1983 IT & Software Developer jobs in the US
Principal Data Infrastructure Engineer
$139,900 - 274,800
Microsoft Corporation
Northeast 36th Way, Redmond
$139,900 - 274,800
Requirements
Must:
- Masters Degree in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field AND 4+ years of experience in business analytics, data science, software development, data modeling, or data engineering
- OR Bachelors Degree in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field AND 6+ years of experience in business analytics, data science, software development, data modeling, or data engineering
- OR equivalent experience.
- At least 4 years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.
- 3+ years managing and scaling distributed systems from bare-metal to cloud-native environments.
- 2+ years deploying containerized applications with Kubernetes and Helm/Kustomize.
- Strong scripting and automation skills with Python, Bash, or PowerShell.
- Proven track record in CI/CD pipeline management, release automation, and production troubleshooting.
- Proficient with Databricks for scalable data processing and analytics.
- Understanding of security practices in infrastructure environments, including IAM, OAuth, and Kerberos administration.
- Experienced with cloud-native infrastructure across Azure, AWS, or Google Cloud Platform.
- Hands-on knowledge of modern data platforms such as Databricks and various data storage technologies, including relational and NoSQL databases.
- Experience with messaging systems like Event Hub, Kafka, or RabbitMQ.
- Familiarity with modern web stacks including TypeScript, Node.js, and React.
- Exposure to deep learning and AI frameworks, with practical experience integrating LLMs into workflows.
- Strong troubleshooting skills for performance and scalability issues across infrastructure layers.
- Excellent interpersonal and communication abilities, especially with a passion for mentorship and continuous learning.
- Experience enhancing DevOps workflows with LLMs is a significant advantage.
Responsibilities
- Design and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications.
- Advocate for DevOps and SRE best practices, including automated deployments, service monitoring, and incident management.
- Create a self-service big data platform that supports data engineers and researchers.
- Build robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools such as Bicep, Terraform, or ARM.
- Work closely with Data Engineers, Data Scientists, AI Researchers, and Developers to create secure and efficient big data workflows.
- Conduct technical design reviews and ensure a clean, secure, and well-documented codebase.
- Identify and address bottlenecks in data pipelines and infrastructure proactively.
- Enhance system performance within storage, compute, and analytics layers.
- Collaborate with Security teams to strengthen system security measures such as IAM, OAuth, or Kerberos.
- Embody and promote our core values: Respect, Integrity, Accountability, and Inclusion.
Description
At Microsoft, we are committed to pushing the frontiers of AI and are looking for enthusiastic individuals to join us in tackling the most intricate AI challenges of our time. Our ambitious vision seeks to create systems with genuine artificial intelligence applicable to agents, applications, services, and infrastructure. We strive for inclusivity, ensuring that AI technology is accessible to all—consumers, businesses, and developers alike—so they can harness its potential. In the role of Member of Technical Staff - Principal Data Infrastructure Engineer, you will engage in a dynamic combination of Platform Engineering, DevOps/SRE, and Big Data Infrastructure Engineering, focused on facilitating large-scale data and ML pipelines along with intelligent systems. We value a growth mindset and prioritize innovation and collaboration. This position is based in the U.S., where we expect our MAI employees within commuting distances to work from the office at least four days a week starting January 26, 2026, in alignment with local regulations.
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The company with most openings is Jobot as they are hiring for 133 different DevOps jobs in the United States. They are probably quite committed to find good DevOps.
The company with most openings is Jobot as they are hiring for 133 different DevOps jobs in the United States. They are probably quite committed to find good DevOps.