Staff Software Engineer - Security Agent

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. WHAT YOU'LL DO You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. RESPONSIBILITIES * Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. * Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. * Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. * Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. * Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. * Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. * Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. * Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. * Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company. * Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 10+ years of professional software development experience, or equivalent domain expertise, with a solid background in service-oriented architecture and large-scale distributed systems. * Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and mentor team members. * Experience building and operating production ML platform in one or more areas such as model training, model serving, orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency. * Strong product instincts and a deep understanding of the business context in which you operate. * Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. * Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software engineers, product managers, and business stakeholders. * The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments. * Hands-on experience using AI tools to accelerate how you work. PREFERRED QUALIFICATIONS * Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. * Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and model evaluation. * Experience rapidly developing prototypes and iterating based on user feedback. * Experience training and shipping machine learning models to production to solve critical business problems. * Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration, retrieval-augmented generation). * Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI). * Ability to synthesize ideas across the organization while setting a compelling technical vision. * Comfortable working with geographically distributed teams. * Passion for side projects, open source, or self-driven technical initiatives.

Datadog

This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.   What You’ll Do: * Lead the design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces. * Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes. * Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI application reliability. * Partner with product and engineering teams to improve investigation workflows and help customers discover insights more efficiently. * Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments. * Provide technical leadership and mentorship while helping establish AI engineering best practices across the Data Visualization organization and broader Graphing group.   Who You Are: * You have extensive software engineering experience and currently operate at or near Staff Engineer scope. * You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. * You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence. * You approach engineering through a product mindset and can connect technical decisions to customer outcomes and business impact. * You have experience collaborating across multiple teams and influencing technical direction without direct authority. * Experience with agentic systems, conversational interfaces, AI-assisted investigations, observability, data visualization, or developer tools is a plus. Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.   Benefits and Growth: * Product training to develop an in-depth understanding of our product and space * Continuous career development and pathing opportunities for internal mobility  * Intra-departmental mentor and buddy program for in-house networking  * An inclusive company culture, ability to join our Community Guilds * New hire stock equity (RSUs) and employee stock purchase plan * Free global mental health benefit through Spring Health  * Generous global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Yubico

MEET YUBICO Yubico is a global leader in identity security and creator of the YubiKey, the original hardware-backed passkey. Publicly traded on Nasdaq Stockholm with headquarters in Sweden, the US, and Singapore, we protect everyone from everyday consumers to global enterprises with modern, phishing-resistant authentication. Why Join Our Mission? At Yubico, we are guided by a shared belief that your work matters. We operate under a cultural philosophy of Speed with Integrity, pushing the boundaries of technology to secure the AI frontier—protecting both human and agentic AI interactions—and leading the transition to post-quantum cryptography. In everything we do, we live by our core values: * Battle Friction: We constantly look for new ways to simplify our products, our work, and the user experience. * Inspire Higher: We think big, champion the open internet, and strive to do the right thing even when it is difficult. * One Team: We are open, responsive, and collaborative, overcoming challenges and celebrating our successes together. Aligned with our commitment to open standards, we foster a thriving builder ecosystem through the Yubico Developer Program, offering free open-source repositories, libraries, and SDKs to help developers rapidly integrate strong hardware authentication into any application. Through close collaborations with technical partners like Google, Microsoft, and Amazon, as well as newer frontiers like OpenAI, we continue to shape a safer digital world while donating security keys to protect vulnerable communities, journalists, and humanitarian groups worldwide through our Secure it Forward program. At Yubico, We Offer Yubico Values: We work to ensure that our employees have an open space to have their voices amplified to create a workplace where everyone feels like they belong. In support of this, our employees have created some pretty cool Employee Resource Groups that foster inclusion, help build community and connection across Yubico which all employees are welcome to join. Additionally, Yubico donates YubiKeys to organizations in need all over the world (you can read more about our work here). Social Connection: Relationships and connectedness matter, and we love spending time with our team! Our virtual workspace keeps us connected day-to-day whether it's through Yubico celebrating wins or our buzzing Slack communities. Check out our Life at Yubico Page on LinkedIn and our awards here. THE ROLE Yubico is looking for a Software Engineer to join the Platform team working on Yubikey as a Service. It is an Enterprise solution that customers use to manage the lifecycle of their credentials and YubiKey deployment at scale. You should have a passion for building the platform for Enterprise-grade applications. We are looking for a teammate who is proactive, works well within and across teams, and has a desire to do things right and learn. You will develop the platform to support products used by many top Enterprise companies and will get to see your work in use right away. Tasks and Responsibilities:  * Understand, enhance, maintain, and grow the platform that powers our services * Develop your skills in designing and developing a testable, scalable and globally-distributed set of services used by a variety of Enterprise customers * Work collaboratively across functions - Product Managers, Security, Infrastructure, UX designers, Support * Work with a variety of technologies and increase your experience in many areas, ranging from cloud platform services and REST design to data compliance and web security * Work collaboratively with a tight-knit, multi-national development team to create well-architected software * Participate in an on-call rotation and gain experience supporting business-critical Enterprise services BASIC QUALIFICATIONS * 3+ years of software development experience (or equivalent) * Experience building commercial software * Experience with back-end software development * Experience working with relational databases * Experience with one or more common web-backend languages such as (but not limited to) Java, Kotlin, Go, Python, JavaScript (Node.js), C#, Rust BONUS QUALIFICATIONS * Hands-on experience with Go and/or Java/Kotlin * Hands-on experience in one or more of the following technologies: Kubernetes, Docker, Redis * Experience with one of the three major cloud platforms * Authentication and authorization technologies, modern security practices   #LI-IR1 We are an equal opportunity employer, we value diversity and uphold an inclusive environment where all people feel that they are equally respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity or expression, age, marital status, religion, national origin, disability, protected Veteran status or any other characteristic protected by law. We'd love to learn about what you can add to our diverse team. We are an E-Verify Participating Employer.   Yubico does not accept agency resumes or referrals so please do not send them to our careers staff or employees. Yubico is not responsible for any fees related to unsolicited resumes or referrals.   Personal data submitted through this form is used for managing Yubico’s recruitment activities, which include facilitating any application you make, setting up and conducting interviews and tests for applicants, evaluating and assessing results and selecting candidates, and as otherwise needed in our recruitment and onboarding processes. The use of your personal data may also be necessary prior to entering into a contract with you (that is prior to offering you a job with Yubico). Your personal data will only be used for the purposes for which it was collected and in accordance with the Yubico Privacy Notice. We only keep your personal data for as long as necessary and in compliance with Yubico’s record retention policies. If you have asked us to, we will keep you informed of other opportunities at Yubico. We do this in various ways, including email and by phone. If at any time you do not want us to contact you or use your information as described herein please contact us at jobs@yubico.com to let us know and we will delete all such information. Providing your personal data is voluntary, but necessary to join our talent community, and if you do not agree to provide your data, we will not be able to consider you as part of our talent community.   As part of providing the requested service, we will transfer your data to be processed by Greenhouse Software Inc., a service provider contracted by Yubico AB and/or its subsidiaries that meets legally mandated privacy requirements. The Yubico Privacy Notice offers more information about Yubico privacy practices, including the lawful basis for processing of personal data, how to lodge a complaint with the supervisory authority, and how to contact Yubico to exercise your data subject rights. In this notice, when we refer to "Yubico", "us", "we" or "our", we mean the Yubico group company or companies that you apply to, or correspond with, and which are responsible for any personal data collected about you.