Azure Senior Data Cloud Architect Jobs

As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises. Through deep technical expertise, relentless problem-solving, and exceptional customer engagement, we educate, guide, and troubleshoot, delivering high-impact solutions that shape the customer experience. Whether through hands-on technical call, in-depth fact findings meeting, or complex investigations, we set the gold standard for technical excellence and customer advocacy. As part of our TEE team, you’ll tackle the most challenging technical problems, collaborate directly with Engineering and Product to refine and evolve our platform, and mentor teams worldwide, elevating the technical bar at every level. As part of the Technical Escalation Engineering (TEE) team, you’ll operate at the heart of Datadog’s ecosystem, working at the intersection of Technical Solutions, Engineering, Product, and our Customers. Every challenge you take on will directly impact the performance, scalability, and success of both our clients and our platform. You’ll be in an environment that moves fast, challenges you daily, and rewards curiosity, ownership, and technical excellence. This is your chance to shape the future of observability and security, driving innovation, mentoring teams, and influencing product direction while witnessing your expertise make an immediate and lasting impact. 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: Become the expert on usage metering, revenue-impacting behavior, and Cloud Cost Management within Technical Solutions, helping customers optimize usage and control spend across all Datado

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

About the Team We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. Our focus is turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security i

About the Team The Ona team at OpenAI is helping build the software factory for the enterprise. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to make progress across the software lifecycle—beyond a single developer’s laptop or active session. Our focus is helping enterprises move from experimenting with agents to using them reliably in production. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security into execution workflows through clear permissions, credential handling, is

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's Observe business unit delivers AI-powered observability at enterprise scale, unifying logs, metrics, and traces across petabytes of telemetry data into a single, trusted, Snowflake-native platform. As organizations shift from reactive monitoring to proactive, automated troubleshooting, the implementation experience becomes a critical driver of product value. Solutions Architects are the architectural foundation of the Observe post-sales practice. They bring deep platform and observability domain expertise to design durable, scalable architectures, ensuring every enterprise implementation starts with a sound technical foundation that Implementation Engineers (IEs) execute with confidence and customers build on for years. By owning the architecture layer, and establishing shared standards that demonstrate what great looks like, Solutions Architects multiply the effectiveness of the entire go-to-market team. This role is ideal for a technically exceptional practitioner who has moved beyond execution into architecture. Someone who can assess a complex enterprise environment, design an observability system built to scale, document it with precision, and hand it off with confidence. WHAT YOU'LL DO: Take an active role in technical discovery on SA-attached engagements,

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. We're looking for a Production Operations Engineer to join our fast-growing company at a breakthrough stage, as we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality, innovative solutions with the latest technologies - and we never forget to enjoy the ride along the way! This is a role for someone who owns production stability end to end and knows that the best fixes often happen through other people. You won't be the one writing every manifest or resolving every incident yourself - you'll be the one who sees what production needs, sets the direction, and makes sure R&D teams follow through. What You'll Be Doing: Owning production stability: Act as the go-to person for the health of our production environments, proactively identifying risks before they become incidents. Owning the incident process: Make sure incidents are properly tracked, follow-ups are driven to completion, and R&D teams write and own their postmortems - turning lessons into lasting improvements rather than letting them slip. Driving change across R&D: Partner with engineering teams to define the reliability and operational improvements production needs, and make sure th

FEQ427R475 As a Field Engineering Manager , you will lead, coach, and scale a high-performing team of technical pre-sales Solutions Architects and Solutions Engineers across Eastern Europe. Positioned at the intersection of complex cloud architecture and enterprise business value, you will serve as a pivotal technical leader driving Databricks’ market expansion and customer acceleration across the EE region. In this role, you will partner with Enterprise Sales leadership to technical sales cycles, build strategic C-level alignment, and establish a repeatable technical motion. You will balance strategic regional planning with hands-on technical guidance helping your team architect modern Data & AI solutions while maintaining a bar-raising, inclusive engineering culture. The Impact You Will Have Scale & Enable Technical Talent: Hire, onboard, and mentor a top-tier pre-sales engineering team across Eastern Europe, maintaining a robust talent pipeline and fostering continuous technical enablement on the Databricks Data Intelligence Platform Drive Consumption-Based Growth: Partner closely with Sales leadership to accurately forecast, technically qualify, and accelerate enterprise sales cycles, linking technical validations (PoCs/PVs) directly to long-term consumption and measurable customer ROI. Cultivate Value-Engineered Solutions: Institute rigorous pre-sales methodologies that shift conversations from feature lists to strategic business outcomes, establishing your team as trusted architectural advisors to customer CTOs, CDOs, and Chief AI Officers. Build Executive & Strategic Alignment: Engage directly with key customer executives and regional System Integrator (SI) / Cloud Service Provider (CSP) partners to secure reference architectures, co-selling motions, and successful downstream implementation strategies. Foster an Inclusive, Builder-First Culture: Promote a customer-obsessed, highly collaborative engineering team culture rooted in technical curiosit

Who We Are Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed. We don’t just make bold promises—we deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise. While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award-winning onboarding experience welcomes and supports you from the moment you accept our offer. Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you. #UatInsurity What’s In It For U Work Where You Thrive: Find a hybrid work environment that allows you to enjoy great work life balance, stay connected and collaborative Generous Time Off : Our leadership believes in taking the time you need when you need it. Day One Health Benefits + Employer-Matched Retirement Savings : You might think these are table stakes, but we know these matter to you. More Than Just Core Values : Our values are fundamental in how we attract, train, and retain top talent. Award-Winning Onboarding Program : We set you up from the get-go to make a significant impact from Day One and follow you through your entire first year. Real Career Growth

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! We're looking for an Engineering Manager to lead our Deployment Engineering team. This isn't a typical management role — we need someone who leads from the front, gets their hands dirty, and drives impact. You'll manage a team of Forward Deployed Engineers who are on the front lines of deploying Cohere's North platform into customer environments. You should be ready to be a force to be reckoned with. Location: North America (remote-first) What You'll Do Lead and mentor a team of Forward Deployed Engineers Drive end-to-end deployment of North in private cloud and on-premises environments Take ownership of customer success from technical implementation through delivery Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises Mentor your team on cloud infrastructure, Kubernetes, and enterprise-grade deployments Optimize performance for OpenSearch, databases, and other K8s services Define scaling guidelines for GPU and CPU compute resources Build processes & technology that scales — we're growing fast. What We're Looking For 5+ years of experience in software engineering with demonstrate

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating A

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and embrace meaningful challenges, join us, and build real world value. Every payment, every custody operation, and every line of code at Ripple runs on the infrastructure our platform teams build. We operate a multi-cloud, Kubernetes-native environment spanning multiple regions and regulatory jurisdictions, engineered for the availability and security standards our financial institution customers expect — and for the developer velocity our engineers need. The systems this organization owns are the substrate for everything Ripple ships. We have a big vision and the ambition to match. We are seeking the same in engineering leaders. You see infrastructure not as plumbing but as leverage: the difference between an engineering organization that ships weekly and one that ships continuously, between a platform that survives a regional outage and one that d

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. THIS POSITION IS ONSITE LOCATED IN SAN ANTONIO, TEXAS. ACTIVE SECRET CLEARANCE REQUIRED IN ORDER TO APPLY. Role Description: Defense Unicorns is seeking a Platform Engineer to support the deployment and maintenance of UDS within a secure, bare-metal environment. You will serve as a bridge between application teams and the platform, advocating best practices and helping ensure that the platform is reliable, secure, and scalable. The ideal candidate is a strong problem-solver with hands-on experience in Kubernetes, bare-metal or on-premises infrastructure, and deploying applications onto Kubernetes-based platforms. Responsibilities: The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. Support the architecture, deployment, configuration, and testing of bare-metal infrastructure, including GPU compute, storage, and networking Deploy, configure, maintain, and troubleshoot UDS and Kubernetes-based platform services Develop and manage infrastructure as code (IaC) and configuration to enable consistent, repeatable deployments Support secure software delivery, including container images, registries, packages, and deployment artifacts Collaborate with mission stakeholders, partner organizations, and Defense Unicorns engineering teams to identify technical requirements and resolve deployment challenges Collaborate with mission stakeholders, partner organizations, and Defense Unicorns engineering teams to identify technical requirements and resolve platform challenges Travel Expectations/Requirements: 15-25% Preferred Experience and Qualifications: Active Secret clearance required. Experience deploying and operating Kubernetes or containerized platforms in bare-metal or on

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : The Control Plane Serverless team builds and operates the orchestration layer behind Elastic Cloud Serverless. Elastic Cloud Serverless is our fully managed offering, built on a stateless architecture that separates compute from storage and scales automatically with customer demand. We build the distributed services that create, configure, scale, and manage the lifecycle of Serverless projects on AWS, Google Cloud, and Azure, and we own Elastic Cloud on Kubernetes (ECK). Our stack is built on Kubernetes, Go, and cloud-native architectures. This is a Principal level role for an engineer who wants to shape where this platform goes next. Elastic is investing heavily in Serverless, building new capabilities for customers and expanding to more regions and cloud providers, while holding a high bar for reliability and security. You will set technical direction for this work, not just execute it. We are a distributed team of skilled engineers across the world. We work asynchronously by default, write things down, share context openly, and give engineers real ownership of hard problems. You will partner closely with our tech lead, engineering manager, and product management, and with teams such as Elasticsearch and Kibana on initiatives that span the whole stack. Day to day, you will shape technical designs and trade-off analyses, write

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud. Responsibilities: Model Safety Across Clouds Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces Drive our transparency commitments to customers and partners on data access, review, and enforcement Fraud & Abuse Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing Define the fraud signals we exchange with each cloud partner and turn th