Product Security Engineer Jobs

P-1528 As a Staff Security Assurance Engineer within the Security Assurance Team, you will help lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives. You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard our customers. This role requires an active Top Secret Clearance, the ability to access and work within a SCIF environment, and residence within the Washington, DC metropolitan area. The impact you will have: Drive Project Outcomes: Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, federal authorizations, and compliance initiatives that expand Databricks’ reach across regulated and government markets. Accelerate Execution: Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment. Orchestrate Cross-Functional Decision Making: Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, Product, and Security teams to reach timely resolutions. Optimize Delivery Methodologies: Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile. Precision Program Management: Masterfully oversee project lifecycles—including milestones, dependencies, and risk mitigation—while providing executive-level transparency through accurate status reporting. Build Strategic Partnerships: Forge deep, collaborative relationships with Security Assurance Team subject matter experts and technical stakeholders

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection. Develop automation and detection tooling to continuously identif

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are seeking a Senior Software Engineer to join the Elasticsearch Security team. In this role, you will contribute to the architecture and design of Elasticsearch's main features. These features include authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic. Your goal is to participate in providing high-performance security at all levels. This includes ensuring that our distributed data store has top-quality security at scale. What You Will Be Doing Contributing to core security initiatives from architecture to production, focusing on the delivery of new critical features. Participating in the technical design, planning, and execution for major security components inside the Elasticsearch core engine. Developing the foundational security models for features. Optimizing security performance at scale in distributed systems environments. Applying cryptographic solutions to address genuine customer use cases. Ensuring robust data isolation within shared infrastructure supporting disparate customers. Monitoring and applying the latest advancements and best practices in security. This includes authentication, identity management, cryptography, and data access management. Collaborating with peers across the company to embed security into new customer features from the ou

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are seeking a Senior Software Developer to join the Elasticsearch Security team. In this role, you will contribute to the architecture and design of Elasticsearch's main features. These features include authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic. Your goal is to participate in providing high-performance security at all levels. This includes ensuring that our distributed data store has top-quality security at scale. What You Will Be Doing Contributing to core security initiatives from architecture to production, focusing on the delivery of new critical features. Participating in the technical design, planning, and execution for major security components inside the Elasticsearch core engine. Developing the foundational security models for features. Optimizing security performance at scale in distributed systems environments. Applying cryptographic solutions to address genuine customer use cases. Ensuring robust data isolation within shared infrastructure supporting disparate customers. Monitoring and applying the latest advancements and best practices in security. This includes authentication, identity management, cryptography, and data access management. Collaborating with peers across the company to embed security into new customer features from the outset

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are seeking a Senior Software Developer to join the Elasticsearch Security team. In this role, you will contribute to the architecture and design of Elasticsearch's main features. These features include authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic. Your goal is to participate in providing high-performance security at all levels. This includes ensuring that our distributed data store has top-quality security at scale. What You Will Be Doing Contributing to core security initiatives from architecture to production, focusing on the delivery of new critical features. Participating in the technical design, planning, and execution for major security components inside the Elasticsearch core engine. Developing the foundational security models for features. Optimizing security performance at scale in distributed systems environments. Applying cryptographic solutions to address genuine customer use cases. Ensuring robust data isolation within shared infrastructure supporting disparate customers. Monitoring and applying the latest advancements and best practices in security. This includes authentication, identity management, cryptography, and data access management. Collaborating with peers across the company to embed security into new customer features from the outset

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Principal Security Firmware Engineer on Micron's enterprise SSD team, you will design and develop security features that protect next-generation storage products against evolving cybersecurity threats. You will architect and implement cryptography-based solutions — including data encryption, Root of Trust, Secure Boot, Device Attestation, and Self-Encrypting Devices (SED) — while leading the transition to post-quantum cryptography for future product generations. This role spans the full Security Development Lifecycle, from threat modeling and architecture through implementation, testing, and certification. You will work across SoC, FPGA, and simulation platforms and collaborate cross-functionally to deliver security solutions aligned with industry standards including OCP, TCG, NVMe, and PCIe. Responsibilities Design and develop security features for Micron enterprise SSDs, protecting against cybersecurity threats across the product lifecycle Architect, implement, and debug cryptography-based security solutions including data encryption, Root of Trust, Secure Boot and Update, Device Attestation, and Self-Encrypting Devices (SED) Lead the transition to post-quantum cryptography algorithms (LMS, ML-DSA, ML-KEM) for next-generation products Implement security protocols aligned with OCP, TCG, NVMe, and PCIe specifications Debug security firmware on SoC, FPGA, and simulation platforms using tools such as JTAG, memory dumps, and bus analyzers Dri

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The AI Security team within Reddit’s Security Platform Engineering organization builds security into Reddit’s products, engineering systems, AI platforms, and operational infrastructure so the secure path is the easiest path for both people and agents. A core part of this work is developing practical, high-quality machine learning systems that detect and prevent risks such as prompt injection, jailbreaks, sensitive data exposure, and unsafe or unauthorized AI behavior. Building on Reddit’s centralized LLM Guardrails Platform, which provides a shared security and safety boundary across major products, we are expanding ML-powered protections as Reddit’s AI systems and threat landscape evolve. We are looking for a founding Staff Machine Learning Engineer to lead the development, training, and optimization of models for AI security at Reddit. This is a strategic and hands-on individual contributor role, combining deep ownership of model architecture, training data, and experimentation with technical leadership across teams. You will help Reddit deliver stronger AI protections while preserving a high-quality product experience. How You’ll Have Impact Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems. Build reproducible training and evaluation pipelines on Reddit’s ML platform, partnering with platform engineers to improve inference performance, resource efficiency, and operational reliability. Set the technical vision and multi-quarter modeling

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Software Engineer for our Anti-Abuse team within Security Foundations. This team is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform — building foundational security primitives across a complex multi-cloud environment to combat fraud, account takeovers, data exfiltration, and AI security threats at the scale of Snowflake’s hyper-growth. AS A SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS AT SNOWFLAKE, YOU WILL: Design, build, and scale security-by-default capabilities that protect Snowflake products across a complex multi-cloud environment Develop intelligent security platforms and services that leverage AI/ML and risk scoring to identify, prioritize, and respond to security threats and policy violations Build real-time detection and prevention systems to defend against account compromise, AI abuse, and data exfiltration through adaptive enforcement and granular policy controls Create security intelligence and monitoring capabilities that detect suspicious account & user activity, generate actionable insights, and enable timely response Partner across Security, Engineering, and Product teams to define security strategy, influence product design, and drive adoption of secure engineering practices Raise the

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase stores a large amount of digital currency making us a top tier target on the internet. Security is core to our mission and has been a key competitive differentiator for us as we scale. Security Platform Engineering ( SPE ) team is building platform capabilities for a variety of security use cases critical for security, compliance and privacy at Coinbase. Some of the key functional areas we are developing capabilities for are secrets and key management, identity access and management, onchain security, policy and risk management, vulnerabilities management enabling our product, compliance, security and services teams to protect Coinbase and our customers. What you’ll do: Architect and develop platform for security platform engineering org Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps Build new services to meet critical product and business needs using Golang / Java Design scalable systems to solve novel problems with modern cloud technology and industry best practices. Manage individual projects priorities, deadlines and deliverables with your technical expertise Mentor and train other team members on design techniques and coding standards Articulate a long term vision for maintaining and scaling our backend systems and the teams running them. Work with engineers, designers, product m

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API Security, code security (IAST and SCA), and AI-assisted ("agentic") onboarding, always measured by real product outcomes and operational telemetry. The Opportunity We're looking for a senior, polyglot engineer to contribute across several of our security libraries, with .NET or Java expertise. You'll design and build security integrations and detection features, take them from prototype to production-hardened, and own them operationally as they instrument thousands of applications. As a se

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are seeking a Principal Software Engineer to join the Elasticsearch Security team. In this role, you will lead the architecture and design of Elasticsearch's main features. These features include authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic. Your goal is to provide high-performance security at all levels. This includes ensuring that our distributed data store has top-quality security at scale. What You Will Be Doing Owning core security initiatives from architecture to production, focusing on the delivery of new critical features. Leading the technical design, plan, and execution for major security components inside the Elasticsearch core engine. Developing the foundational security models for intricate features. Optimizing security performance at scale in distributed systems environments. Applying cryptographic solutions to address genuine customer use cases. Ensuring robust data isolation within shared infrastructure supporting disparate customers. Monitoring and applying the latest advancements and best practices in security. This includes authentication, identity management, cryptography, and data access management. Collaborating with peers across the company to embed security into new customer features from the outset. Drive vulnerability management eff

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API Security, code security (IAST and SCA), and AI-assisted ("agentic") onboarding, always measured by real product outcomes and operational telemetry. The Opportunity We're looking for a senior, polyglot engineer to contribute across several of our security libraries, with .NET or Java expertise. You'll design and build security integrations and detection features, take them from prototype to production-hardened, and own them operationally as they instrument thousands of applications. As a se

The Security Libraries team owns the customer-side integrations behind Datadog’s run-time security products — App & API Protection , Workload Protection , and Code Security — shipping and maintaining security capabilities across seven open-source language libraries ( .NET , Java , Go , Node.js , Python , Ruby , PHP ) and a set of HTTP proxy integrations (Envoy, NGINX, and HAProxy), running inside thousands of production clusters worldwide. Recent work spans exploit prevention (RASP), WAF detections, API Security, code security (IAST and SCA), and AI-assisted onboarding. As Engineering Manager, you’ll lead part of this polyglot team, setting the technical bar and team culture while driving the pace at which new detections and AI-assisted capabilities reach customers. This is a hands-on role: you’ll balance people leadership, product and roadmap ownership, and the operational health of code that runs in production at massive scale, with room to grow into more of Datadog’s security portfolio over time. 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, grow, and develop a team of roughly 4-8 library engineers — coaching, giving direct feedback, and empowering senior ICs as technical leaders Own team delivery and productivity: planning, milestones, reviews, and the on-call rotation Set product direction with Product Management and balance priorities across App & API Protection, Workload Protection, and Code Security Stay technically close to the work — apply strong technical judgment, contribute code where it matters most, and keep quality and architecture high Build strong relationships and drive alignment across the language teams and product, backend, and frontend partners Shape team identity and culture, and own accountability when problems oc

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineer on the DX Security Components team , you will architect the backend services that safeguard Pure’s core authentication and remote access infrastructure. You’ll act as a security-minded engineer within a high-impact platform team, ensuring our cloud offerings and customer appliances remain auditable and resilient. Collaborating across the DX organization, you will bridge the gap between robust security protocols and seamless developer integration to protect our global customer base. WHAT YOU’LL DO Engineer Security Infrastructure: Design and operate high-availability backend services that manage authentication, authorization, and certificate lifecycles to ensure secure access across all Pure1 cloud and appliance environments. Drive End-to-End Ownership: Lead the full service lifecycle—from initial architectural design and threat modeling (STRIDE) to deployment, observability, and long-term cost efficiency. Champion Secure Integration: Partner with Security Governance and product teams to streamline remote-access flows, translating complex security requirements into pragmatic, automated workflows for other engineering squads. Ensure System Resilience: Maintain the integrity of security-sensitive systems by participating in a global follow-the-sun on-call rotation, performing root-cause analysis, and hardening infrastructure against emerging threats. Automate Trust: Evolve Infrastructure as Cod

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Role Overview As our lead AI/ML Engineer , you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets—including configurations, security alerts, and raw network logs—into production-ready AI capabilities that drive automated analysis, reasoning, and intelligent recommendations. Key Responsibilities Architect AI Systems: Design and deploy robust Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM applications tailored to parse and reason over security telemetry and unstructured logs. Model Development & Tuning : Train, fine-tune, and evaluate ML/DL models for pattern matching, anomaly detection, and classification across massive, heterogeneous security datasets. Ensure AI Trust & Alignment : Implement strict guardrails, evaluation frameworks, and safety alignment techniques to ensure all model outputs and recommendations are deterministic, safe, and highly accurate. Establish MLOps: Build and maintain scalable ML pipelines (from data preprocessing to model monitoring in production), collaborating closely with Data and Product Engineers to ensure low-latency, secure inferences. Required Experience & Ski