Microsoft Logo

Microsoft

Principal Software Engineer

Reposted 3 Days Ago
Remote
Hiring Remotely in United States
143K-304K Annually
Senior level
Remote
Hiring Remotely in United States
143K-304K Annually
Senior level
Develops and maintains high-quality systems software and microservices for Azure Messaging services, including data storage and replication. Drives product and engineering-process innovation, applies AI to software development, ensures software quality and stability, and uses rigorous development practices including requirements, testing, and efficient coding techniques.
The summary above was generated by AI
Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 
 
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. 

 

​​Within Microsoft Fabric, the Real-Time Intelligence team enables organizations to act on data as it happens. By combining real-time ingestion, streaming, event processing, and observability signals, the team delivers capabilities that help customers detect patterns, respond to events, and drive immediate action. These experiences are tightly integrated into Fabric to support modern applications and operational decision-making in real time.​ 

​​If you are looking for a team that delivers software of the highest quality, running in a fleet of millions of vCores, following practices that minimize changes of bugs, if you value writing requirements, unit tests, being on the bleeding edge of using new languages like Rust and using AI to drive development? - then this is the team for you! 
 
The local store team, part of Azure Messaging develops critical microservices that power services like Azure Event Hubs, Service Bus and Event Grid. The team develops systems software that interacts closely with the OS and with Service Fabric. 
In this role, you would be driving innovation and efficiency in microservices that store the user's data for the Messaging services and replicate is as appropriate. 
 
The day-to-day work involves not only designing, implementing and maintaining features for these critical microservices, but also driving AI adoption and finding new and innovative ways of using AI to make software development even more robust and efficient. 
 

​​ 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. 


Responsibilities

​​Daily responsibilities include: 
 
- Follows rigorous processes of developing software to deliver features, while ensuring the highest quality and stability for the delivered software 
- Drives innovation both at product level and software development process level 
- Is very comfortable to leverage AI in any task 
- Adds significant value on top of AI development with their prior technical knowledge and experience 
- Drives adoption of efficient techniques in using AI to develop software 
​
 

Embody our culture and values 


Qualifications

Required/Minimum Qualifications 

​​Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.​ 

Job Requirements: Other & Additional  

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: 

  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 

Preferred/Additional Qualifications 

​​- Systems development experience (working with file system/networking stack, optimizing IOs, etc.) 
- A deep desire to leverage AI​
 



Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Mountain View, California, USA Office

1065 La Avenida, Mountain View, CA 94043, Mountain View, United States, 94043

Microsoft Palo Alto, California, USA Office

Palo Alto, United States

Microsoft San Francisco, California, USA Office

835 Market Street, Suite 700, San Francisco, CA 94103, San Francisco, United States, 94103

Microsoft San Jose, California, USA Office

San Jose, United States

Microsoft Sunnyvale, California, USA Office

Sunnyvale, United States

Similar Jobs

6 Hours Ago
In-Office or Remote
153K-205K Annually
Expert/Leader
153K-205K Annually
Expert/Leader
Fintech
Owns the enterprise AI engineering foundation, including shared AI platforms, semantic routing, model hosting, gateways, operations, agentic pipelines, and multi-agent orchestration. The role establishes architecture and standards, delivers secure production AI services, develops evaluation and governance capabilities, manages AI economics, prototypes emerging technologies, mentors senior engineers, and partners with security, risk, compliance, and data governance teams in a regulated financial and healthcare benefits environment.
Top Skills: Agentic WorkflowsAi GatewaysAi/MlClaude CodeDistributed TracingEmbedding-Based Intent AnalysisEvent-Driven ArchitectureGithub CopilotHipaaIso/Iec 42001LlmsMcpModel HostingModel OrchestrationMulti-Agent SystemsNist Ai RmfOnaRest ApisSemantic RoutingSoc 2
5 Days Ago
In-Office or Remote
202K-318K Annually
Senior level
202K-318K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides organization-wide technical leadership for Atlassian’s Trusted Data Platform and Data Exchange Platform. Defines architecture and multi-year strategy for cloud-agnostic distributed data infrastructure, streaming, compute, platform intelligence, reliability, and disaster recovery. Leads cross-team initiatives, resolves architectural ambiguity, establishes engineering standards, drives reusable platform capabilities, manages incident response, and mentors senior and principal engineers across distributed global teams.
Top Skills: Kubernetes
7 Days Ago
Remote
USA
250K-350K Annually
Entry level
250K-350K Annually
Entry level
Big Data • Fitness • Healthtech • Information Technology • Software • Analytics
Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.
Top Skills: Access ControlsAPIsCi/CdCloud InfrastructureDatabasesEncryptionInfrastructure As CodeKubernetesNetworkingObservabilityQueuesSlosStorage

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account