Detection And Mitigation Engineer Jobs

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team... We are seeking a highly skilled Senior Security Engineer to join our advanced Security Operations team. This role is focused on leading complex incident response and forensic investigations across Windows, macOS, Linux, and AWS environments while helping modernize security operations through automation and AI-driven capabilities. The ideal candidate is a hands-on security expert with deep AWS security expertise, strong threat detection and digital forensic skills, and experience leveraging AI and machine learning technologies to improve detection, response, and operational efficiency. You will play a key role in protecting critical assets, conducting high-impact investigations, mentoring team members, and driving the evolution of our security program against sophisticated and emerging threats. What You'll Get to Do... Lead high-priority incident response and forensic investigations, serving as the primary escalation point for advanced analysis, containment, recovery, root cause determination, and executive-level reporting. Drive threat detection and response across AWS, Windows, macOS, Linux, and endpoint security platforms, leveraging services such as GuardDuty, Security Hub, Detective, CloudTrail, IAM, VPC Flow Logs, and SentinelOne. Conduct malware analysis, host and cloud forensics, evidence collection, and threat hunting activi

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are searching for a passionate Staff Fraud Risk Analyst who is highly self-motivated, analytical, with a decent understanding of debit card fraud transactions and account takeover fraud strategies. This role will work on fraud strategies at banking transactional stages during customer journey, implement effective fraud strategies to help our platform to realize a safer, more transparent and secure environment. This role will work collaboratively with various stakeholders to ensure strategy performances while maintaining a smooth customer experience. By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team. What you’ll do: The fraud prevention analyst will help SoFi develop better data driven fraud decisioning by: Architect and scale robust table structures and analytics using expert-level SQL and Python to serve as the foundation for global risk detection and real-time reporting. Design sophisticated fraud decisioning strategies by synthesizing login, entity, and tokenization signals to neutralize complex threats like Account Takeover (ATO) and high-risk transactions. Lead cross-functional initiatives by translating

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As an Offensive Security Engineer within the Detection and Response team (DART), you'll engage in the offensive security assessments that strengthen our defense capabilities. Working closely with the larger InfoSec team, detection engineers, and external engineering partners, you'll identify security weaknesses, validate detection mechanisms, and provide actionable recommendations to enhance our security posture. You'll collaborate with various architecture and engineering teams to continuously validate and improve our security controls and detection capabilities, with a strong focus on developing repeatable testing frameworks and metrics-driven security improvements. You Have: 4+ years: of relevant professional experience in offensive security, with demonstrated experience in purple team exercises, breach attack simulation, and detection engineering collaboration. Development experience: proficiency in Python or Go for building security tooling and automation, including experience with SOAR platforms and configuration management. Security assessment expertise: performing full-stack security assessments of web applications, APIs, cloud infrastructure, and backend systems. Platform expertise

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as a Senior Software Engineer for Stytch, where you'll shape the next generation of fraud prevention products. About the job As a Senior Software Engineer you will help develop Stytch’s fraud detection and prevention products as we bring Stytch capabilities to Twilio’s full customer base, delivering secure, developer-first identity and fraud prevention experiences. You’ll primarily work on our Device Fingerprinting product that detects bots, manual abuse, and highly sophisticated reverse engineering to help protect our customers’ from fraud and abuse. You’ll partner closely with product and engineering leadership to evolve our detection techniques to continue to stay ahead of threats. This is a rare chance to operate like a startup within Twilio: you’ll work in a high-ownership environment with startup speed, backed by Twilio’s reach and scale. Responsibilities Build and own fraud detection capabilities for Stytch’s fraud platform

At Asana, security is foundational to our mission of helping humanity thrive by enabling the world's teams to work together effortlessly. Our security team protects Asana's employees, users, and customers by proactively addressing threats and fostering a culture of security throughout our product and operations. We are looking for a collaborative, innovative Group Tech Lead to join our security organization in Warsaw. This is a senior technical leadership role that sits at the intersection of offensive and defensive security — a true purple team visionary who will design and drive Asana's threat operations strategy from the ground up. You will set the long-term technical direction for how we detect, emulate, respond to, and continuously improve our defences against real-world adversaries. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Purple Team Strategy & Technical Leadership: Define and own the technical strategy for a fully integrated purple team function, bridging offensive (red team) and defensive (blue team) capabilities into a cohesive, intelligence-driven program. Adversary Emulation: Design and implement a structured adversary emulation programme based on real threat intelligence, ensuring red team exercises directly improve blue team detection and response playbooks while establishing continuous feedback loops. Security Maturity & Industry Standards: Lead Asana's security maturity journey, defining a roadmap that progressively advances capabilities toward frameworks and standards such as NIST CSF, ISO 27001, SOC 2, and MITRE ATT&CK maturity l

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. 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 architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. 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 architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. 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 architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for thoughtful problem-solvers and builders who want to make a meaningful contribution. Robinhood is a place where people take ownership of their work and help improve financial access for all. We operate with high standards, clear accountability, and a strong focus on security and ethics in everything we build! The Red Team’s mission is to identify and reduce real-world security risks across Robinhood by simulating adversary behavior and testing defenses. As a Staff Offensive Security Engineer, you will plan and execute security assessments across applications, infrastructure, and physical environments, and partner closely with engineering and security teams to strengthen detection and response capabilities. You will help prioritize risk, contribute to remediation efforts, and develop tools and techniques that improve how we test and secure our systems. Your work will directly support the safety and reliability of products used by millions of customers. This role is based in our Bellevue, WA, New York, NY, or Menlo Park, CA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Evangelize the Offensive Security Team’s Findings and Projects with stakeholders throughout the company and collaborate with other teams to create solutions that

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. Game Records are the core of our gaming conversation. It is the fuel that drives the most popular gaming features on Discord, and allows us to unlock new experiences for users and opportunities for game developers. The Game Records team is directly responsible for “source of truth” systems that drive detection and safeguard metadata for hundreds of thousands of games. This puts our team in a position to consult and participate in some of the biggest features, partnerships and game-related launches at Discord. Our engineering culture values collaboration, and this is exactly how this team works. Come and join us! What You'll Be Doing Engage with developers, game studios and other partners to find opportunities and address challenges towards providing a more rich experience for players while gaming and engaging with online communities. Partner with other internal teams to design, build, and maintain features that help users connect and make friends through gaming on our platform, across desktop and mobile. Expand and safeguard our growing collection of games and game-related metadata, that helps drive nearly every gaming

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 Capital provides access to fast, flexible financing to small-and-medium businesses on Stripe to accelerate their growth, and we lent over $1B in 2024. Businesses use the funds for marketing, team growth, geographic expansion, working capital, new equipment purchases, and much more. Machine learning is core to Stripe Capital’s business—we use information about businesses from their activity within and outside of Stripe and our models to automatically underwrite uniquely tailored financing offers to their needs, which banks are often unable to do. We are doing so through models with an established performance history, data infrastructure that is Stripe scale, and a strong feedback loop that includes explainability, anomaly detection and a risk portfolio management layer. We're an end-to-end team going from ideas to models to shipping in production. What you’ll do As a machine learning engineer for Stripe Capital, you'll be responsible for designing, building, training, evaluating, deploying, and owning ML models in production with the goals of providing financing opportunities to as many users as possible while satisfying financial performance goals. You'll work closely with software engineers, data scientists, product managers, and risk managers to operate Stripe’s ML powered systems, features, and products. You'll also contribute to and influence ML architecture at Stripe and be a part of a larger ML community. Responsibilities Design

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 The mission of Fraud Operations is to act as guardians of the global financial ecosystem by proactively reducing fraud, making it difficult and unprofitable for fraudsters to carry out attacks through Stripe. Fraud Ops is responsible for developing and maintaining scalable processes related to fraud analysis, card testing, account takeover, and financial partner investigation requests. We strive to improve manual fraud decisioning and enhance support experiences for users impacted by fraud decisions, all while enabling healthy growth for the business. What you'll do As a Payments Fraud Investigator, you will play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying various forms of fraud. You will conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and collaborate with stakeholders to enhance our fraud detection and prevention strategies at scale. Your expertise in fraud patterns and typologies will be essential in developing and enhancing investigative processes and programs. Responsibilities • Analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors. • Lead root cause analyses to identify gaps in current systems, policies, and strategies, and determine enhancements and process improvements to address emerging fraud risks through collaboration with key stakeholders. • Drive cross-functional project

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 The mission of Fraud Operations is to act as guardians of the global financial ecosystem by proactively reducing fraud, making it difficult and unprofitable for fraudsters to carry out attacks through Stripe. Fraud Ops is responsible for developing and maintaining scalable processes related to fraud analysis, card testing, account takeover, and financial partner investigation requests. We strive to improve manual fraud decisioning and enhance support experiences for users impacted by fraud decisions, all while enabling healthy growth for the business. What you'll do As a Payments Fraud Investigator, you'll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying various forms of fraud. You'll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and collaborate with stakeholders to enhance our fraud detection and prevention strategies at scale. Your expertise in fraud patterns and typologies is essential in developing and enhancing investigative processes and programs. Responsibilities Analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors Lead root cause analyses to identify gaps in current systems, policies, and strategies, and determine enhancements and process improvements to address emerging fraud risks through collaboration with key stakeholders Drive cross-functional projects aimed at refini

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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust. What you'll do We're looking for a Data Scientist to join the Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models from research to production, and you'll use data to surface insights that shape fraud strategy across the business. Data scientists on this team apply supervised and unsupervised machine learning, statistical mod