Cloud Security Engineer you will partner with different stakeholders across the organization to secure our cloud infrastructure. As part of the Platform Security organization we secure the building blocks of Datadog’s applications and infrastructure. We do this by building solutions to solve systemic risks and combine an approach of making the secure path easier and the insecure path harder to secure and accelerate the business. We regularly partner with the most bleeding edge internal products and are working to solve and build solutions to enable our safe usage of AI. We also develop AI based solutions to enable security at scale. We are looking for a Service Mesh and Kubernetes focused security specialist to help round out an incredibly strong infrastructure security focused group. You will rotate through a variety of internal projects and gain deep exposure to Datadog’s infrastructure. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Solve our most challenging cloud infrastructure security problems starting with our core building blocks and golden paths. Enable our engineers to build and ship secure solutions quickly. Build and extend Datadog’s Platform Security solutions. Leverage and influence the direction of Datadog’s products to secure our infrastructure, and provide internal feedback that enables our teams to improve the products for ourselves and our customers. Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience. Passionate about advocating for and implementing solutions to complex problems, at-scale, in a large multi-cloud environment. You don’t want to just provide security recommendations, you want to help imple

As TaylorMade continues to grow, the number and complexity of integrations are increasing. TaylorMade maintains a substantial number of data interfaces across multiple time zones, operating 24/7, many involving multi-step processes and connecting several major global applications. This ecosystem requires continuous monitoring, support, and enhancement. The Senior Software Engineer, Integration is responsible for the ongoing improvement and evolution of TaylorMade’s enterprise application integration (EAI) environment, including supporting processes, procedures, and technologies. The successful candidate will demonstrate expertise in delivering modern, high-performing, and secure business software systems using cutting-edge technologies and tools, including middleware, iPaaS, and cloud-based databases. This position is responsible for designing and building best-in-class application integration architectures and interfaces, leveraging both real-time and batch integration patterns. Essential Functions and Key Responsibilities: Participate in all aspects of high-level planning, design, development, and deployment of data integrations. Lead middleware and application interface activities, utilizing a strong EAI background to develop solutions. Design and architect ETL solutions for on-premise to on-premise, on-premise to cloud, and cloud-to-cloud scenarios. Participate in technical discussions and provide guidance and expertise for Informatica and related middleware and data architecture technologies. Ensure all interfaces and middleware components perform as expected and are proactively monitored and managed for availability and capacity. Employ strong problem-solving skills and a proactive attitude, taking full ownership of assign

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Health100 is an AI‑native health technology platform that unifies pharmacies, providers, insurers, PBMs, and digital health solutions into a single, consumer‑focused ecosystem. Powered by Google Cloud AI, we’re reimagining personalized and connected health experiences. As a Senior Software Engineer for Health100, you will play a crucial role within a collaborative team — designing, developing, and maintaining backend services and APIs while ensuring releases are well-coordinated, fully prepared, and successfully deployed to production. The ideal candidate brings strong technical expertise in modern backend development, excellent problem-solving skills, and a proactive approach to production monitoring, issue triage, and cross-team coordination. This position is critical in maintaining high engineering standards, ensuring smooth release cycles, and driving operational excellence across the development lifecycle. *This role can be based anywhere in the US; hybrid or remote with preference for candidates to work out of our corporate headquarters in Woonsocket, RI. Responsibilities: Partner with technical leaders and the open-source community to contribute to technical designs, frameworks, roadmap definition, and requirements-gathering. Provide domain knowledge and engineering insight to guide early designs, ac

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. Engineering Manager, Cloud Efficiency Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. We are looking for an experienced Engineering Manager to lead the Cloud Efficiency engineering team. In this role, you will own the technical vision and execution for building a unified, self-serve cloud efficiency platform along with AI skills and agents that makes resource usage and spend attributable and governable while driving insights and optimization of our cloud spend. AS AN ENGINEERING MANAGER IN CLOUD EFFICIENCY, YOU WILL: Lead and grow our talented team of software engineers, fostering a culture of technical excellence, ownership, and continuous learning. Drive the roadmap for Cloud Efficiency — translating company-level spend objectives into engineering systems: authoritative cost data, resource ownership registry, attribution pipelines, cost and unit economics modeling, observability, governance policies, and optimization workflows — in partnership with Product, Engineering, Finance, and Data Science. Set technical strategy for backend systems, data pipelines, and APIs that measure, attribute and surface cost and usage insights at

Locations: South Jordan, UT Salary: $56,000 Launch Your Career in Technology Every app, website, payment, and digital service relies on technology running smoothly behind the scenes. When something goes wrong, Production Support Engineers are the people who investigate the issue, restore service, and help prevent it from happening again. If you're curious, analytical, and enjoy solving problems, this is an opportunity to build hands-on experience with cloud platforms, Linux, automation, databases, and large-scale enterprise systems from day one. What Is Production Support? Production Support Engineers keep business-critical applications running reliably in live environments. Think of it this way: Software Engineers build the platform. QA Engineers test the platform. Production Support Engineers keep the platform running when it matters most. Working at the intersection of technology and business, you'll troubleshoot issues, automate processes, and help improve the reliability and performance of systems used by thousands, or even millions, of people every day. If you enjoy solving puzzles, working under pressure, and understanding how large-scale systems work, this could be the perfect place to start your career. What You'll Do As part of a global production engineering team, you'll: Help support large-scale applications and platforms used by leading organizations around the world. Monitor business-critical applications and services to ensure high availability and performance. Investigate and resolve production incidents across applications, infrastructure, databases, and cloud environments. Analyse logs, alerts, and system metrics to identify root causes and prevent recurring issues. Partner with software engineers, infrastructure teams, and business stakeholders to improve system reliabilit

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. Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving recommendations and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering

Job Details: Job Description: This is a high-visibility, commissioned sales leadership role within Intel's US Sales organization, specifically focused on our most disruptive AI-Native and Strategic CSP accounts. You will be the primary architect of Intel's relationship with industry titans who are redefining the boundaries of AI model training, AIaaS solutions and deployment at scale. This is not a traditional sales role. You will operate at the intersection of deep technical engineering and executive business strategy, ensuring Intel's silicon and software roadmap aligns with the world's most demanding AI-as-a-Service and SaaS platforms across on-prem, Tier1 CSP and NeoCloud environments. Key Responsibilities Executive Orchestration: Act as the One Intel lead, building deep-rooted partnerships with C-suite executives and Principal Engineers at world-class AI and SaaS firms. Technical Value Synthesis: Translate complex hardware architectures (CPU, GPU, Accelerator, Networking, and Packaging) into business outcomes for customers running massive-scale distributed training and inference workloads. Strategic Growth: Drive Intel's data-centric growth strategy by identifying and securing design wins within the core infrastructure of the world's leading AI models and solution providers. Cross-Functional Leadership: Partner closely with Cloud Solution Architects (CSAs), Intel Business Units, Cloud and OEM partners to influence future product roadmaps based on the unique needs of AI-native disruptors. Market Evangelism: Serve as a technical and business evangelist, articulating Intel's vision for the future of AI and compute infrastructure in a highly competitive landscape. <p style="text-align:inhe

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. The Principal Product Marketing Manager for the Cloud Memory Business Unit is responsible for defining and communicating the value of Micron's memory portfolio for AI, cloud, and data center markets. This role serves as a strategic link between product management and global marketing to shape market perception, drive demand, and enable competitive differentiation. At the Principal level, this role operates with significant independence and serves as a subject matter authority, influencing cross-functional decisions and shaping business outcomes at the portfolio level. This Principal PMM operates as a subject matter authority, influencing both near-term go-to-market execution and long-term category leadership positioning in high-growth markets. The role is expected to harness advanced AI technologies, including the creation, deployment, and management of AI agents and automated workflows, to optimize market analysis, customer insights, content development, campaign execution, competitive intelligence, and operational effectiveness. The successful candidate will demonstrate proficiency in finding opportunities where AI can accelerate business outcomes, increase productivity, improve decision-making, and scale marketing impact across the organization. Responsibilities: Product Positioning & Value Definition - Define and articulate clear product value propositions, differentiated positioning, and customer-facing messaging; translate complex technical capabilities into business outcomes Go-to-Ma

Datadog’s Cloud Networks team designs, builds, and maintains the production network infrastructure that powers everything built on top of our platform across AWS, GCP, Azure, and beyond. In this role, you’ll set technical direction for how we scale our multi-region, multi-cloud network footprint while keeping reliability and performance high. You’ll partner closely with internal teams and Cloud Service Providers to troubleshoot complex connectivity issues, integrate new networking capabilities, and improve the foundations our engineers and customers rely on. This is a high-impact opportunity to drive meaningful improvements in scale, resiliency, and cost efficiency. 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: Design, build, and operate cloud network infrastructure across AWS, GCP, Azure, and Neoclouds in a multi-region environment. Own connectivity between clouds, customers, and developers—ensuring scalable, secure, and reliable network paths. Set clear technical direction for expanding data centers and evolving the network while maintaining stability and performance. Improve cross-site and cross-region connectivity patterns to support Datadog’s growing platform needs. Lead deep investigations into latency, packet loss, and connectivity failures – from pcap and path analysis through to escalations with cloud providers that may originate from customer support Identify and deliver network-related efficiency and cost-saving opportunities that positively impact business health. Who You Are: You have deep networking expertise. You understand BGP, route policies, path selection, prefix advertisement, and what breaks in large-scale networking. You have substantial experience designing, building, and evolving large-scale Software-Defined Networks—inclu

Datadog’s Cloud Observability group is one of the core data retrieval and processing groups powering our foundational product, Infrastructure Monitoring. The group’s scope includes integration with all major hyperscalers (AWS, Azure, GCP, OCI), as well as both regional and GPU-specific cloud providers. As Director, you will own engineering for all clouds, generating more than 10 million metric points per second, managing ~40 engineers through a team of Engineering Managers. You’ll partner with Senior Directors and product leadership to shape the roadmap, not just execute against it, managing the growth of one of Datadog’s foundational teams. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Own engineering for all of Cloud Observability Manage ~40 engineers through a layer of Engineering Managers; this is a manager-of-managers role Shape the roadmap alongside product leadership rather than simply executing against it — push back on, iterate on, and help author the strategy for your area Drive AI adoption across the engineering org, from tooling and workflows to product features and team practices Navigate cross-team dependencies across the Agent, Telemetry Onboarding, Integrations, Action Platform, and Infrastructure Monitoring. Build and retain engineering talent in NYC, Boston, and Paris, mentor Engineering Managers toward Director readiness, and participate in the on-call rotation Who You Are: You have directly managed Engineering Managers, not just individual contributors You have deep experience with one or more cloud providers, ideally with experience operating large-scale systems in the cloud. You have a solid understanding of cloud economics, as well as how to balance performance and cos

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Order to Cash (OTC) team oversees the complete flow of commercial transactions from order intake and provisioning through billing, collections, and cash application — ensuring accuracy, compliance, and operational excellence in support of OpenAI’s mission to ensure artificial general intelligence benefits all of humanity. About the Role We are looking for a senior, hands-on operator to own Order Management and Billing execution across OpenAI’s cloud marketplace and partner ecosystem, including platforms such as AWS, GCP, Oracle Cloud, GovCloud, and future channels. This senior individual contributor role will translate partner requirements into scalable workflows and ensure launch readiness, accurate billing, and reliable daily execution. As a senior individual contributor within the Cloud Marketplaces team, you will own the end-to-end order-to-invoice lifecycle for your assigned portfolio. You will ensure that private offers, commercial terms, provisioning, pricing, usage, billing data, credits, settlements, and partner-specific reporting flow through our systems accurately, on time, and with audit-ready controls. You will implement and continuously improve the common cloud marketplace operating model, lead cross-functional execution for your assigned portfolio, and surface risks, requirements, and improvement opportunities. You will partner across Revenue Systems, Product, Engineering, GTM, Finance, Partner Operations, and external marketplace stakeholders. This role is critical to building the operational backbone for OpenAI’s expansion across cloud marketplaces and government-cloud channels. You will combine deep operational judgment with process and control execution, automation, clear communication, and hands-on problem solving to improve billing reliability, partner experience, customer outcomes, and financial integrity at scale. This role