Senior Software Engineer - Azure Kubernetes Service at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

234700.0

Posted On

10 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Security, Kubernetes, Cloud-Native Technologies, Go Programming, Artificial Intelligence, Threat Modeling, Code Analysis, Incident Response, Automation, Design Reviews, Scalability, Reliability, Authentication, Authorization, Continuous Improvement

Industry

Software Development

Description

Overview If you are interested in system architecture and software development with a focus on security, the Azure Kubernetes Service (AKS) Security Operational team may be a great fit. This team is responsible for strengthening Microsoft’s infrastructure to deliver reliable services for a wide range of customers and Azure users. The work involves creating solutions that balance user needs with Microsoft’s security requirements, while contributing to a high-performing team environment. As a Senior Software Engineer on the Azure Kubernetes Service (AKS) team, you will help build secure, scalable, and reliable cloud-native infrastructure. Your focus will be on cross-cutting security concerns across the AKS stack, including designing and implementing secure-by-default features, improving threat modeling, and integrating artificial intelligence (AI)-assisted tooling to enhance security workflows. You will collaborate with engineers across the stack to build libraries, services, and automation that strengthen the security posture of AKS. This role is well-suited for individuals who are passionate about building secure systems, curious about AI-assisted development, and eager to grow as generalist engineers with a strong security mindset. You will have the opportunity to support others’ success, contribute to impactful solutions, and work in a collaborative environment that values continuous improvement and technical excellence. Responsibilities Design and implement secure, scalable components and libraries for Azure Kubernetes Service (AKS), contributing to cloud-native infrastructure that supports a wide range of workloads. Collaborate with security and engineering teams to identify and address cross-cutting security concerns across the AKS stack. Develop and integrate artificial intelligence (AI)-assisted tools to support threat modeling, code analysis, and incident response. Contribute to automation and tooling that improves the quality of security signals and enhances developer productivity. Participate in design reviews and help shape secure-by-default architecture decisions. Stay current with emerging trends in security, AI technologies, and developments in the Kubernetes ecosystem. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, OR Java, JavaScript, or Python OR equivalent experience. 4+ year(s) experience with Kubernetes, Go programming language (Golang), and cloud-native technologies. Other Requirements: 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 8+ 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ year(s) experience with Kubernetes, Go programming language (Golang), and cloud-native technologies. 4+ year(s) experience building and operating cloud-based and distributed systems, with a strong understanding of scalability, reliability, authentication, and authorization in production environments. 1+ year(s) experience working with artificial intelligence (AI) and agentic technologies, such as large language models (LLMs), autonomous agents, or AI-assisted development tools including GitHub Copilot, security analyzers, and anomaly detection systems. #azurecorejobs Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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.

Responsibilities

Design and implement secure, scalable components for Azure Kubernetes Service (AKS) while collaborating with security and engineering teams. Develop AI-assisted tools to enhance security workflows and contribute to automation that improves security signals.