Key responsibilities include:

• Leading the team: owning the web roadmap, prioritizing and communicating clearly, and managing a lean team of web developers and designers
• Managing quality and reliability: owning the quality of everything that ships, designing and running planning around urgent issues, and building systems to keep marketing sites secure, performant, and compliant
• Managing our stack: overseeing Scale's integrations on web properties, managing relationships with web vendors, internal security, and IT teams, and regularly auditing the AI tooling

Ideal candidate will have:

• 4+ years in web management, digital operations, or a related field, including direct people management
• Technical fluency: comfortable in conversations about architecture, deployment pipelines, or front-end frameworks
• Experience managing AI integrations or APIs: genuine curiosity about how the underlying models work
• Operational instinct: keeps clean documentation, runs tight sprint cycles, and treats QA as a feature
• Calm under pressure: steadies the team when something breaks
• Ambitious and meticulous: motivated by achieving broader business results, and sweats the small details that compound over time into a reputation for quality

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

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In this role, you will work closely with Engineering and DevOps teams to design, implement, and maintain secure cloud infrastructure, CI/CD pipelines, and containerized environments.

You will play a key role in strengthening our security posture across AWS and GCP, automating security controls through infrastructure as code, and ensuring compliance with industry standards such as PCI DSS and SOC 2, enabling Yuno to scale securely in the global payments ecosystem.

Responsibilities:

• Design, build, and maintain secure and scalable internal security solutions and tools using Python to support security operations and strengthen technical controls.

• Improve and manage security configurations in AWS and GCP (including WAF, Security Hub, IAM policies, SIEM integrations and other critical services) to continuously strengthen our overall cloud security posture and ensure best practices are implemented.

• Implement and maintain security processes and technical controls that support compliance requirements (e.g., PCI DSS, ISO 27001/27701, SOC 2).

• Collaborate with different teams on cross-functional security initiatives, providing technical expertise and ensuring alignment with best practices.

• Explore and evaluate emerging technologies and architectures (e.g., AI integrations) to ensure secure adoption.

Skills You Need:

• 4+ years of hands-on experience in security engineering or similar technical security roles.

• Strong experience designing and developing security tools or internal products to support security operations using Python.

• Solid knowledge of AWS and GCP security services and configurations.

• Practical experience working with compliance frameworks (e.g., PCI DSS, ISO 27001/27701, SOC 2) in cloud environments.

• Strong problem-solving skills and the ability to communicate and collaborate effectively with cross-functional teams.

• Verbal and written English fluency.

Preferred Qualifications:

• Familiarity with SIEM platforms and security monitoring tools.

• Experience with Kubernetes and container security.

• Experience with infrastructure as code (e.g., Terraform, CloudFormation).

• Familiarity with emerging architectures (e.g., serverless, event-driven, AI integrations).

• Experience embedding security practices across the software development lifecycle, including CI/CD pipelines.

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The successful candidate will be the designated TL and lead the technical implementation of the GeminiApp web application, with a focus on the visual response rendering that is used across all the GeminiApp teams. They will lead a team of engineers spanning from the web client to the backend services.

Key responsibilities include:

• Architectural excellence: building bullet-proof web frameworks that are used by the team internally and externally to interface with XXXM+ DAU
• UI/UX innovation: collaborating closely with UX, PM, and other cross-functional partners to evolve GeminiApp into a natively AI-driven application
• Technical leadership: directing the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features
• Strategic cross-functional alignment: serving as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies

To succeed in this role, the ideal candidate will have:

• Proven experience as a technical lead with a track record of leading high-performing web-application engineering teams
• Extensive professional experience and expert-level proficiency in web applications/mobile mobile development, with a history of shipping complex, user-facing applications at scale
• Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners
• A passion for developing engineers, with direct experience in mentoring and career growth development
• Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders

Preferred qualifications include:

• Experience with Websockets/Real Time Applications
• Demonstrated Javascript/Typescript expertise
• Familiarity with LLM systems and AI integrations into consumer applications
• Experimentation Frameworks

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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You will be the key owner of the interface powering the Gemini machine learning models responses and how it is presented to the user. As a horizontal team, you will build bullet-proof web frameworks that are used by our team internally and externally to interface with XXXM+ DAU.

Collaborating closely with UX, PM, and other cross-functional partners, you will serve as a thought leader in the evolution of GeminiApp into a natively AI-driven application, effectively bridging the gap between imaginative vision and technical feasibility.

Direct the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features.

Serve as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies.

In order to set you up for success as a Staff Engineer at Google DeepMind, we look for the following skills and experience:

Proven experience as a technical lead with a track record of leading high-performing web-application engineering teams.

Extensive professional experience and expert-level proficiency in web applications/mobile mobile development, with a history of shipping complex, user-facing applications at scale.

Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners.

A passion for developing engineers, with direct experience in mentoring and career growth development.

Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders.

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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The ideal candidate has a solid background in AI (understanding how large language models work, prompt engineering, grounding techniques, when fine-tuning models is needed). While browser security domain knowledge is desirable, experience and expertise of AI integrations is paramount. This engineer will research new AI-driven vulnerabilities and implement practical mitigations to keep our users safe.

The role is highly collaborative and requires excellent communication skills to work with multiple internal groups and external industry partners on securing AI features for modern AI browsers. This role is about bringing top-tier AI security expertise into a browser security context. We need someone who can think like an attacker to anticipate how AI features could be abused, and act like an engineer to implement safeguards that make our browser and users safer.

In doing so, you will elevate the security posture of Edge’s AI capabilities and help shape industry-leading practices for securing AI in end-user applications.

Responsibilities:

• Partners with appropriate stakeholders to determine user requirements for one or more complex safety scenarios, including demonstration of security attacks, both practical contemporary attacks or future attacks.
• Provides technical leadership for the identification of dependencies and the development of design documents for Microsoft Edge and underlying AI platforms.
• Leads by example and mentors others to produce extensible and maintainable code used across the company.
• Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders to lead multiple product’s project plans, release plans, and work items.
• Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, monitoring system/product/service for novel security vulnerabilities.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the security baseline, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
• Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of experience in AI/ML security OR equivalent recent security expertise.
• Demonstrated ability to apply AI knowledge in practice including prompt engineering Or grounding Or model fine tuning
• Demonstrated ability to both break systems and discover novel security flaws as well as building safeguards to mitigate them.
• Experience with Modern browsers, especially chromium-based browsers.
• Experience representing a team in multi-stakeholder environments.

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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As one of Cursor's first Analytics Engineers, you'll work hands-on across the entire stack to build data products and drive strategic decisions across product, GTM, and research. You'll partner directly with founders and area leads on critical questions, collaborating with stakeholders who are eager to jump into SQL and dbt. Through this collaboration, you'll pioneer the next frontier of data: defining how Cursor itself transforms data science by building a data stack around Cursor Agent for self-serve analytics.

• Read our blogpost on measuring the impact of Semantic Search: https://cursor.com/blog/semsearch

What you'll do

• Partner with area leads in Finance, Growth, Product, and Agent Quality to understand their data needs and build foundational datasets.
• Up-level our data stack by evaluating new tooling and AI integrations, while partnering with Data Infra and product engineers to maximise the impact of existing tooling.
• Ensure the quality and reliability of data in our warehouse.
• Help guide a vibrant self-serve data culture to make self-serve insights accessible and trustworthy.
• Establish data culture and foundations as an early member of the data team and our first analytics engineer.

You may be a fit if

• You have at least 4+ years of full-time analytics engineering experience.
• You've been an early data member at a hyper-growth startup or research org. You know how to scale data from 10 to 50 data scientists.
• You've optimised queries for speed and cost on datasets that grow by billions of rows per day.
• You can write SQL and Python in your sleep.
• You care deeply about accuracy and detail.
• You're excited about the modern data stack and self-serve data.
• You're excited to build data products end to end, even if it requires going outside the original job description.

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