Overview
Are you passionate about containerized applications and cloud-native software development? If so, we have an exciting opportunity for you! Our resource provider team at Azure Kubernetes Service is at the forefront of innovation, leveraging cutting-edge technologies to deliver exceptional managed Kubernetes cluster solutions to Azure customers.
As a Principal Software Engineer on the Azure Kubernetes Service resource provider team, you will work on the orchestrator that provides and manages Azure customer's Kubernetes clusters. You will interact with and develop deep understanding of other Azure services, Kubernetes control plane, and cloud-native tool chain in general. You will be involved in designing and implementing solutions at a global scale. You'll lead projects and help mentoring junior teammates. Collaboration and flexibility are at the heart of our team. You can work 100% in office, 100% from home, or anywhere in between.
Microsoft’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.
Qualifications
Required 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, golang, or Python
- OR equivalent experience.
- 4+ years of experiences of operating and maintaining distributed infrastructure.
Other Qualifications:
- 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 Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 4+ years of coding experiences around Kuberneters, container infrastructure and cloud infrastructure.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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
Microsoft will accept applications for the role until June 13, 2025.
#azurecorejobs
Responsibilities
- Partners with appropriate stakeholders to determine user requirements for a set of scenarios.
- Leads identification of dependencies and the development of design documents for a product, application, service, or platform.
- Leads by example and mentors others to produce extensible and maintainable code used across products.
- Leverages subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to drive multiple group's project plans, release plans, and work items.
- Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
- Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.
