Senior Software Engineer

We are looking for a Senior Software Engineer to join our team! Azure Edge + Platform brings together Edge platforms, devices, and services to deliver Edge solutions, operating systems, and engineering systems. Driven by its customers’ needs, Azure Edge + Platform seeks to accelerate growth for Azure, E&D, and Microsoft’s customers worldwide.

The organization’s portfolio spans the Cloud Edge Stack, Azure Engineering Systems, Azure Media Services - for end-to-end media workflow and analytics - and Microsoft’s Operating Systems including the Azure Host OS and Windows. This portfolio impressively powers the world with more than one billion monthly active devices.

Team Overview

Our mission is to provide end-to-end observability for cloud and edge, enabling all customers to efficiently operate and provide a high-quality experience with their apps, services, and infrastructure. We are looking for a Senior Software Engineer to help with our cloud-native observability efforts, with a particular focus on Kubernetes observability. Most new applications, including cutting-edge AI and machine learning workloads, are now developed and run on Kubernetes. Kubernetes and AI workload observability present unique challenges and exciting opportunities. We are dealing with distributed systems, microservices, and ephemeral workloads. We are responsible for building observability services and solutions for monitoring both the application layer (services, APIs, and business logic) and the underlying infrastructure (nodes, pods, networking, storage). Our customers include Microsoft, Fortune 500 companies, and startups. Our aim is to enable autonomous, integrated systems infused with artificial intelligence/machine learning (AI/ML) to proactively measure, monitor, detect, alert, diagnose, and mitigate health issues before they impact customers. 

We’re a diverse team of solid software engineers dealing with different technologies including Cloud Native tools and Open Source to deliver high-demand functionality to our customers. We are building high scale services for Kubernetes and Virtual machine monitoring, leveraging open-source technologies like Prometheus, eBPF and Open Telemetry.

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. 

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 3+ years of experience in designing, developing and shipping software/large scale services.
• Solid technical design, problem solving and debugging skills
• Ability to multi-task while balancing short term and long-term needs is essential

Other Requirements: 

• Cloud Background check: 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.

Additional or 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.
• Experience contributing to Cloud Native Technologies/Kubernetes/Prometheus
• Ability to deal with ambiguity, deliver in an agile environment, be willing to learn and adopt new technologies/industry trends and have good cross group collaboration skills.
• Experience building Azure or other Cloud services.
• Experience with building and maintaining Microservices

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 September 24, 2024. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Primary responsibilities include architecting, designing, coding and operationalizing observability services at hyper scale
• Produce crisp designs with tradeoffs, present and gather stake holder consensus.
• Guide other engineers by following established design and coding patterns, be the bar riser.
• Drive architecture improvements to reduce operational burden on services and team. Improve availability, reliability, efficiency, observability, and performance of products at scale.
• Crisply plan and communicate feature delivery schedule, risks.
• Embody our Culture and Values