Software Engineer Ii

Are you passionate about architecting building and maintaining next-generation platforms for real-time data delivery that power Microsoft s multi-billion-dollar advertising business On our team you ll design and evolve complex systems apply AI and next-gen technologies to solve modern engineering challenges and collaborate with Ads and Bing teams to enable new scenarios We re a fast-paced inclusive team that values innovation learning and impact If you re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent next-gen platforms we d love to work with you We re looking for a solid Software Engineer II to join our Microsoft Ads Engineering team where you ll help shape the future of ad delivery and monetization You ll work on systems that process massive volumes of data with strict latency and reliability requirements The problems you ll tackle include designing scalable APIs optimizing auction logic improving system observability and enhancing live site resilience You ll collaborate with product managers data scientists and engineers across disciplines to deliver impactful solutions that scale globally We re looking for engineers who are curious collaborative and passionate about solving complex technical challenges If you thrive in fast-paced environments care deeply about engineering excellence and want to build systems that make a measurable impact this is the team for you 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 Responsibilities Design and lead the implementation of large-scale applications and infrastructure for real-time data delivery diagnostics and monitoring Continuously refine data pipelines and system architecture to improve performance reliability and cost efficiency Analyze data telemetry and delivery logs to uncover insights that shape technical design feature roadmaps and long-term strategy 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 Support and mentor teams foster collaboration and uphold high standards of engineering professionalism and technical rigor 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 Java JavaScript or Python OR equivalent experience 4 years in golang Java solid SQL expertise Kafka Hadoop and product development experience including memory management multithreading and performance optimization cloud expertise AI Proficiency in data structures and algorithms with a solid grasp of system design principles Hands-on experience with distributed systems real-time data processing and streaming platforms like Kafka or Event Hubs Familiarity with cloud platforms preferably Azure including services for compute storage monitoring and diagnostics Experience with CI CD pipelines version control systems e g Git and build tools Exposure to AI ML tools and frameworks with the ability to apply them to engineering workflows and data-driven decision-making Knowledge of observability practices including telemetry structured logging and alerting systems 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 Master 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 Bachelor s Degree in Computer Science or related technical field AND 5 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 in golang Java solid SQL expertise Kafka Hadoop and product development experience including memory management multithreading and performance optimization cloud expertise AI Ability to be a collaborative team player with curiosity a growth mindset and a solid sense of ownership and responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative cross-functional teams and contribute to high-quality maintainable codebases Proven experience in shipping production-quality code in fast-paced environments 4 years of hands-on experience in realtime data delivery platforms distributed systems big data processing pipelines or large-scale applications Exposure to AI ML concepts and practical application of AI tools to solve modern engineering challenges 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 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 MicrosoftAI