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Cloud Apps and Identity Research team (CAIR) is looking for a Security Researcher with expertise about Identity based attacks and threats. The ideal candidate can demonstrate strong knowledge of common authentication protocols and technologies both on-prem and on cloud (e.g. Kerberos, SAML, Oauth, LDAP) and is familiar with Identity Providers' logs and internals (e.g. Entra ID, Okta). The job includes performing technical research to dissect identity attacks as observed from security research, incidents, threat landscape, customers reports and guide product and engineering teams to deliver optics, high-confidence detections and durable protection for customers.
Responsibilities
Analyze and understand the internals of authentication/network protocols and be able to independently reproduce identity-based attacks for investigation, study and research purposes.
Become a subject matter expert of investigation, collection, analysis and forensic of identity logs, including deep understanding of current trends and landscape of identity-based attacks and exploits
Collaborate with multiple product and engineering teams to design the next iteration of sensors, implement detection ideas and validate their effectiveness using a data-driven approach.
Work together with the different engineering teams to deliver the prototype and code to support the research findings.
Provide cybersecurity expertise as needed during security escalations and incidents to help protect Microsoft and our customers.

Proactively acts as the voice of the customer/partner and internal communities leveraging relevant insights from feedback tools and systems. Proactively identifies and/or translates customer/partner problems into industry solutions. Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Anticipates, identifies, escalates, and mitigates blockers using appropriate tools. Delivers solutions in line with company methodologies, ensuring proven practices and patterns are followed. Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion at scale. Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record. Leverages market insights and demand signals. Leads, mentors, and may assemble virtual teams using knowledge of Microsoft architectures and their context in the competitive landscape. Proactively identifies and anticipates gaps that enable solutions to scale across customers.
Responsibilities
Business Impact

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking). Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction. Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks. Executes work in compliance with industry and Microsoft guidelines and procedures. Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals.

We are an agile team of technical engineers. Customer obsession is rooted deep in every decision we take. We move fast, allergic to over thinking and fail fast. We believe in building solutions the right way and with a do what it takes attitude. We are a team, a family, that will always succeed only as one team where all voices are heard, and all opinions are welcomed.  
Responsibilities


This is a broad cross-team role with high visibility. You will collaborate closely with multiple teams across Microsoft to deliver key customer solutions and the technology to support them.

- Lead end to end design, implementation and delivery of the future architecture for highly scalable, durable, low latency systems.

- Build an effective and agile development organization using industry leading best practices.

- Lead the definition of requirements, KPIs, priorities and planning of engineering deliverables.

- Proven team building experience as well as mentoring and growing team members.

We believe in enabling our team members to unlock their highest potential and invest a lot in building a collaborative and agile culture to achieve our business success. Join us and be part of our path to the next level of awesomeness!!

Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

Join the innovative and quickly growing team at Unity-Aura, where we're building a groundbreaking, large-scale mobile platform. We're searching for an exceptional and passionate Android Team Lead to guide our talented developers in a fast-paced environment.
Our goal is to create a content discovery platform that reaches millions of users daily, offering unique and effortless ways for them to find their favorite content. At Aura, we're constantly using the latest Android technologies to build a scalable product that's growing fast.

This is an exciting chance for someone who wants to make a real impact on a challenging product with a huge audience, all while leading and mentoring a skilled team. We highly value leaders who champion technical excellence, encourage ownership, and know how to pick the right tools for the job.

What you'll be doing
Lead and grow an Android development team: You'll guide, mentor, and manage one of our Android development teams, building a strong culture of teamwork and constant improvement.
Drive architectural design: You'll lead the design and development of complex features, making sure the team produces clean, scalable, and high-quality code.
Oversee the full development cycle: This means you'll be in charge of the team's Android development efforts from start to finish, including design, actual coding, testing, and getting the product out to users.
Work closely with other teams: You'll team up with product managers, architects, DevOps, BI Engineers, and business teams to plan and carry out our clear product roadmap.
Ensure code quality: You'll regularly review code, giving helpful feedback to ensure our team sticks to best practices and high standards.
Keep us at the cutting edge: You'll stay on top of the newest trends in Android development, guiding the team to use innovative solutions and best practices that make our product better and our work more efficient.
Manage project delivery: You'll handle project schedules, resources, and priorities to make sure we hit our product milestones on time.
Boost communication: You'll make sure information and knowledge are shared effectively within your team and with other departments.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Develop and execute comprehensive validation plans for Google's custom silicon, covering functional, performance, power, and reliability aspects.
Design and build scalable validation test infrastructure, including hardware setups, software frameworks, and automation tools on Emulation or FPGA platforms.
Lead the debugging and resolution of silicon issues, collaborating with cross-functional teams such as design, architecture, software, and firmware.
Analyze validation data to identify trends, root causes, and opportunities for improvement in silicon quality and reliability.
Build and mentor a high-performing team of silicon validation engineers, fostering a culture of collaboration, innovation, and technical excellence.

Join our team working on an advanced ad-serving platform that powers millions of real-time interactions every second. As a Senior Backend Developer, youll play a key role in designing, developing, and maintaining a high-performance system that supports critical functionalities like targeting, attribution, budget management, and data pipelines for machine learning and reporting.Youll be expected to lead impactful projects, drive improvements in performance, scalability, and system reliability, and help shape solutions that directly influence the success of a globally recognized platform. We value bottom-up initiatives and encourage team members to bring their ideas to the table, fostering innovation and collaboration.
Why You'll Love This Role:

Take ownership of major projects and core features with significant business impact.
Work alongside skilled engineers in a fast-paced, high-scale environment.
Tackle challenging technical problems using cutting-edge tools like Kafka and Aerospike.
What you'll be doing
Design, develop, and monitor new features for the platform, including components supporting targeting, attribution, and budget management.
Maintain and optimize the performance of critical backend systems.
Refactor and improve legacy code to ensure scalability and efficiency.
Lead efforts to guarantee system reliability and low latency in a high-concurrency environment.
Collaborate with peers and across teams to deliver high-quality, production-ready solutions.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Responsibilities
Own and articulate a goal for a product portfolio, delivering environmental capabilities and solutions, helping businesses, mitigating and adapting to the changing environment and providing Google consumers timely environmental information, such as pollen and air quality levels.
Partner with Google Deep Mind, Google Research and Environmental experts to bring differentiated capabilities and solutions to market.
Lead your team to define success by establishing metrics and evaluation frameworks to assess environmental impact, particularly adaptation impact.
Collaborate with partner teams across Google, including Search, Pixel, Google Maps Consumer, Geo Auto, Android, Ads, etc., to create a customer need driven set of products to market that leverage shared technologies.
Inspire, lead, mentor, and grow a team of product managers focused on quality initiatives. Set clear expectations, provide coaching, and make effective talent decisions to build a high-performing team.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As an Executive CPU Design Verification Engineer, you will be a part of Research and Development team to verify digital designs, develop constrained-randomn test environments and drive system testing to closure. You will collaborate with design and verification teams, manage the verification life-cycle and uncover bugs through rigorous corner-case testing.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop and refine random verification environments using SystemVerilog/UVM or Specman to ensure effective test coverage.
Define and implement various coverage measures to capture stimulus and corner-case scenarios.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Senior Design Verification Engineer, you will work as a part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and drive verification closure.

In this role, you will verify digital designs. You will collaborate closely with design and verification engineers on projects and perform direct verification. You will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification, which can range from verification planning, test execution, to collecting and closing coverage.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and Universal Verification Methodology (UVM) or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

ironSource, part of Unity, is a leading large-scale ad network at the forefront of advertising technology. We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.

This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.

What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.