Senior Software Engineer

What you'll do

• Define and drive the technical vision and architecture for large-scale, complex systems ensuring scalability, reliability, security, and cost efficiency
• Hands-on contribution to core code, complex implementations, and production issue resolution
• Influence and align multiple teams and stakeholders across organizations through strong technical leadership
• Partner with Product Management and leadership to translate business goals into robust technical solutions
• Mentor engineers, raise the technical bar, and promote a culture of engineering excellence
• Continuously refine data pipelines and system architecture to improve performance, reliability, and cost efficiency
• Collaborate with Ads and Bing teams to enable new scenarios, integrate shared infrastructure, and deliver unified solutions
• Provide production support by fixing bugs and resolving live-site issues to ensure system availability and reliability
• Use AI tools and techniques to enhance engineering workflows, automate processes, and unlock new capabilities

Requirements

• BS degree in CS or related engineering field
• 6+ years hands-on experience with modern programming languages (C#, Java, C++, Python, Go)
• Strong SQL expertise
• Experience with Kafka and Hadoop
• Product development experience including memory management, multithreading, and performance optimization
• Cloud expertise
• AI knowledge
• Proven experience designing and operating distributed, cloud-based systems at scale
• Ability to influence without authority and drive alignment across multiple teams
• Strong expertise in system architecture, data structures, algorithms, and software design patterns
• Experience with microservices, data pipelines, or large data systems
• Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools
• Preferred: Experience with AdTech
• Preferred: Experience building high-throughput, low-latency, or mission-critical services
• Preferred: Deep knowledge of Azure or other hyperscale cloud platforms
• Preferred: Experience with data-intensive systems, machine learning platforms, or large marketplaces
• Preferred: Track record of leading major architectural initiatives or platform transformations
• Strong written and verbal communication skills, including technical design documentation
• Collaborative team player with curiosity, growth mindset, and strong sense of responsibility
• Exposure to AI/ML concepts and practical application of AI tools

Tech stack