Senior Software Engineer

Microsoft

1d•$119,800 - $234,700

About The Position

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 of thinking in a cloud-enabled world. Within Learn Product Engineering Team, we are seeking a self-motivated, technically acumen Software Engineer for Azure Full Stack development to develop enterprise-grade features impacting millions of learners around the world who rely on Microsoft Skilling platforms for consuming the learning and skilling content across various across platforms. The mission of the Global Skilling Product Team- (GSPT)- is to develop world-class, innovative Skilling Products & Experiences that inspire customers, partners, MCAPS sellers, and future generations to achieve more by skilling, upskilling, and reskilling, thereby reaching 100M+ learners. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their full potential each day. In doing so, we create life-changing innovations that impact billions of lives around the world. As the Senior Software Engineer for Azure Cloud development, you will serve as a hands-on engineer and technical authority, spearheading the design and implementation of sophisticated learning and skilling solutions that enhance our Microsoft Skilling platforms and Learning which aligns with the Strategic goals and key Objectives established by GSPT to reach 100M+ learners helping Ignite our Base and Lead with Learning. We envision a world where all skilling content will be accessible across various platforms leveraging the latest AI-assisted features.

Requirements

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#, Java, JavaScript, or Python OR equivalent experience.
4+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures, micro-services and DevOps model.
4+ years of experience coding in C#, and .Net.
4+ years of experience in Database development in Azure SQL, Cosmos DB, or Azure Data Factory (ADF).
4 + years of experience in one of the modern front-end frameworks such as React, Type Script, and Experience with Python, AI/LLM-based tools and frameworks, particularly for analyzing test failures and predicting root causes.
Experience in developing applications using RESTful APIs, microservices architecture, ASP.NET, Web API, and Azure AI Foundry, with a focus on scalable and intelligent enterprise solutions.
Knowledge of data structures, algorithms, and software design principles.
Effective communication and a track record of sharing knowledge with others through training and knowledge sharing sessions.
Experience optimizing cloud infrastructure for cost savings and operational efficiency.
Experience in enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, migrations, and technology management. Knowledge of tools like Azure DevOps or similar CI/CD platforms for integrating and managing test gates.
Production experience with two or more of the following domains; automated secret and certificate management, building private firewalled networks with VPNs, building and managing multiple automated K8s clusters, implementing a global multi-region tech stack, automating API gateways, or automated code first data pipelines (Azure Data Factory preferred).
Excellent communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Program Managers, and Data Scientists.

Nice To Haves

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 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 equivalent experience.
Certified Kubernetes Administrator (CKA) or equivalent certification a plus.
Microsoft Azure certifications (e.g., Azure Solutions Architect Expert, Azure Administrator Associate) a plus.

Responsibilities

Develop software features for Skilling platforms, including requirement gathering, architecture, application and database design, development, testing, and deployment, while enforcing engineering proficient practices to ensure high-quality, scalable, and secure solutions.
Leverage AI and develop Copilot features within the application to enhance user experience and productivity.
Establish and enforce proficient practices in coding, testing, and documentation to ensure high standards for code quality, performance, and service reliability.
Support and maintain existing services & integrations with Line of Business (LOB) applications across the enterprise.
Design, develop and maintain engineering infrastructure, tools, and services that power the Continuous Integration and Continuous Delivery/Deployment (CI/CD) for Microsoft Learning (Skilling) platform and services. Improve the reliability and debuggability of test frameworks by integrating automation and gates.
Develop and utilize AI/LLM models to analyze test failures, identifying root causes such as test flakiness or infrastructure issues.
Transition manual testing efforts currently handled by vendor Directly Responsible Individuals (DRIs) into automated processes.
Lead early in career Software Engineers, and collaborates with Product Managers, Designers and cross-functional teams to deliver high quality security solutions across platforms that ship to hundreds of millions of learners around the world.
Leads by example within the team by producing extensible and maintainable. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).
Applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and proficient practices. Work across organizations and directly with partners both in WWL and across Microsoft including other engineers and product leaders.
Drives identification of dependencies and the development of design documents for our security features. Identifies other teams and technologies that will be leveraged, how they will interact, and when one's own system may provide support to others.
Determines any dependencies associated with application or platform functionality for the solution/product area.
Understands up and downstream effects of solutions and work provided to ensure appropriate security and performance, drives reliability in the solutions, and optimizes dependency chains and retrieves across teams.
Drives identification of areas of dependency and overlap with other teams or team members and drives coordination.
Communicates across teams and resolves conflicts between teams.