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Azure SRE teams strive to improve reliability fundamentals via software engineering, preferring long-lasting platform improvements delivered as engineering projects over repetitive manual operations. We contribute to the product fundamentals and architecture, share knowledge, and code, and prefer reuse over re-invention, always looking for ways to make what we build useful to multiple teams and products.

We are not looking for people who know it all, we are looking for people who want to learn it all. We value the input of people who arent afraid to learn all the time and embrace mistakes as they continuously improve both our services and themselves. If you are excited by this type of challenge and you love to work in groups of people who are similarly excited: come join us!

Responsibilities
Collaborate with stakeholders to identify user requirements, incorporating feedback and actionable metrics into future designs.
Contribute to product architecture, helps create proposals, owns solutions, and ensures security and compliance. Assist in testing plans and automation features.
Implement code for products, services, or features with a focus on extensibility and maintainability. Review code for quality, reliability, and adherence to coding standards.
Execute project plans, break down work items, conduct experimentation, and support safe deployment of features.
Manage live service operations, act as a DRI on call, integrates telemetry data, and contributes to data analysis for system health.
Engineering Excellence: Improve developer tools, contribute to automation in production, ensure compliance with security and privacy, and stay current with industry developments.
Maintain communication with key partners across the Microsoft ecosystem to achieve desirable user experiences and meet the dynamic needs of partners and customers through product development.

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with Microsofts most strategic Healthcare and Life Sciences customers who are looking to leverage the latest technologies to address their toughest challenges. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with data scientists, program managers and engineers from your team and our customers teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers toughest challenges.

We are looking for a Data Scientist with expertise in developing statistical techniques to analyze data and find patterns. You will work cross-functionally with several teams including data scientists, engineering crews, product teams, and program management to deploy business solutions for Microsoft clients in the Healthcare and Life Sciences sector.

Our Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include our Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

​​Within Azure Data, the company`s Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. ​

​​Do you enjoy delivering value in a dynamic environment, and looking to make a big impact? Are you passionate about creating a service that will affect millions of business users every day?

The company`s Fabric team is building the new generation of big data + AI platform all the way from ingesting to visual insights like dashboards and reports, combined with the power of our Power BI in Azure and Office 365.

This job is an opportunity to work on a new and exciting service that we are betting on, be part of a vibrant team, and get proficient in the world of apps and services.
Our Fabric and Power BI are among the fastest growing segments of the software industry today which hold fascinating technological challenges of creating fast and rich ways to analyze huge masses of data. We are a leading player in the BI market both in terms of market share as well as in thought leadership and BI is a key investment for our company.

We are looking for an outstanding software engineer to join our rapidly growing team. If you love finding creative ways to leverage new technologies to make meaningful business impact, leading other engineers on that path, versatile and willing to work at all levels of the code stack, like talking to customers for feedback, have an uncompromised passion for sleek and delightful experiences and designs, and have a strong background and passion for cloud engineering this is the best place for you to be.

Azure SRE teams strive to improve reliability fundamentals via software engineering, preferring long-lasting platform improvements delivered as engineering projects over repetitive manual operations. We contribute to the product fundamentals and architecture, share knowledge, and code, and prefer reuse over re-invention, always looking for ways to make what we build useful to multiple teams and products.

We are not looking for people who know it all, we are looking for people who want to learn it all. We value the input of people who arent afraid to learn all the time and embrace mistakes as they continuously improve both our services and themselves. If you are excited by this type of challenge and you love to work in groups of people who are similarly excited: come join us!

Responsibilities:
Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures.
Lead by example and mentors others to produce extensible and maintainable code used across products.
Develop and evangelize insights, best practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.
Drive continuous improvements in the architecture, code, features, operations and comprehensive use scenarios of products by leveraging end-to-end technical expertise.
Make improvements to the product fundamentals and architecture, share knowledge and code, always looking for ways to make what we build useful to multiple teams and products. 
Demonstrates end-to-end expertise in distributed systems design, interactions between cloud technology layers.
Provide technical leadership in test maturity reviews, static analysis reviews, meetings, on-call rotations, and incident responses throughout product development and operations cycles.
Provides deep business and technical expertise as required to resolve major incidents.

The Fabric team is building the new generation of big data + AI platform all the way from ingesting to visual insights like dashboards and reports, combined with the power of our Power BI in Azure and Office 365.

This job is an opportunity to work on a new and exciting service that is betting on, be part of a vibrant team, and get proficient in the world of apps and services.

Our Fabric and Power BI are among the fastest growing segments of the software industry today which hold fascinating technological challenges of creating fast and rich ways to analyze huge masses of data. We are a leading player in the BI market both in terms of market share as well as in thought leadership and BI is a key investment for us.

We are looking for an outstanding software engineer to join our rapidly growing team. If you love finding creative ways to leverage new technologies to make meaningful business impact, leading other engineers on that path, versatile and willing to work at all levels of the code stack, like talking to customers for feedback, have an uncompromised passion for sleek and delightful experiences and designs, and have a strong background and passion for cloud engineering this is the best place for you to be.

We are looking for an outstanding software engineer to join our rapidly growing team. If you love finding creative ways to leverage new technologies to make meaningful business impact, leading other engineers on that path, versatile and willing to work at all levels of the code stack, like talking to customers for feedback, have an uncompromised passion for sleek and delightful experiences and designs, and have a strong background and passion for cloud engineering this is the best place for you to be.

Do you want to be a Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are an excellent engineer with a background in Big Data, and are passionate about engineering for Data Science, we would like to talk to you!

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.

Do you want to be a Senior Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.

Overview
Come and be part of the team building one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks.  From detecting and disrupting nation state actors to huge ransomware actors in action, our research team brings deep knowledge of the attacker landscape and tradecraft to create the innovations necessary to uncover and protect against even the most well-funded attacker. 

Your job as a Principal AI Architect is to design and build AI solutions that help our customers with their security needs by using the team's security research skills. You will work with security research, applied science and engineering teams to make it easier to use AI in their work. You will keep track of the newest AI developments and use them to tackle hard security research issues.

Responsibilities:
Lead the long-term AI strategy of the team, in collaboration with the different leaders.
Collaborate with security experts to integrate their insights into the AI roadmap.
Stay up to date with the latest advancements in AI, including LLM, GNN and Anomaly Detection, and apply these to solve complex cybersecurity challenges.
Contribute actively and work together with applied scientists to test hypotheses and implement ML models.
Provide technical leadership and mentorship to the AI team.

We are seeking a talented Applied Scientist with excellent technical skills and a desire to make significant impact through data and research. A successful candidate will be self-directed, generate novel ideas, plan, experiment, implement and ship to production efficient Machine Learning and AI solutions.

Responsibilities:
Develop ML models to detect and disrupt cyber-attacks.
Stay informed about the latest advancements in Machine Learning, including Large Language Models, Graph Neural Networks and Anomaly Detection, and apply these to complex cybersecurity challenges.
Collaborate with security experts to integrate their knowledge into ML models.
Work with truly Big Data sources to distil data for training of ML models.
Integrate your ML models with production systems, follow the results and iterate.