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The data & AI Division within Microsoft Activity is hiring a data Engineer. In this role, you will be a key contributor, building and maintaining advanced data infrastructure that supports critical projects across the organization. Youll work closely with IT and development teams to design, implement, and optimize scalable data solutions. What youll do:
* Develop and maintain ETL /ELT pipelines from multiple data sources.
* Work with SQL server, SSIS, Azure data Services (ADF, Synapse, data Lake), and other cloud platforms.
* Design, build, and optimize data Warehouses ( DWH ) and data models.
* Collaborate with teams across IT and development to deliver reliable and scalable data solutions.

We are looking for an R&D Group Lead to take ownership of the SaasLab group - leading multiple engineering teams responsible for the core platform services that every product of us depends on. You will drive the technical vision and execution or architectural transformation while ensuring the reliability and scalability of our SaaS foundation.

The position requires a strong architectural mindset, experience leading platform and infrastructure-level work, and the ability to balance long-term technical strategy with continuous delivery of business value.

What youll do:
Lead and mentor a group of engineers and team leads across multiple domains (core entities, access & API gateway, billing & integrations), fostering growth in design, architecture, and people leadership.
Own the SaaS platform end to end - ensuring high availability, security, and operational excellence of the systems that underpin every product.
Drive and execute an architectural transformation: decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like GraphQL Federation.
Work closely with product managers and cross-functional stakeholders, taking accountability for group deliveries and ensuring teams ship on time with excellent quality.
Lead technical initiatives, processes, methodologies, and architectural decisions across the group.
Drive AI Products development, SDLC and process improvements via cutting edge tools and methodologies.
Be a meaningful and major member of AFOS leadership team and influence the units engineering vision, processes, and culture

We are seeking a seasoned ASO Specialist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Develop and implement ASO strategies using textual and visual tools on App Store Connect and Google Play for multiple projects, localized in a broad range of languages
Prepare briefs for graphic and motion designers and closely collaborate with them to build engaging visual content (Icons, Promo Screens, Promo Video, Cover Images)
Formulate and test hypotheses to enhance conversion rates
Work with tools like App Store Connect, Google Play, and App Tweak for analytics
Conduct A/B testing in Apps Consoles
Provide regular updates on progress and effectiveness
Potentially, make small contributions to the projects social networks.

What youll do:
Take full ownership of products and features, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.
Rise to the challenge of sharing your expertise with the wider tech community. Whether speaking at meetups/conferences, penning insightful blog posts, contributing to existing open-source projects, or releasing new open-source software, your voice will shape and inspire others.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

What youll do:
Take full ownership, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into analysis and optimization of performance, scalability, and stability. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.

We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do:
Build Client-Facing Features: Design and implement high-scale product features for our premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

Were looking for a Data Analyst to join the Protect360 algorithms team and play a key role in researching fraud patterns, analyzing large-scale data, and supporting the development and monitoring of fraud-detection algorithms.
This role is highly R&D-oriented, with deep involvement in data exploration, algorithm analysis, and close collaboration with data scientists, engineers, and product partners.

A partial list of our tech stack includes: SQL, Python, Looker, BigQuery, AWS services, Airflow, and more.

What you'll do:
Analyze large, complex datasets to identify fraud patterns and emerging threats.
Design and write high-performance SQL queries for large-scale data analysis.
Use Python for data analysis, exploration, validation, and workflow automation.
Support the development, evaluation, and monitoring of fraud-detection models.
Build analytical tools, reports, and dashboards to track algorithm performance and fraud trends.
Collaborate with data scientists, engineers, and product managers on R&D initiatives.
Translate business and product questions into data-driven insights and recommendations.