Microsoft · 2 weeks ago
Member of Technical Staff - Principal Data Infrastructure Engineer
Redmond, WA
Full-time
Hybrid
Senior Level, Lead/Staff
$140K/yr - $275K/yr
6+ years expMicrosoft is a leading technology company focused on empowering individuals and organizations through innovative solutions. They are seeking a Member of Technical Staff - Principal Data Infrastructure Engineer to architect and maintain scalable big data infrastructure for AI applications, while championing DevOps best practices and collaborating with cross-functional teams.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Architect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications
Champion DevOps and SRE best practices—automated deployments, service monitoring, and incident response
Build a self-service big data platform that empowers data and platform engineers and researchers
Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM)
Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows
Lead technical design reviews and uphold a clean, secure, and well-documented codebase
Proactively identify and resolve bottlenecks in data pipelines and infrastructure
Optimize system performance across storage, compute, and analytics layers
Partner with Security teams to enhance system security (IAM, OAuth, Kerberos)
Embody and promote Microsoft’s values: Respect, Integrity, Accountability, and Inclusion
Qualification
Required
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, data modeling, or data engineering
OR 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
OR equivalent experience
Preferred
4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering
3+ years of hands-on experience managing and scaling distributed systems—from bare-metal to cloud-native environments
2+ years deploying containerized applications using Kubernetes and Helm/Kustomize
Solid scripting and automation skills using Python, Bash, or PowerShell
Proven success in CI/CD pipeline management, release automation, and production troubleshooting
Experience working with Databricks for scalable data processing and analytics
Familiarity with security practices in infrastructure environments, including IAM, OAuth, and Kerberos administration
Proven experience with cloud-native infrastructure across Azure, AWS, or GCP
Hands-on expertise with modern data platforms like Databricks, including:
Deep understanding of data storage and processing technologies:
Relational & NoSQL databases
Key-value stores
Spark compute engines
Distributed file systems (e.g., HDFS, ADLS Gen2)
Messaging systems (e.g., Event Hub, Kafka, RabbitMQ)
Capacity planning and incident management for large-scale big data systems
Solid collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams
Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP
Exposure to agentic workflows, deep learning, or AI frameworks
Practical experience integrating LLMs (e.g., GPT-based models) into daily workflows—automating documentation, code generation, reviews, and operational intelligence
Solid grasp of prompt engineering techniques to design, optimize, and evaluate interactions with LLMs
Demonstrated ability to troubleshoot and resolve complex performance and scalability issues across infrastructure layers
Excellent interpersonal and communication skills, with a solid passion for mentorship and continuous learning
Experience applying LLMs to DevOps workflows, enhancing incident response, and streamlining cross-functional collaboration is a solid advantage
Benefits
Certain roles may be eligible for benefits and other compensation.
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
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reference. (Data Powered by US Department of Labor)
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Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
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