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The Edge AI group is composed builds Agentic platform designed to support complex scenarios, including RAG. In addition, the group is building Video analysis at the edge and the cloud (Azure Video Indexer) that allows customers to get insights from videos at scale. Products involve cross team collaboration between product managers, data scientists and backend / full stack Engineers



We focus on creating real value for our customers by placing AI efficiently on top of video streams at scale and building a UX that allows organizations to explore, interact with their data and integrate the solution into their own systems.


Individuals in the team get a chance to impact the industry working across various areas, our data science team leads research and implementation of AI components, full stack developers work on cloud and edge technologies from the design until features arrive to the customer. Being at the center of innovation provides great opportunities for engineering excellence in an amazing work environment in a team that will allow you to develop, grow and contribute.
Responsibilities
As a developer, your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to break down problems, build execution plan, have open mind and eventually be accountable to your code all the way to production. Working in a multi-disciplinary team will require great communication skills and at the heart of it all, alignment with Microsoft values.

The Infrastructure and Developer Platform (IDP) team within the Microsoft Threat Protection (MTP) organization builds and maintains the infrastructure and developer platform that all Defender products rely on, in an unmtachable scale. This platform allows engineers across MTP to more easily deploy their services, lower costs, and increase security and reliability across our fleet.
Responsibilities


Serve as a hands-on Kubernetes subject matter expert, driving architecture, design, and implementation of scalable, secure, and resilient AKS-based solutions.
Design and implement cloud-native security solutions using Azure technologies, with a focus on container runtime protection, policy enforcement, and threat detection.
Own and deliver production-grade services with high availability, reliability, and performance across global AKS deployments.
Develop and maintain CI/CD pipelines, secure build systems, and automated testing frameworks tailored for Kubernetes workloads.
Drive observability and telemetry improvements, including logging, monitoring, alerting, and incident response for services.
Identify and implement innovative approaches to secure Kubernetes workloads at scale, including leveraging AI/ML for anomaly detection.
Contribute to strategic initiatives that shape Microsofts container security roadmap and influence industry best practices.
Mentor junior engineers and contribute to engineering culture through code reviews, design discussions, and knowledge sharing.
Demonstrate ownership and accountability for end-to-end delivery of features and services.
Exhibit growth mindset by continuously learning and adapting to new technologies, threats, and customer needs.
Influence engineering decisions and drive impact beyond the immediate team