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Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
The Intuit Futures Organization is a team dedicated to pushing boundaries and driving innovation within the company. The team achieves this through a variety of means, such as experimentation, extensive research, POC and MVP initiatives. Through these methods, the team aims to develop and incubate emerging technologies, user experiences, and capabilities. By constantly exploring new ideas, the Intuit Futures team identifies and develops solutions that have the potential to be transformative to our customers, products, and business. The teams work ensures that Intuit remains at the forefront of innovation and can continue delivering valuable products and services that meet the evolving needs of our customers.As a Staff Full Stack Engineer within the Intuit Futures organization, you will play a pivotal role in driving innovation and developing cutting-edge products and technologies that benefit both our internal and external customers.
Responsibilities
Design and Development: Architect, design, and implement full stack web applications using modern technologies and best practices.
Collaboration: Work with product managers, designers, and other engineers to gather requirements, create technical specifications, and ensure successful project delivery.
Prototyping and Experimentation: Conduct experiments and build POCs to test new technologies and concepts, evaluating their feasibility, scalability, and impact.
Documentation: Create and maintain technical documentation related to architecture, design, and implementation details to facilitate communication and knowledge sharing.

Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation.

Meet the Team
Foundation AIs mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco.

About Robust Intelligence

Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the worlds largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024.

Your Impact
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!

Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety.
Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
Develop and train AI reasoning models for security applications.
Develop agentic models with the aim of automating security testing.
Author blog posts, white papers, or research papers related to emerging threats in AI security.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

Check Point Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of digital threats with a unified solution.

At Cyberint, we help organizations protect their digital presence by delivering cutting-edge Attack Surface Management (ASM) and Threat Intelligence (TI) solutions. As a member of our R&D organization, youll play a key role in ensuring the scalability, reliability, and performance of our cloud-native SaaS platform operating at scale.

Key Responsibilities
As a DevOps Engineer, you will be a core member of our DevOps & Infrastructure team, focused on building and maintaining distributed, scalable, and highly available systems in a dynamic SaaS environment. You will collaborate closely with development, QA, and support teams to enhance automation, improve CI/CD pipelines, and drive operational excellence across the board.

Key Responsibilities:

Design, build, and maintain infrastructure in a modern cloud-native SaaS ecosystem (primarily AWS).
Contribute to the scalability and reliability of distributed systems supporting high-volume data processing and real-time operations.
Develop and enhance CI/CD pipelines to support rapid and reliable deployments across multiple environments.
Implement and manage Infrastructure as Code (IaC) using Terraform for consistent, scalable infrastructure.
Operate and optimize Kubernetes (EKS) clusters to support distributed microservices architectures.
Monitor and respond to system alerts, troubleshoot issues, and contribute to incident prevention and response strategies.
Build self-service tools and automation frameworks to empower R&D teams and enhance delivery velocity.
Work cross-functionally with developers, QA, and support to ensure infrastructure meets evolving product needs.
Write and maintain scripts (Python, Bash) to automate recurring tasks and streamline operations.
Continuously identify and execute improvements in system performance, availability, and cost-efficiency.

We're looking for a highly experienced and motivated Networking QA Engineer with excellent problem-solving and debugging skills. If you're passionate about quality in the world of SASE solutions, then join our team.

You will be highly involved in SASEs development process, starting from the requirement gathering, prioritization, and documentation.
You will test our network-oriented features from its very early stage and will be able to affect its feature quality, ensuring that the code is always shippable.
You will work with first line network devices while constantly maintaining knowledge along with newest technology changes.
Key Responsibilities
Prepare and execute feature test plan for cross team features
Simulate and investigate customers use cases in complex network environments
Participate in Pre-Release Regression cycles
- Preparing the regression content of multiple teams in your domain
- Execute the regression together with your QA teammates
- Reflect status on progress
Lead your team to higher quality
- Monitor quality KPIs and processes of the team and work on mitigations when needed (such as escaping bugs, testing coverage, zero Bug policy etc)
- Mentor and monitor your team to follow best practices of SDLC with High Quality
- Investigate Escaping bugs and provide RCA
Review requirements, specifications and technical design documents to provide timely and meaningful feedback
Be able to reflect clear status on process