Cloud Qa Jobs

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: YipitData works directly with some of the world's largest technology companies to help them make sense and action the vast amount of alte

NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is a great opportunity for a passionate, motivated, and creative individual to deliver outstanding value to our DGX Cloud customers! We are specifically looking for a TPM with extensive experience in CSP/NCP cloud environments, on-prem infrastructure bring-up, and hardware automation. What you'll be doing: As an Infrastructure Technical Program Manager, you'll be a key partner to our external NCP partners as well as key internal teams (Software Engineering, Production Engineering/SRE, and Data Center Operations) and their leadership, driving critical programs related to on-prem infrastructure engineering, bare-metal bring-up, and automation. You'll play a pivotal role in developing and maturing foundational capabilities and processes, spanning critical areas such as hardware validation, remote fleet bootstrapping, operational workflows, and cluster/capacity bring-up. This is a dynamic, fast-paced environment where TPMs are motivated to apply versatile abilities to a range of high-impact programs across the infrastructure lifecycle. Fleet Bring-Up, Automation: Coordinate the end-to-end remote bootstrapping, active bring-up, and validation of large server fleets to take clusters from physical rack-and-stack to a customer-ready state. Drive the adoption of automation tooling for fleet maintenance, node security, and burn-in, while establishing formalized workflows to rapidly triage and resolve day-one deployment issues. NVIDIA Software Integration & Capacity Operations: Partner closely with internal NVIDIA SW teams to integrate and deploy DSX and other c

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run. In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations. What you’ll be doing: Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads. Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks. Perform root-cause analysis of failures in large distributed environments Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster. Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms. Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams. Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization. What we ne

About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. The Team: The Financial Planning & Analysis (FP&A) team analyzes company financial data (revenue, customers, headcount, expenses, etc.) in order to support the business's growth and success. Within FP&A, the R&D Finance team enables the financial strategy behind Datadog's Engineering and Product organizations. This role sits specifically within hosting cost and cloud margin reporting, reporting directly to the FP&A Manager who owns hosting cost analysis, cloud gross margin modeling, and forecasting. The Opportunity: As the first dedicated analyst hire supporting Datadog's hosting cost and cloud margin function, you will own key components of the recurring reporting, close, and forecasting processes that provide visibility into one of Datadog’s largest and most strategically important cost areas. You’ll partner closely with Engineering, FinOps, Capacity Planning, and Vendor Management through a financial lens, with a clear growth path into broader cloud finance and FinOps scope as you build fluency in the space. What You'll Do: Partner with FP&A leadership to manage recurring forecast updates, review cycles, and board-ready materials. Help manage portions of the recurring hosting close, including savings reporting, cost allocation, and key operational drivers. Assist in maintaining the hosting forecast models across Excel and Pigment. Participate in recurring review cadences with FinOps and Engineering partners to align on capacity planning, savings plan coverage, an

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: CVS Health is hiring a Lead Director for our Cloud Platform engineering teams within Digital Engineering - the AWS infrastructure, DevOps practices, and delivery pipelines that every product engineering team builds on. This Lead Director - Digital Engineering, Cloud Platform will own multiple platform engineering teams that power the products and services we deliver to our members, and every improvement you make - faster delivery, lower cost, smarter automation - compounds across everything we ship. This is a strategic architecture and leadership role: you’ll set technical direction for AWS, DevOps, and CI/CD; own the platform’s security and compliance posture; run cloud cost as a managed portfolio; build the self-service tooling that lets developers move faster; and lead AI adoption across both the platform and the teams that depend on it. You will bring deep technical depth, financial acumen to run infrastructure like a business, and the leadership presence to make this platform a genuine competitive advantage. This role reports to an AVP within Digital Engineering and partners directly with executive engineering leadership. What You’ll Be Doing: Setting the cloud platform strategy, target-state AWS architecture, and multi-year roadmap in partnership with Product, Architecture, Security, and enterprise stakeholders Owning AWS secu

Distinguished Engineer, Storage – AI Cloud — US, CA, Santa Clara. Apply via Workday.

We are developing advanced multi-rack, multi-tenant AI/ML datacenters with NVIDIA GB200, and upcoming GB300 GPUs. NVIDIA seeks a Senior Software Engineer for our CSP (Cloud Service Provider) Engagements team to focus on the cloud-native stack for datacenter products like GB200. In this role, You will define customer workflows, prototype stack enhancements, and debug the toughest Kubernetes + Slurm issues in multi-rack, multi-tenant AI datacenters. You'll tackle complex scheduling challenges across racks, tenants, and clouds as part of the CSP engagements team. What you’ll be doing: Perform deep-dive debugging of multi-rack, multi-tenant clusters: scheduler behavior, container runtime issues, device-plugin crashes, RDMA/IB fabric anomalies, etc. Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services that expose new GPU capabilities. Drive joint architecture reviews and “whiteboard” sessions with CSP and internal platform teams; convert findings into RFCs and upstream pull requests. Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites. Deliver technical collateral-design docs, how-to guides, demo scripts-and present at customer on-sites, KubeCon, and SlurmUG. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins). Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters. Proven track record debugging large-scale, cloud-native stacks across ne

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Software Engineer to build and evolve Webflow Cloud, helping builders and marketing practitioners build, deploy, and run full-stack web applications with the assistance of cloud based AI agents. About the role: Location: Remote-first (Argentina) Permanent, full-time employee (this is not a contractor position) Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for an existing vacancy Reporting to the Senior Engineering Manager, Cloud As a Senior Software Engineer, Cloud, you'll … Build and operate reliable cloud services on AWS and Cloudflare, drawing on experience with compute, storage, networking, and managed infrastructure. Evolve the infrastructure that powers web applications and AI agents on Webflow Cloud. Participate in the team’s on-call rotation, investigate production incidents, and drive improvements that prevent recurring issues. Utilize CDN and edge compute capabilities that help customers deliver fast, resilient websites and applications around the world. Own features from customer problem through design, implementation, rollout, and ongoing improvement. Use AI-assisted development practices to accelerate delivery while applying sound engineering judgment, rigorous validation, and clear accountability for code quality. Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams. About you: BA/BS Degree or equivalent experience 5+ years building and operating backend services in production Demonstrated experience in backe

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further! You are an experienced Cloud Ops Engineer who thrives in a fast-paced and AI-forward environment. You have a passion for innovation, solid design principles, and high-quality development. You excel at designing, improving, and maintaining secure, performant infrastructure and enjoy automating processes to ensure efficiency and scalability. You are a proactive problem solver with a strong understanding of system and networking concepts. What You'll Do: Infrastructure Design and Maintenance: Design, improve, and maintain secure, durable, and performant infrastructure to power APIs, AI operations, web applications, and data mining/ETL workflows to meet established SLAs. Collaborate with developers to bring new products and services into production. Automation and Monitoring: Automate testing, deployment, and monitoring of all products and services throughout the software development lifecycle. Continuously improve operational processes and apply best practices to ensure scalability, security, and availability. Security and Compliance: Proactively meet standards for information security and compliance, such as SOC 2/ISO27001/CMMC. Implement and uphold security measures across all infrastructure components. Requirements: Professional Experience: At least 5 years of professional experience in a Cloud Ops / Platform Ops / DevOps role maintaining production infrastructure, preferably supporting a highly available environment for a SaaS or cloud service provider. Technical Proficiency: Strong working knowledge of AWS services such as EC2, ECS or EKS, Lam

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. At NVIDIA, we are seeking a Senior Account Manager who will bring technical and business insight to help grow the Networking business with Cloud Service Providers, leveraging NVIDIA’s fast-growing Datacenter Networking Business. What you'll be doing: You will be an integral part of a small, forward-thinking team responsible for a significant and rapidly growing revenue contribution to the Enterprise products group, the fastest growing and most dynamic segment at NVIDIA. Working with leading CSP to grow deployment of NVIDIA networking solutions Define and drive the discussions, strategy and tactics for achieving revenue growth Partner and collaborate with technical teams on roadmap updates, new designs, competition Representing the customer’s strategy & needs to internal stakeholders and vice versa Delivering a concise state of the business at any given time What we need to see: Bachelor’s degree or higher in related field (or equivalent experience). 12&#43; years of Technical Sales or Product Management with focus on Data Center Networking for CSPs An understanding of the business and technology landscape of CSP Data Center Networking <l

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Cloud Engineering team is hiring a Senior Engineering Manager to lead the group that owns Altana's regulated and sovereign environments. These are the accredited, compliance-constrained deployments our government customers run on, including our FedRAMP environments and dedicated sovereign clusters. You will report to the Senior Director of Platform Engineering and lead a team of three to four engineers across the US, UK, and Australia. The usual playbook does not apply here. Connectivity and automation are constrained and accreditation obligations shape engineering decisions well before anyone opens a design doc. Your job is to make this domain work like a platform instead of a set of individual builds, so that each new accredited environment launches faster than the one before it, and so product teams can keep shipping without having to absorb the regulatory complexity themselves. Your Responsibilities Own the architecture and operation of our regulated and sovereign environments across AWS and Azure, along with the IaC (Infrastructure-as-Code), Kubernetes, and release tooling beneath them Lead the standardization of environment builds into a repeatable blueprint, so the number of environments can grow without headcount growing with it Make sure critical technical decisions in the domain are sound, through design review, RFCs, prototypes, and whiteboard sessions, and hold the quality bar on what the team ships Stay close to the work with hands-on engineering of your own, usually operational tooling or greenfield projects Work with our Security and Compliance team to embed secure-by-default patterns across your environments and make control evidence a routine output of how the team works Keep accreditations healthy, with vulnerability remediation insi

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We are looking for a Software Engineer (Cloud Infrastructure and Observability) to join Nuro's growing Infrastructure team. About the Work Collaborate and work cross-functionally amongst teams are Nuro to align on customer needs. Build high-quality and scalable solutions for infrastructure-as-code, application deployment to Kubernetes clusters. Build automation to improve developer experience, infrastructure reliability, and security. Create observability solutions to monitor production systems, track health status, and improve system performance. About You You have start-up DNA: You have demonstrated an ability to thrive in the ambiguity of a dynamic, start-up environment or have the DNA to do so. You have excellent communication skills. You have software development skills, preferably in Python or Go You are experienced with developing in a public cloud environment. You are experienced with Terraform, Docker, and Kuberne

About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, the team responsible for the foundational infrastructure our products and engineering teams depend on. Cloud Engineering owns LaunchDarkly’s AWS accounts and networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. The team is small, senior, and recently rebuilt. This is a frontline leadership role for a manager who treats operational health as a top priority, leads calmly through incidents, and creates leverage through software, automation, and reliable paved paths. In your first year, you’ll lead a marquee infrastructure insourcing program from planning through completion. The program’s cost savings will help fund additional team growth, giving you the opportunity to deliver meaningful business impact while strengthening the infrastructure behind LaunchDarkly’s next stage of scale. This role combines people leadership, operational ownership, and technical judgment. You do not need to be the most senior individual contributor in the room, but you should be comfortable partnering with experienced engineers, guiding tradeoffs, and creating an environment where the team can do its best work. Responsibilities: Lead and develop a senior Cloud Engineering team, providing clear expectations, coaching, feedback, performance management, and career-development support. Own the operational health of LaunchDarkly’s cloud infrastructure, including incident response, on-call health, service-level objectives, resilience, and disaster recovery. Launch and deliver a multi-quarter infrastructure insourcing program, including sequencing work, managing dependencies, communicating milestones, and ensuring a successful transition. Guide technical priorities and tradeoffs across AWS infrastructure, networking, multi-region Kubernetes, infrastructure as code, GitOps, dat

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Replit enables people to build software with AI. The infrastructure underneath that experience must make it straightforward to launch services, isolate workloads, and run reliable systems at scale. We're hiring a hands-on Engineering Manager to lead Cloud Infrastructure: the shared infrastructure as code (IaC), networking, storage, compute, and service mesh platforms that Replit's product and platform teams depend on. You'll lead and grow an existing engineering team building and operating these foundations, including Kubernetes, shared edge networking, service mesh and workload identity. This is a platform-building role with production accountability. You should be comfortable going deep on a design or incident while developing a team that does not depend on you for every decision. What You'll Do Own the cloud-platform roadmap. Lead the team's IaC, networking, storage, compute, and service mesh platforms. Translate product, platform, reliability, and security needs into sequenced outcomes, balancing foundational investment, lifecycle work, and delivery commitments against the team's capacity. Make infrastructure repeatable and self-service. Build maintained IaC interfaces for services, cells, connectivity, identities, and shared resources. Enable internal customer teams to provision infrastructure without bespoke coordination or dependence on individual experts. Operate what the team builds. Own platform availability, upgrades, isolation, recovery, and incident remediation. Maintain clear SLOs, sustainable on-call coverage, and primary and backup owners for critical systems. Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools—including

About the Role Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute in the Together Cloud org, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs. This is an architect-and-build role. Fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes — you'll set the architecture for these across our global and in-DC services, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer of a greenfield Vera Rubin data center up to the global management plane that schedules capacity across all of them. At this level the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships. Responsibilities Own the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that keeps