Senior Software Engineer | UX Full Stack

📍 Job Overview

Job Title: Senior Software Engineer | UX Full Stack

Company: Microsoft

Location: Vancouver, British Columbia, Canada

Job Type: FULL_TIME

Category: Software Engineering / Full Stack Development

Date Posted: 2026-01-07

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• This Senior Software Engineer role focuses on building next-generation intelligent sports experiences leveraging AI across Microsoft's ecosystem, including Copilot, Windows, Bing, and Edge.

• The position requires a strong command of modern web technologies for architecting scalable, elegant, and enduring full-stack solutions with a primary emphasis on user experience (UX).

• Candidates will be instrumental in researching, evaluating, and championing the adoption of emerging technologies to enhance the UX engineering stack.

• This role involves translating complex user needs into intuitive, responsive, and accessible interfaces through close collaboration with Product Management, Design, and Engineering teams.

📝 Enhancement Note: While the input data is for a "Senior Software Engineer | UX Full Stack," this enhancement will frame it within an operations-adjacent context, focusing on how the development of user-facing features impacts downstream operational efficiency, data integrity, and user adoption of AI-driven sports content. The "operations" aspect here is interpreted as the operationalization of AI and UX strategies within a large-scale consumer product.

📈 Primary Responsibilities

• Provide technical leadership and architectural guidance for the development of robust, scalable, and intuitive full-stack solutions that enhance user experiences across web platforms.

• Deliver high-quality, maintainable, and secure code across both front-end and back-end layers, with a strong emphasis on performance and usability for millions of global sports fans.

• Drive innovation by actively researching emerging technologies, evaluating their potential impact on user engagement and AI integration, and championing their adoption to strengthen the UX engineering stack.

• Collaborate closely with Product Management, Design, and Engineering teams to translate user needs and AI capabilities into elegant, responsive, and accessible interfaces, ensuring engineering excellence and a cohesive user journey.

• Proactively identify, diagnose, and resolve technical issues across development and production environments to ensure a seamless, reliable, and data-accurate user experience for sports content consumption.

• Continuously improve development processes, tools, and frameworks to enhance team productivity, code quality, and the operational efficiency of delivering AI-powered features.

• Contribute to the operationalization of AI models and data pipelines that power personalized sports content delivery, ensuring scalability and performance.

📝 Enhancement Note: The primary responsibilities are expanded to highlight the operational implications of software development in a large-scale AI product. This includes focusing on scalability, reliability, and the integration of AI models, which are critical for the operational success of the product.

🎓 Skills & Qualifications

Education:

• Bachelor's Degree in Computer Science or a related technical field AND at least 4 years of technical engineering experience.

Experience:

• A minimum of 4 years of professional software engineering experience, including coding in languages such as C, C++, C#, Java, JavaScript, or Python.

• Proven experience in architecting and building scalable, high-performance full-stack solutions.

Required Skills:

• Proficiency in modern front-end frameworks such as React, Angular, or Vue, with a solid understanding of component-based architecture.

• Expertise in core web technologies including HTML, CSS, and JavaScript/TypeScript, with a focus on responsive design principles.

• Experience with back-end development using technologies like Node.js, .NET, or Python, including designing scalable APIs and microservices.

• Strong understanding of development processes, including agile methodologies, code reviews, and CI/CD pipelines.

Preferred Skills:

• Master's Degree in Computer Science or a related technical field, coupled with 6+ years of technical engineering experience.

• Alternatively, a Bachelor's Degree in Computer Science or related field with 8+ years of technical engineering experience.

• 5+ years of professional software engineering experience specifically with modern front-end frameworks (React, Angular, Vue) and deep knowledge of templating systems.

• 2+ years of dedicated back-end development experience with Node.js, .NET, or Python, showcasing a track record of designing robust APIs and microservices.

• Experience with cloud platforms such as Azure, AWS, or GCP, and familiarity with cloud-native development practices.

• Demonstrated ability to evaluate and adopt emerging technologies, frameworks, and tools to boost engineering velocity and product quality.

• Proven track record of effective cross-functional collaboration with Product, Design, and Engineering teams.

📝 Enhancement Note: The qualifications are detailed to reflect the "Senior" level, emphasizing architectural guidance, leadership, and a deeper understanding of both front-end and back-end systems, as well as cloud infrastructure. The AI-derived experience level of "5-10 years" is incorporated here.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a history of successfully delivering complex, full-stack web applications with a strong emphasis on user experience and performance.

• Showcase examples of architecting scalable solutions, including API design and microservices, that can handle high traffic volumes common in large consumer platforms.

• Present case studies that highlight your ability to research, evaluate, and implement new technologies or frameworks to solve specific engineering challenges.

Process Documentation:

• Provide examples of how you've contributed to improving development processes, such as code review standards, CI/CD pipeline enhancements, or testing methodologies.

• Showcase instances where you've proactively identified and resolved technical issues in development or production environments, detailing your diagnostic and problem-solving approach.

• If applicable, include examples of work related to operationalizing AI features, such as integrating AI models, managing data pipelines, or ensuring performance and reliability of AI-driven services.

📝 Enhancement Note: Given the role's focus on UX and AI, the portfolio requirements are tailored to showcase experience in building scalable, user-centric applications, implementing new technologies, and collaborating cross-functionally. The emphasis is on demonstrating a capacity for both technical execution and strategic innovation within a large-scale product environment.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Retirement savings plans, including company matching contributions.

• Generous paid time off (PTO), including vacation, sick leave, and holidays.

• Employee stock purchase programs and potential for performance-based bonuses.

• Access to Microsoft's extensive learning and development resources, including training, certifications, and tuition reimbursement.

• Employee discounts on Microsoft products and services.

Working Hours:

• The standard working hours for this role are 40 hours per week.

• Employees are expected to work from the office at least four days per week, with flexibility for remote work on one day, subject to local law and jurisdiction. This hybrid model aims to balance collaboration and focused work.

📝 Enhancement Note: The salary range is directly extracted from the input data. Benefits are inferred based on standard offerings for senior technical roles at large technology companies like Microsoft, and the working hours/remote status are detailed as per the provided information.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software & AI)

Company Size: Microsoft is a global technology giant with tens of thousands of employees worldwide, indicating a large, structured, and resource-rich environment for operations and development.

Founded: 1975. Microsoft has a long history of innovation, evolving from PC software to cloud computing and now AI, shaping the technology landscape.

Team Structure:

• The Microsoft Sports team is part of the larger Microsoft AI (MAI) division, suggesting a focus on cutting-edge AI development and integration.

• This role is within a software engineering team, likely comprising engineers, product managers, designers, and potentially data scientists, fostering a collaborative, cross-functional environment.

Methodology:

• The team operates with a strong emphasis on engineering excellence, data-driven decision-making, and user-centric design principles.

• Development likely follows Agile methodologies, with iterative cycles for feature development, testing, and deployment.

• A key methodology will be the robust evaluation and implementation of emerging technologies, particularly in AI and UX, to ensure Microsoft remains at the forefront of intelligent experiences.

Company Website: https://www.microsoft.com/

📝 Enhancement Note: Information on company culture, industry, and size is derived from general knowledge about Microsoft. The team structure and methodology are inferred based on the role's description within the AI and Sports domain at Microsoft.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Software Engineering IC4," indicating a senior individual contributor level. At Microsoft, IC4 typically signifies a highly skilled engineer capable of leading complex projects, mentoring junior engineers, and contributing significantly to architectural decisions. This level is crucial for driving innovation and ensuring the operational viability of sophisticated features.

Reporting Structure: The Senior Software Engineer will likely report to an Engineering Manager or Group Lead within the Microsoft Sports team. They will collaborate closely with Product Managers and UX Designers, acting as a technical lead for feature development and implementation.

Operations Impact: While primarily a development role, the Senior Software Engineer's work has significant operational impact. By building scalable, intuitive, and AI-powered features, they directly influence user engagement, content consumption, and the overall success of Microsoft's sports offerings. Their code and architectural decisions form the foundation for reliable, high-performance services used by millions, impacting operational efficiency and user satisfaction.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI integration, full-stack development, cloud-native architectures, or specific front-end/back-end technologies.

• Leadership Development: Transition into technical leadership roles, such as Tech Lead or Architect, guiding project direction and mentoring teams.

• Cross-Functional Mobility: Explore opportunities within other product groups at Microsoft, leveraging acquired skills in AI, cloud, or UX.

• Emerging Technology Exploration: Lead initiatives to research and integrate novel technologies, contributing to Microsoft's innovation pipeline.

• Mentorship Programs: Participate in or lead mentorship programs, sharing knowledge and developing leadership skills.

📝 Enhancement Note: The "Operations Career Level" is interpreted through the lens of how a senior individual contributor role impacts the operationalization and long-term success of a large-scale product. Growth opportunities are framed to encourage career progression within a technical track at a major tech company.

🌐 Work Environment

Office Type: This role is designated as Hybrid. Employees are expected to work from the Microsoft office in Vancouver, BC, at least four days per week. The remaining day offers flexibility for remote work. This model aims to foster collaboration, team cohesion, and in-person innovation while providing work-life balance.

Office Location(s): Vancouver, British Columbia, Canada. This location offers a vibrant tech hub environment with access to a strong talent pool and a supportive ecosystem for technology professionals.

Workspace Context:

• The workspace will be collaborative, encouraging interaction with product managers, designers, and fellow engineers to brainstorm, problem-solve, and iterate on features.

• Access to Microsoft's state-of-the-art development tools, cloud infrastructure (Azure), and internal platforms will be readily available to support efficient development and deployment.

Work Schedule:

• The typical work schedule is 40 hours per week, aligning with standard professional expectations.

• The hybrid model allows for a degree of flexibility in managing workdays, enabling individuals to balance in-office collaboration with focused remote work. This structure is designed to support efficient execution of development tasks and AI integration projects.

📝 Enhancement Note: The work environment is described based on the hybrid nature of the role and Microsoft's typical corporate culture, emphasizing collaboration, access to resources, and a structured yet flexible work schedule.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager may conduct an initial screening call to assess basic qualifications, interest in the role, and cultural fit.

Be prepared to discuss your experience with full-stack development, AI, and UX.

• Technical Interviews: Expect multiple rounds of technical interviews, likely including:

  • Coding Challenges: Live coding sessions or take-home assignments focusing on data structures, algorithms, and problem-solving skills in relevant languages (e.g., JavaScript, Python, C#).
  • System Design: A discussion or whiteboard session where you'll be asked to design scalable, robust systems, potentially related to AI-powered content delivery or user experience platforms. Focus on trade-offs, scalability, and reliability.
  • UX/Product Focus: Questions probing your understanding of user experience principles, how you translate user needs into technical solutions, and your approach to accessibility and responsive design.

• Behavioral Interviews: Questions designed to assess your fit with Microsoft's culture and values (e.g., growth mindset, collaboration, integrity). Prepare examples using the STAR method (Situation, Task, Action, Result) to illustrate your experiences.

• Hiring Manager/Team Lead Interview: A final discussion to gauge overall fit, career aspirations, and provide an opportunity for you to ask in-depth questions about the team and projects.

Portfolio Review Tips:

• Curate Selectively: Showcase 3-5 of your strongest projects that best represent your full-stack, UX, and AI-related capabilities. Prioritize projects that align with Microsoft's product domains (AI, consumer platforms, large-scale applications).

• Highlight Impact: For each project, clearly articulate the problem statement, your specific role and contributions, the technologies used, and the measurable outcomes or impact. Quantify results whenever possible (e.g., performance improvements, user engagement increases, efficiency gains).

• Demonstrate Process: Explain your development process, including how you approached system design, handled challenges, collaborated with teams, and incorporated user feedback or AI model integration.

• Technical Depth: Be prepared to discuss the technical architecture, code quality, and specific implementation details of your portfolio projects.

• UX Integration: Explicitly detail how user experience was considered and integrated into your development process, including any user research, usability testing, or accessibility considerations.

Challenge Preparation:

• Algorithm & Data Structures: Practice common coding problems found on platforms like LeetCode, HackerRank, focusing on efficiency and correctness.

• System Design: Study common system design patterns for scalable web applications, APIs, and cloud services. Consider how AI models would be integrated into such systems.

• Behavioral Scenarios: Prepare stories that demonstrate leadership, collaboration, problem-solving, handling ambiguity, and learning from failure, specifically relating to software development and UX challenges.

📝 Enhancement Note: The interview process and portfolio review tips are tailored for a senior software engineering role at a major tech company like Microsoft, emphasizing technical rigor, system design, UX understanding, and behavioral competencies.

🛠 Tools & Technology Stack

Primary Tools:

• Front-End Frameworks: React, Angular, or Vue.js (proficient knowledge expected).

• Back-End Technologies: Node.js, .NET, Python (experience required for API and microservice development).

• Languages: JavaScript, TypeScript, C#, Python, C++, C (proficiency in at least one of each category).

• Web Technologies: HTML5, CSS3, responsive design principles, accessibility standards (WCAG).

Analytics & Reporting:

• Cloud Platforms: Azure (highly preferred), AWS, GCP (experience with cloud services, deployment, and management).

• CI/CD Tools: Azure DevOps, Jenkins, GitHub Actions (for automated build, test, and deployment pipelines).

• Monitoring & Logging: Application Insights, Prometheus, Grafana, ELK Stack (for system health monitoring and issue diagnosis).

CRM & Automation:

• While not a direct CRM role, understanding how user data is managed and how applications interact with backend services and potentially data platforms is key.

• Integration Tools: Familiarity with RESTful APIs, GraphQL, and potentially message queues (e.g., Kafka, Azure Service Bus) for inter-service communication.

• Development Tools: Visual Studio, VS Code, Git (for version control).

📝 Enhancement Note: The technology stack is based on the required and preferred skills listed in the job description, with an emphasis on modern web development, cloud platforms, and development lifecycle tools commonly used at Microsoft.

👥 Team Culture & Values

Operations Values:

• Customer Focus: A deep commitment to understanding and meeting the needs of millions of sports fans worldwide, translating them into exceptional user experiences.

• Innovation & Growth Mindset: Continuously exploring new technologies, particularly in AI and UX, and embracing challenges as opportunities for learning and improvement.

• Accountability & Integrity: Taking ownership of code quality, system reliability, and project delivery, upholding ethical standards in all aspects of work.

• Collaboration & Inclusion: Working effectively across diverse teams (Product, Design, Engineering) to achieve shared goals in an inclusive environment where all voices are valued.

• Impact Driven: Focusing on delivering measurable impact through robust, scalable solutions that enhance user engagement and contribute to Microsoft's strategic objectives in AI and consumer experiences.

Collaboration Style:

• Cross-functional Integration: Close partnership with Product Management and UX Design to ensure technical solutions align with product vision and user needs.

• Peer Collaboration: Active participation in code reviews, design discussions, and pair programming to foster knowledge sharing and elevate code quality.

• Mentorship & Knowledge Sharing: Senior engineers are expected to mentor junior team members and contribute to a culture of continuous learning and technical growth across the team.

• Agile Teamwork: Embracing iterative development, regular stand-ups, and sprint retrospectives to optimize team workflow and delivery.

📝 Enhancement Note: Team culture and values are inferred from Microsoft's stated company values and the nature of a senior engineering role focused on consumer products and AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Scalability & Performance: Ensuring AI-powered sports experiences remain performant and reliable for a massive global user base, especially during peak events.

• Rapid Technological Evolution: Staying abreast of and effectively integrating rapidly advancing AI and web technologies to maintain a competitive edge.

• Cross-Functional Alignment: Navigating complex stakeholder requirements and ensuring seamless integration of UX, AI, and backend systems across different product areas.

• Balancing Innovation with Stability: Introducing new features and technologies while maintaining the stability and operational integrity of existing systems.

Learning & Development Opportunities:

• AI Specialization: Opportunities to dive deeper into AI/ML integration, model deployment, and user-facing AI features.

• Advanced Cloud Engineering: Further develop expertise in Azure services, microservices architecture, and cloud-native development practices.

• UX Leadership: Grow into roles that have a more direct influence on product strategy and user experience design through technical leadership.

• Industry Exposure: Access to Microsoft's internal training programs, external conferences, and research publications to stay at the forefront of technology.

• Mentorship & Career Pathing: Structured programs and informal guidance from senior leaders to navigate career progression within Microsoft's technical tracks.

📝 Enhancement Note: Challenges are framed around the specific demands of developing large-scale, AI-driven consumer products, while growth opportunities focus on technical advancement and leadership within Microsoft's ecosystem.

💡 Interview Preparation

Strategy Questions:

• Technical Architecture: "Describe a complex full-stack system you designed for high scalability. What were the key architectural decisions, and what trade-offs did you consider, especially regarding AI integration?" (Focus on demonstrating understanding of distributed systems, APIs, and AI model deployment patterns).

• UX & User Needs: "How would you approach translating a vague user requirement for 'more personalized sports scores' into concrete technical features and a user interface?" (Highlight your process for user research, feature ideation, and UI/UX design integration).

• Problem Solving & Debugging: "You've noticed a significant performance degradation in a feature after a recent AI model update. How would you diagnose and resolve this issue?" (Emphasize systematic debugging, use of monitoring tools, and understanding of both code and AI model behavior).

Company & Culture Questions:

• Growth Mindset: "Tell me about a time you had to learn a completely new technology or framework for a project. How did you approach it, and what was the outcome?" (Prepare examples showcasing your learning agility and proactive approach to skill development).

• Collaboration: "Describe a situation where you had a technical disagreement with a Product Manager or Designer. How did you resolve it to ensure the best outcome for the product and user?" (Focus on communication, compromise, and prioritizing user value).

• Microsoft Values: "How do you embody Microsoft's value of 'Growth Mindset' in your daily work?" (Connect your experiences to specific company values and demonstrate how you apply them in practice).

Portfolio Presentation Strategy:

• Storytelling: Frame your portfolio projects as compelling narratives. Begin with the problem, detail your technical and UX contributions, and conclude with the impactful results.

• Technical Deep Dive: Be ready to walk through the code, architecture diagrams, and key technical decisions for 1-2 of your most relevant projects.

• UX Focus: Clearly articulate the UX considerations for each project, including how you ensured accessibility, responsiveness, and an intuitive user flow.

• AI Integration (if applicable): If your projects involve AI or ML, explain how these components were integrated, managed, and contributed to the overall user experience or system functionality.

• Conciseness: Respect the interviewer's time by being concise and to the point, focusing on the most critical aspects of your work.

📝 Enhancement Note: Interview preparation advice is structured to align with senior software engineering roles at tech giants, emphasizing technical depth, system design, behavioral competencies, and effective portfolio presentation.

📌 Application Steps

To apply for this Senior Software Engineer | UX Full Stack position:

• Submit your application through the official Microsoft Careers portal via the provided link. Ensure your resume is up-to-date and highlights your full-stack development, UX, and AI-related experience.

• Tailor your Resume: Emphasize keywords from the job description, such as "Full Stack," "UX," "AI," "React," "Node.js," "Azure," and "scalable systems." Quantify your achievements with metrics where possible.

• Prepare Your Portfolio: Curate a selection of 3-5 projects that best showcase your skills in full-stack development, UX design integration, and any experience with AI or large-scale applications. Be ready to discuss your contributions, technical decisions, and project outcomes in detail.

• Research Microsoft's Sports & AI Initiatives: Familiarize yourself with Microsoft's recent developments in AI, Copilot, and how they are integrating technology into sports experiences. This will help you tailor your answers and demonstrate genuine interest.

• Practice Interview Questions: Review common software engineering interview topics, including data structures, algorithms, system design, and behavioral questions. Practice articulating your thought process clearly and concisely.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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