Cloud Platform Administrator Sign On Bonus Potential in United States

As the Engineering Manager for Commercial Audit, you will lead a high-performing team responsible for scaling Datadog’s security and compliance posture through automation, tooling, and engineering excellence. Our GRC (Governance, Risk, and Compliance) function is a critical partner to the broader Security and Engineering organizations, ensuring that Datadog not only meets rigorous global regulatory standards but does so in a way that is efficient, scalable, and integrated into our cloud-native infrastructure. You will manage a team of engineers and analysts who are transitioning to a GRC engineering direction to treat compliance as a software problem, leveraging AI, custom tooling, CI/CD pipelines, and cloud-native services to turn complex regulatory requirements into actionable, automated controls. You will lead the strategy, roadmap, and execution of Datadog’s Commercial Audit initiatives. This is a high-impact leadership role where you will grow a team of engineers and analysts responsible for directly maintaining our compliance programs and related audits (e.g., SOC2, PCI, HIPAA, ISO) while looking to improve efficiency and effectiveness through platforms and tooling. You will act as a bridge between technical engineering, legal, and compliance, enabling the organization to move fast while maintaining a secure and compliant environment. You will champion a culture of "compliance-as-code," identifying opportunities to automate evidence collection, streamline control testing, and reduce manual toil for both your team and our partner engineering teams. 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: Lead the strategy, roadmap, and execution of Datadog’s commercial security compliance efforts, shifting from manual audit processes to automated, scalable

The Role MongoDB is seeking a Staff Product Manager to lead strategic initiatives across Identity and Security. In this role, you will serve as the senior product leader shaping the next generation of authentication, authorization, and access control across MongoDB Atlas, the core database engine, and emerging developer platforms. You will lead the strategy for non-human identity—spanning workload identity federation, zero-trust passwordless access, Model Context Protocol (MCP) integrations, and autonomous AI agentic identity. You will partner closely with engineering, UX, product marketing, and enterprise customers to build identity experiences that are enterprise-grade, seamless for developers, and secure by default. Responsibilities Set and champion a multi-year product strategy across interrelated identity areas, aligning dependencies and investments to MongoDB’s broader objectives Identify cross-cutting customer and market opportunities, build business cases for investment, and bring a clear point of view to senior stakeholders Lead workload identity federation and programmatic access initiatives across cloud and enterprise identity environments Define secure authorization approaches for AI agents and MCP clients, including delegation, identity lifecycle, policy, and administrative controls Drive developer-first access management, ensuring security controls enhance rather than obstruct developer velocity Partner with engineering, design, GTM, and cross-functional leadership to validate enterprise requirements, prioritize initiatives, and measure feature adoption Stay ahead of evolving cloud security paradigms, emerging standards (e.g., SPIFFE/SPIRE, O4AA), and AI access patterns to guide executive decision-making Represent MongoDB’s security and identity vision at industry events, customer advisory boards, and executive briefings Demonstrate creativity, an innovative spirit, and a bias towards action Requirements 8+ years (or equivalent experience) in Pro

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades Supporting research workflows with service frameworks and deployment systems Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching Much more! About the Role As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems. Interface with researchers and product teams to understand workload requirements Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service You might thrive in this role if you: Have experience with hyperscale compute systems Possess strong programming skills Have experience working in public clouds (especially Azure) Have experience working in Kubernetes Execution focused mentality paired with a rigorous focus on user requirements As a bonus, have an understanding of AI/ML workloads About OpenAI OpenAI is an AI resea

About the Team The Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently. About the Role As a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products. We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services. Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems. Improve performance, resilience, and scalability of core services that power customer-facing applications. You might thrive in this role if you: Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence). Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows. Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems. Excel at communication and collaboration with cross-functional teams, and are obsesse

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection. Develop automation and detection tooling to continuously identif

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation. Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics. Lead cross-functional launches

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. The Red Team in the Security Foundations org is responsible for conducting security assessments against Snowflake’s diverse cloud environment and finding vulnerabilities in software, systems, and networks. In this role, you will execute security assessments across Snowflake’s corporate and product environments. You will partner with cross-functional teams to communicate gaps discovered during engagements and help drive remediation. You will develop tools, perform security research, and build infrastructure to augment the Red Team’s capabilities. Our ideal candidate wakes up each morning thinking about different parts of the business that can benefit from security assessments. Their goal is to identify relevant security risks and help the business understand them so they can build effective defenses and protect Snowflake customers and their data. RESPONSIBILITIES Develop tools, methodologies, and infrastructure to support Red Team engagements in a variety of cloud environments and novel platforms Participate in security assessments against a diverse cloud environment and find vulnerabilities in software, systems, and networks Set scope, objectives, and timelines for security assessments and leverage data to create meaningful metrics Work with security and engineering teams t

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. We are hiring a Staff Security Engineer for our Enterprise Security team. The threats facing modern organizations are evolving at an unprecedented pace — driven by AI, cloud complexity, and an ever-expanding attack surface. Our Enterprise Security team is responsible for protecting Snowflake, our employees, and our customers by designing, implementing, and maintaining robust endpoint security solutions at enterprise scale, defending not just endpoints and identities, but the AI-assisted workflows and intelligent systems that define how the modern enterprise operates. AS A STAFF SECURITY ENGINEER AT SNOWFLAKE, YOU WILL: Develop, maintain, and scale Snowflake's endpoint security solutions while actively contributing to architecture and strategy. This includes EDR, DLP, secure browser, MDM, and AI security solutions across a complex multi-cloud, multi-SaaS enterprise environment. Own the technical roadmap for endpoint security tooling as Snowflake rapidly grows. Build intelligent security platforms and automate security operations using AI and robust software engineering. Identify opportunities to reduce toil, increase detection fidelity, and accelerate response through thoughtful, scalable automation. Monitor security events, investigate incidents, and build real-time detecti

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 Horizon Catalog is the context and governance layer of the Snowflake AI Data Cloud. AI is fundamentally transforming how enterprises monitor and trust their data: instead of manually configuring thresholds and triaging failures, AI-powered anomaly detection fires on freshness and volume deviations automatically, agentic root cause analysis traces quality failures back to their upstream source in minutes, and intelligent lineage surfaces the blast radius of any schema change before it reaches a dashboard. Snowflake's native Data Observability capabilities — Data Metric Functions, graphical column-level lineage, anomaly detection, and AI-powered root cause analysis — are the foundation of this next-generation trust layer. We are seeking a Senior Product Manager to own the Data Observability product area, spanning Data Quality, End-to-end Lineage, and Root Cause Analysis. You will define the strategy for how Snowflake competes and wins against best-in-class observability platforms, drive the AI-first transformation of how enterprises detect and resolve data quality failures, and lead a high-performing cross-functional team to deliver capabilities that make enterprise data pipelines self-healing and self-explaining at scale. AS A SENIOR PRODUCT MANAGER – DATA OBSERVAB

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. About our Team: Micron’s Industrial and Physical AI team is driving the transformation of semiconductor manufacturing through Autonomous Operations, AI, robotics, and digital twin technologies! We develop and deploy innovative solutions across Micron’s global fabrication and assembly/test facilities, enabling smarter, safer, and more efficient operations at scale. Position Overview: We are seeking a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications that support Micron's Autonomous Operations initiatives. This role owns the end-to-end development lifecycle, from data pipelines and AI models to APIs, web applications, digital twin integrations, and cloud/edge deployments, delivering impactful solutions for engineers, operators, and business leaders worldwide. Responsibilities: Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training/inference, APIs, user interfaces, and application monitoring. Build and maintain modern front-end applications using React, Angular, or Streamlit, supported by backend services in Python and FastAPI. Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, sensor networks, and enterprise applications to enable intelligent factory operations. Design and implement digital twin environments using platforms such as NVIDIA Omniverse, Gazebo, or Unity Robotics Hub to support simulation, validation, and o

Become a part of our caring community We are seeking a highly experienced Lead Full Stack Engineer to drive engineering excellence across front-end, back-end, API, and data layers. This role is responsible for setting technical direction, ensuring consistent delivery across teams, and aligning engineering solutions with business priorities. The ideal candidate will be a strong technical leader who thrives in complex environments, drives modernization initiatives, and develops high-performing engineering talent. This role offers the opportunity to shape the future of our engineering landscape, influence enterprise-scale decisions, and lead transformation initiatives that directly impact customer experience and business growth. Location : Louisville, KY or Dallas, TX (Work At Home with occasional office visits) Key Responsibilities Engineering Leadership & Strategy Lead full stack engineering strategy and execution across UI, APIs, and data platforms Define architectural direction and ensure high standards for code quality, scalability, and maintainability Select frameworks, languages, and platforms across front-end, back-end, APIs, and data layers Approve architectural patterns (monolith vs. microservices, cloud strategy, and integrations) Identify opportunities to refactor, modernize, or retire legacy systems Delivery Execution & Prioritization Drive consistent delivery across multiple engineering teams through: Sprint planning and execution Dependency management Risk mitigation Removal of technical and organizational blockers Prioritize feature development, platf

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 Senior Software Engineer Who is Mastercard? We work 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 their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respect their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results About the Role Senior Software Engineers at Mastercard design and code artificial intelligence, cloud, and machine learning platforms that provide mission-critical insights to many of the world’s leading organizations and governments. As a Senior Software Engineer, you will deliver these products and solutions with speed and agility as part of a small team. This will involve developing high-performing, highly scalable software solutions and products for some of the world’s top brands. Specific tasks vary depending on the project and the busi

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 Digital is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world. Currently, we are seeking a Staff Software Development Engineer, who will serve as a senior technical leader on a cross-functional product team responsible for designing, developing, and delivering scalable healthcare technology solutions. You will play a critical role in driving architecture decisions, mentoring engineers, and partnering with product, UX, and business stakeholders to build secure, cloud-native applications that enhance the digital healthcare experience. In this role, you will lead the development of distributed systems and microservices leveraging Java, Spring Boot, event-driven architectures, and modern cloud technologies. This Staff Engineer will also guide data migration and interoperability initiatives, supporting healthcare integrations that enable seamless and secure exchange of clinical data across platforms. The ideal candidate combines strong software engineering expertise with a passion for innovation, technical leadership, and delivering high-quality solutions in an Agile environment. Expectations for the Role Software

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 Software Engineer 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 their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview We are seeking an experienced Lead Software Engineer that possesses strong experience with Golang with strong communication skills to work within the Next Edge program. The Next Edge program is developing Mastercard’s next generation edge platform with programmatic interfaces for data transport (transactions, messages, events, APIs, files, etc.) that give our customers a single point of entry to Mastercard network via private customer on-prem connectivity as well as from public clouds. Role • Lead the design, development, and evolution of Mastercard's next-generation edge platform an

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role’s hybrid or remote designation. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team Join a team powering secure, scalable email services for millions of customers worldwide! As part of GoDaddy's Professional Email team, you'll solve complex challenges in distributed systems, cloud infrastructure, security, and AI while modernizing critical platforms that businesses rely on every day. If you enjoy owning impactful systems, working across a diverse technology stack, and building innovative solutions at scale, you'll feel right at home here. What you'll get to do... Design, build, and maintain highly available, scalable APIs and services used by millions of customers Deploy, manage, and optimize cloud infrastructure in AWS Architect and implement modern solutions that improve performance, reliability, and security Leverage AI technologies to enhance development workflows and create innovative customer experiences Monitor, troubleshoot, and resolve complex production issues using modern observability and monitoring tools Drive continuous improvement through automation, modernization, and operational excellence C