As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate leaders to help us tackle the most interesting and challenging AI questions of our time. Our vision is bold and broad, to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all, consumers, businesses, developers, so that everyone can realize its benefits.
\nWe’re looking for a Data Infrastructure Manager to lead a team of talented engineers building and scaling the data infrastructure that powers Microsoft’s consumer AI. This role sits at the intersection of technical leadership and people management. You’ll set the technical direction for large-scale data and ML pipelines, AI agentic workflows, and intelligent systems while growing a high-performing team of ICs.
\nIf you’ve architected big data platforms from the ground up and are now ready to multiply your impact through others, including on some of the most exciting AI infrastructure challenges in the industry, we want to hear from you.
\nDeep technical expertise in big data and distributed systems A track record of leading and developing engineering talent A passion for automation, observability, and operational excellence The ability to translate complex technical strategy into clear, executable plans Empathy, collaboration, and a growth mindset
\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of Respect, Integrity, and Accountability to create a culture of inclusion where everyone can thrive at work and beyond.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nTeam Leadership & People Development Hire, mentor, and develop a team of Data Infrastructure Engineers, fostering a culture of technical excellence, ownership, and continuous growth. Conduct regular 1:1s, set clear goals, and provide actionable feedback to support each engineer’s career development. Build and sustain an inclusive, collaborative team environment aligned with Microsoft’s values of Respect, Integrity, Accountability, and Inclusion.
\nTechnical Strategy & Architecture Define and drive the technical vision for a scalable, reliable, and observable Big Data Infrastructure serving mission-critical AI applications, including agentic and intelligent systems. Lead technical design reviews, establish engineering standards, and ensure a clean, secure, and well-documented codebase. Partner with engineers to architect data solutions across storage, compute, and analytics layers, including the pipelines and orchestration frameworks that underpin AI agent workflows, balancing long-term scalability with near-term delivery.
\nPlatform & Operations Champion DevOps and SRE best practices across the team, including automated deployments, service monitoring, and incident response. Guide the team in building a self-service big data platform that empowers data engineers, researchers, and partner teams. Oversee robust CI/CD pipelines and infrastructure-as-code practices using tools like Bicep, Terraform, and ARM. Lead capacity planning and drive proactive resolution of bottlenecks in data pipelines and infrastructure.
\nCross-Functional Collaboration Act as a key technical partner to Data Engineers, Data Scientists, AI Researchers, ML Engineers, and Developers to deliver secure, seamless big data workflows. Collaborate with Security teams to uphold strong infrastructure security practices (IAM, OAuth, Kerberos). Represent the team in planning and prioritization discussions, translating organizational goals into actionable engineering roadmaps.
\nQualifications Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work OR equivalent experience.
\nPreferred Qualifications Master’s Degree in Computer Science or related technical field AND 10+ years of technical engineering experience OR Bachelor’s Degree AND 14+ years, OR equivalent experience. 5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering. 5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments. 5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize. Solid scripting and automation fluency in Python, Bash, or PowerShell. Proven track record managing CI/CD pipelines, release automation, and production incident response. Hands-on expertise with modern data platforms like Databricks, including deep familiarity with relational and NoSQL databases, key-value stores, Spark compute engines, distributed file systems (e.g., HDFS, ADLS Gen2), and messaging systems (e.g., Event Hub, Kafka, RabbitMQ). Proven experience with cloud-native infrastructure across Azure, AWS, or GCP. Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams. Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale. Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP.
\n#MicrosoftAI #MAIDPS #mai-datainsights #mai-datainsights
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_bd829e13-6ce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-data-infrastructure-manager-microsoft-ai-copilot-3/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$139,900 – $274,000 per year","x-skills-required":["Big Data and Distributed Systems","Data Infrastructure","DevOps","SRE","Platform Engineering","Distributed Systems","Containerized Application Deployments","Kubernetes","Helm/Kustomize","Python","Bash","PowerShell","CI/CD Pipelines","Release Automation","Production Incident Response","Modern Data Platforms","Databricks","Relational and NoSQL Databases","Key-Value Stores","Spark Compute Engines","Distributed File Systems","Messaging Systems","Cloud-Native Infrastructure","Azure","AWS","GCP","Agentic Workflow Infrastructure","Orchestration Frameworks","Retrieval Pipelines","Multi-Agent Systems","Web Stacks","TypeScript","Node.js","React","PHP"],"x-skills-preferred":["Master’s Degree in Computer Science or related technical field","10+ years of technical engineering experience","Bachelor’s Degree and 14+ years","Equivalent experience","5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering","5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments","5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize","Solid scripting and automation fluency in Python, Bash, or PowerShell","Proven track record managing CI/CD pipelines, release automation, and production incident response","Hands-on expertise with modern data platforms like Databricks","Proven experience with cloud-native infrastructure across Azure, AWS, or GCP","Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams","Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale","Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP"],"datePosted":"2026-04-24T12:14:06.598Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Big Data and Distributed Systems, Data Infrastructure, DevOps, SRE, Platform Engineering, Distributed Systems, Containerized Application Deployments, Kubernetes, Helm/Kustomize, Python, Bash, PowerShell, CI/CD Pipelines, Release Automation, Production Incident Response, Modern Data Platforms, Databricks, Relational and NoSQL Databases, Key-Value Stores, Spark Compute Engines, Distributed File Systems, Messaging Systems, Cloud-Native Infrastructure, Azure, AWS, GCP, Agentic Workflow Infrastructure, Orchestration Frameworks, Retrieval Pipelines, Multi-Agent Systems, Web Stacks, TypeScript, Node.js, React, PHP, Master’s Degree in Computer Science or related technical field, 10+ years of technical engineering experience, Bachelor’s Degree and 14+ years, Equivalent experience, 5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering, 5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments, 5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize, Solid scripting and automation fluency in Python, Bash, or PowerShell, Proven track record managing CI/CD pipelines, release automation, and production incident response, Hands-on expertise with modern data platforms like Databricks, Proven experience with cloud-native infrastructure across Azure, AWS, or GCP, Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams, Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale, Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5cad560f-dc3"},"title":"Engineering Manager, Cloud Networking (Brazil)","description":"You will join Airbnb's mission-driven company dedicated to helping create a world where anyone can belong anywhere. As the first Network engineering lead in Airbnb's Brazil office, you will be responsible for bootstrapping and growing the networking team in our new San Paulo office.
\nYour primary focus will be on delivering an Airbnb network platform that is flexible, efficient, always available, and scales with the needs of the business. You will work closely with peers across Cloud Infra, Security, Reliability, and many other partner teams across the company to achieve this goal.
\nKey responsibilities include:
\nAs a successful candidate, you will have a strong background in engineering management, with 2+ years of experience and 8+ years of relevant software development experience in a fast-paced tech environment. You will also have experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, as well as experience running large-scale networking systems and software (e.g. proxies, DNS, gateways).
\nAdditionally, you will have excellent communication skills and the ability to work well with teams across the engineering organization (e.g. reliability, compute, security, etc.). You will also have strong problem-solving skills and experience leading teams on-call for production infrastructure.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_5cad560f-dc3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7381450","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Professional fluency in English","2+ years of engineering management experience","8+ years of relevant software development experience in a fast-paced tech environment","Experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings","Experience running large-scale networking systems and software (e.g. proxies, DNS, gateways)","Experience with Istio service mesh, k8s and cloud native technologies","Excellent communication skills and the ability to work well with teams across the engineering organization","Strong problem-solving skills and experience leading teams on-call for production infrastructure"],"x-skills-preferred":["Experience with open source communities (e.g. istio)","Experience building cross-region gateways and load balancers for global services","Experience working with external partners and internal engineering and security teams to deliver edge security systems"],"datePosted":"2026-04-18T15:55:03.519Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brazil"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Professional fluency in English, 2+ years of engineering management experience, 8+ years of relevant software development experience in a fast-paced tech environment, Experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, Experience running large-scale networking systems and software (e.g. proxies, DNS, gateways), Experience with Istio service mesh, k8s and cloud native technologies, Excellent communication skills and the ability to work well with teams across the engineering organization, Strong problem-solving skills and experience leading teams on-call for production infrastructure, Experience with open source communities (e.g. istio), Experience building cross-region gateways and load balancers for global services, Experience working with external partners and internal engineering and security teams to deliver edge security systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c4307896-981"},"title":"Security Software Engineer, Detection & Response Platform","description":"About the role
\nWe're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.
\nResponsibilities:
\nYou may be a good fit if you:
\nStrong candidates may also have experience with:
\nLogistics
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_c4307896-981","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4595463008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000USD","x-skills-required":["Test-driven software development","CI/CD","Infrastructure-as-code","Query optimization for large datasets","Cloud infrastructure","Serverless architectures","Python","Security teams","Translation of requirements into technical solutions"],"x-skills-preferred":["SOAR platform/automation development","Data lake / Database architecture","API design and internal platform creation","ML/AI to security problems","Scaling security operations in a high-growth environment"],"datePosted":"2026-03-08T13:53:20.136Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Test-driven software development, CI/CD, Infrastructure-as-code, Query optimization for large datasets, Cloud infrastructure, Serverless architectures, Python, Security teams, Translation of requirements into technical solutions, SOAR platform/automation development, Data lake / Database architecture, API design and internal platform creation, ML/AI to security problems, Scaling security operations in a high-growth environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}}]}