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We are looking for an Experienced QA Automation Team Lead with a strong background in designing, developing, and maintaining scalable test automation infrastructures.

Skilled in Python-based test development, modern automation frameworks, API testing, and Playwright for UI automation. Demonstrated ability to lead technical initiatives, guide automation strategy, and integrate innovative testing approaches - including leveraging AI models for intelligent validation, test optimization, and automation tooling. Adept at collaborating across engineering, product, and DevOps teams to improve quality, accelerate releases, and ensure robust system reliability.

Key Responsibilities
Automation Architecture & Infrastructure

Design, develop, and maintain a scalable automation framework using Python, aligned with product architecture and CI/CD pipelines.
Lead the creation of reusable libraries, tools, and test utilities to improve automation efficiency.
Evaluate and integrate new technologies, including AI-assisted test generation, model-based testing, and intelligent failure analysis.
Establish best practices for code structure, version control, and test maintainability.
Test Development & Execution

Build and maintain automated test suites for UI, API, backend, and integration layers.
Implement end-to-end UI automation using Playwright, focusing on reliability and parallel execution.
Develop robust API tests using Python-based tools (e.g., pytest, requests, FastAPI test helpers).
Ensure broad test coverage across functional, regression, performance, and security areas.
Quality Leadership & Strategy

Define the overall automation strategy and ensure its alignment with organizational quality goals.
Lead and mentor QA engineers, providing guidance in Python development, test design, and automation best practices.
Collaborate with product, development, and DevOps teams to refine acceptance criteria and testing standards.
Drive shift-left testing practices and promote automation as a core part of the development lifecycle.
CI/CD & DevOps Collaboration

Integrate automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Work closely with DevOps to enable test environments, containerized executions, and scalable cloud-based test farms.
Introduce quality gates and automated blockers to reduce defect leakage and speed up delivery.
AI-enhanced Testing & Innovation

Utilize AI models to enhance test creation, anomaly detection, log analysis, and flakiness reduction.
Develop internal tools using AI for automated test maintenance and failure triage.
Experiment with LLM-driven testing strategies (e.g., agentic testing flows, AI-driven mock generation).

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.
In this role, you will be part of a team developing Application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have multiple responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.You will also be responsible for performance analysis for an end-to-end networking stack using your knowledge.
The ML, Systems, and Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead an ASIC subsystem.
Understand how it interacts with software and other ASIC subsystems to implement data center networks.
Define hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Collaborate closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

we are looking for a Product Designer.
As a Product Designer, you will play a pivotal role in shaping our fan-first design vision . Youll join a team of designers to craft intuitive, engaging, and visually compelling user experiences that align with our brand and empower our global audience. Working closely with product managers, engineers, and stakeholders, youll translate complex user needs and business goals into elegant design solutions.
What Youll Do:
Lifecycle Ownership: Lead projects from concept through research, execution, and iterative improvements.
Design Leadership: Lead by example, providing mentorship, guidance, and fostering a collaborative and creative environment.
User-Centered Design: Drive user research to deeply understand our users needs, behaviors, and pain points, translating insights into impactful design solutions.
Design Excellence: Drive the creation of high-quality, visually appealing, and functional designs for web, mobile and our back-office platforms.
Strategy & Vision: Partner with functional leads to ensure alignment with business objectives and product goals.
Collaboration: Partner with cross-functional teams, including product managers, engineers, and data analysts, to deliver innovative features and enhancements.
Prototyping & Testing: Lead prototyping efforts and usability testing to validate design concepts and iterate based on feedback.
Stay Current: Keep up-to-date with industry trends, tools, and best practices, and integrate them into the design process.

Were looking for a highly motivated and experienced automation engineer with a strong passion for quality and performance. If youre passionate about quality and efficiency, then join our team. You will play an important part in Harmony SASEs product development process. You will create and implement strategy for quality coordination and automation testing, as well as suggesting solutions to identified quality problems.

You will also be responsible for designing, developing, and executing performance testing strategies for our cybersecurity solutions to ensure optimal performance and scalability. You will collaborate with development teams to identify performance requirements for new features and releases, and work with them to ensure that performance issues are addressed before they impact our customers. The successful candidate will have a strong technical automation background, experience with performance testing tools and methodologies, and a passion for delivering high-quality software. If you're a self-starter who is eager to learn and take on new challenges, we encourage you to apply.

Key Responsibilities
Create and maintain automation frameworks for the R&D products
Design, automate and implement test cases for a variety of products, using the latest technologies on the market
Develop and apply integrated testing processes for new and existing products, using the latest tools and technology
Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
Use different testing techniques and test-driven development strategies
Work hand-in-hand with manual QA to learn about the system and find ways to improve the automation flows
Creating testing tools to improve our QA capabilities
Build load and performance testing frameworks
Identify key KPIs for product quality
Challenge our methodologies and tools and strive to continuously improve
Monitor and analyze performance metrics to proactively identify potential issues
Experience with working and configure monitoring tools such as DataDog Grafana Etc.

We are looking for a Senior Algorithm engineer to join a high-velocity R&D team developing advanced Real-Time algorithms for mission-critical defense systems. The role focuses on designing, implementing, and evolving estimation, inference, and decision algorithms that operate under real-world constraints such as uncertainty, latency, partial observability, and adversarial conditions. You will take ownership of core algorithmic components from theoretical formulation through deployment in operational systems.
Responsibilities:
Design, implement, and maintain Real-Time estimation and inference algorithms operating on heterogeneous sensor inputs. Develop and tune probabilistic state-estimation models, including non-linear filters, adaptive models, and prediction mechanisms. Implement uncertainty management, gating, clustering, hypothesis handling, and state lifecycle logic. Integrate AI/ML components where they provide measurable value (classification, anomaly detection, decision support). Own algorithm performance across stability, convergence, latency, and numerical robustness metrics. Translate operational and system -level needs into mathematical formulations and deployable algorithms. Collaborate closely with system engineers and software teams to integrate algorithms into Real-Time command-and-control environments. Analyze operational data, simulations, and edge cases; iteratively refine models based on empirical performance. Participate in algorithm design reviews, trade-off analyses, and performance assessments.

Are you passionate about staying one step ahead of cyber threats? Do you thrive at the intersection of deep technical expertise and strategic leadership?
We're looking for an exceptional Offensive Security & Research Team Leader to drive cutting-edge offensive operations, lead a team of elite security professionals, and shape the future of cyber resilience.
In this role, you'll lead hands-on red team activities, threat research, and vulnerability discovery-pushing the boundaries of what's possible in cyber offense. You will work closely with product, engineering, and executive stakeholders to translate complex attack scenarios into real-world risk mitigation strategies.
This is more than a leadership position-it's an opportunity to build and scale a high-impact team at the forefront of the cybersecurity landscape.
Job Description:
Lead a high-performing offensive security team specializing in red teaming, threat emulation, advanced adversary simulation, and vulnerability research.
Mentor and grow team members, fostering a culture of continuous learning, innovation, and operational excellence.
Promote a culture of innovation, encouraging curiosity and technical excellence within the team.
Translate technical discoveries into operational insights that enhance offensive engagements and deliver clear value to clients
Collaborate cross-functionally with our cyber offensive and defensive teams
Develop and maintain internal tools and methodologies that enhance offensive capabilities, automation, and reporting accuracy.
Design and execute tailored offensive engagements, including full-scope red team operations, assumed breach scenarios, and social engineering campaigns.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.
In this role, you will use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing etc. You will develop/define design options for performance, power and area.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform RTL development (coding and debug in Verilog, SystemVerilog).
Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SoC-level.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Notifications are one of the most critical touchpoints our company has with its users-whether it is helping them find the right information, guiding them back to an app, or driving growth across the entire ecosystem. Our team is the engine room for all of this, responsible for building the data foundation that makes smart, reliable and high-quality notifications possible.
As a Software Engineer on the Notifications Analytics team, you will be a key player in solving some of the most complex, cross-functional challenges in our company's notification infrastructure.
The Core team builds the technical foundation behind our companys flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at our company. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across our companys products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Generate useful datasets for analyzing the quality of notifications sent by Apps.
Build tools for identifying and resolving data quality issues.
Work across teams, services and SDKs for supporting critical data needs and enabling key notification features.
Be the data expert and build understandable data flows.
Generate experiment analysis infrastructure and dashboards.

We are seeking a highly skilled and experienced Application Security Expert to join our dynamic team.

This role is pivotal in driving the security of our software development lifecycle and ensuring the robustness of our applications against potential threats. The ideal candidate will have a strong background in secure software development practices, including SSDLC implementation, and a deep understanding of security risks & tools.

Key Responsibilities
Contribute to design and implement a comprehensive Secure Software Development Lifecycle (SSDLC) framework.
Oversee the integration of security practices into all phases of the software development lifecycle, including CI/CD guardrails.
Conduct risk assessments and threat modeling to identify and mitigate potential security vulnerabilities.
Collaborate with development teams to ensure secure coding practices and adherence to security standards, while maintaining developer productivity.
Implement and manage security automation tools and processes to enhance the efficiency of security operations.
Stay up-to-date on the latest security trends, vulnerabilities, and technologies to continuously improve our security posture.
Provide expert guidance on security architecture and design for new and existing applications.
Promote a culture of security awareness and continuous improvement within the organization.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 be a part of Research and Development team to verify digital designs, develop constrained-random 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 corner-case testing.The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include our companyrs, our company Cloud customers, and billions of our companyusers worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
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.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation - building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.



Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.