Security Operations Data Loss Prevention Engineer Jobs

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Specialty Sales Account Executive to join our team. This is a hybrid role based in Japan, reporting to the Regional Vice President - Zscaler Sec Ops in the Sales and Go-to-Market department. You will be part of a global group of professionals dedicated to demonstrating the power and agility of cloud transformation while cementing our position as the world leader in cloud security. Your mission is to nurture trusted partnerships and share expertise to lead customers toward a secure, cloud‑enabled digital future. What you’ll do (Role Expectations) Serve as the primary expert for customers, partners, and internal sales teams to drive revenue growth within the Zscaler Sec Ops product portfolio Partner with domain expert solution engineers to gather customer requirements, create compelling value propositions, and close business alongside the primary account team Own the Zscaler Sec Ops quota for your as

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. 役割 セールスと市場開拓（Go-to-Market）部門の一員としてご活躍いただける、アカウント エグゼクティブを募集しています。この職務は日本を拠点とし、リージョナルディレクター直属となります。 世界中のプロフェッショナルと連携しながら、お客様の期待を超える価値提供を実現し、安全でクラウドを前提としたデジタルの未来を推進していくポジションです。 また、Customer Success／Enablement／Architecture各チームと密に協働し、Zscalerが実現するクラウド・トランスフォーメーションの力を提案・体現することで、クラウドセキュリティ分野のグローバルリーダーとしての当社のポジションをさらに強固なものにしていただきます。 業務内容 (役割と期待されること) ・顧客の経営幹部を含む主要な関係者との信頼関係を構築すること。 ・顧客の目標に基づく長期的なアカウント戦略を設計すること。 ・社内関係者との連携による顧客ニーズを反映したアカウント計画を策定すること。 ・ 顧客のビジネスを理解し、具体的な目標を掲げ、Zscalerソリューションを提案し、信頼できるパートナーとしての役割を発揮すること。 求める人物像 (成功のための資質) 不確実さを力に変えられる人 ：正解が見えない状況でも前に進むことが出来る方。歩きながら道をつくることに前向きで、曖昧さを「障害」ではなく、価値あるものを生み出すための素材として捉えられる方。 オーナーシップを持って動ける人 ：ミッションへの熱意が行動力につながり、自ら意思決定し、最後までやり切ることが出来る方。成果に本気で向き合うからこそ誠実にふるまい、戦略の議論から現場の実行まで、必要に応じて自在に行き来できる方。 課題解決を楽しめる人 ：難しい課題ほど熱意をもって取り組める方。課題に集中し、解決までやり抜くことで最大のインパクトを生み出せると知っている方。 信頼をつくるコラボレーター ：自分の成功だけでなく、チームの成功にコミットできる方。明確さと敬意のある率直さを大切にし、フィードバックを「与える・受け取る」を継続できる方。これこそが最高のチームワークであり、信頼を最速で築く方法だと理解している

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. 役割 セールスと市場開拓（Go-to-Market）部門の一員としてご活躍いただける、アカウント エグゼクティブを募集しています。この職務は日本を拠点とし、リージョナルディレクター直属となります。 世界中のプロフェッショナルと連携しながら、お客様の期待を超える価値提供を実現し、安全でクラウドを前提としたデジタルの未来を推進していくポジションです。 また、Customer Success／Enablement／Architecture各チームと密に協働し、Zscalerが実現するクラウド・トランスフォーメーションの力を提案・体現することで、クラウドセキュリティ分野のグローバルリーダーとしての当社のポジションをさらに強固なものにしていただきます。 業務内容 (役割と期待されること) ・顧客の経営幹部を含む主要な関係者との信頼関係を構築すること。 ・顧客の目標に基づく長期的なアカウント戦略を設計すること。 ・社内関係者との連携による顧客ニーズを反映したアカウント計画を策定すること。 ・ 顧客のビジネスを理解し、具体的な目標を掲げ、Zscalerソリューションを提案し、信頼できるパートナーとしての役割を発揮すること。 求める人物像 (成功のための資質) 不確実さを力に変えられる人 ：正解が見えない状況でも前に進むことが出来る方。歩きながら道をつくることに前向きで、曖昧さを「障害」ではなく、価値あるものを生み出すための素材として捉えられる方。 オーナーシップを持って動ける人 ：ミッションへの熱意が行動力につながり、自ら意思決定し、最後までやり切ることが出来る方。成果に本気で向き合うからこそ誠実にふるまい、戦略の議論から現場の実行まで、必要に応じて自在に行き来できる方。 課題解決を楽しめる人 ：難しい課題ほど熱意をもって取り組める方。課題に集中し、解決までやり抜くことで最大のインパクトを生み出せると知っている方。 信頼をつくるコラボレーター ：自分の成功だけでなく、チームの成功にコミットできる方。明確さと敬意のある率直さを大切にし、フィードバックを「与える・受け取る」を継続できる方。これこそが最高のチームワークであり、信頼を最速で築く方法だと理解している

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview Join a team responsible for building the authentication and security solutions that help protect digital interactions across Mastercard's Identity Solutions platform. As a Senior Software Engineer, you will design, develop, and support secure, scalable, and high-performing applications that enable trusted identity verification, authentication, and fraud prevention capabilities. In this role, you will take ownership of complex technical challenges, contribute to software design and architecture decisions, and partner closely with product, security, and platform teams to deliver reliable, production-ready solutions. You'll play a key role in advancing engineering excellence through secure development practices, system reliability, automation, and continuous improvement while mentoring other engineers and influencing technical direction across the team. Role •Design, build, test, deploy, and maintain scalable, cloud-native applications and microservices •Develop REST APIs using Java and Spring Boot, focusing on performance, scalability, and reliability •Translate requirements into well-structured designs and architecture, ensuring maintainability and security •Lead and contribute to system design discussions, aligning with architectural standards and best practices<

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach is seeking a highly capable Mission Logistics & Global Trade Manager to lead complex domestic and international movements supporting our defense programs. This role will focus on sensitive and difficult shipments, including export-controlled hardware, energetics, propulsion systems, hazardous materials, and other defense-related technologies moving to customers, test sites, demonstrations, and deployment locations around the world. The ideal candidate combines strong logistics and global trade expertise with exceptional resourcefulness, judgment, and ownership. They must be able to quickly assess regulatory, transportation, and destination-specific constraints, determine compliant paths forward, and drive the approvals, partners, documentation, and transportation required to execute. This person will work closely with Supply Chain, Legal, Security, Engineering, and Program teams to ensure critical hardware moves safely, compliantly, and on schedule. Key Responsibilities Mission & Defense Logistics Plan and execute complex domestic and international movement of defense-related hardware. Develop logistics plans supporting international customer deliveries, testing, demonstrations, deployments, and other critical program activities. De

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role We are seeking a proactive and customer-focused Help Desk Technician to provide both Level 1 and Level 2 technical support within our growing organization. The successful candidate will be the first point of contact for technical assistance and will handle a wide range of IT support requests, from basic troubleshooting to more complex technical issues. You will play a critical role in ensuring that IT systems and services run smoothly and efficiently day-to-day. Key Responsibilities Serve as the first point of contact for employees seeking technical assistance with their IT equipment. Troubleshoot and resolve hardware, software, and network-related issues for both Level 1 and Level 2 support cases. Assist with the setup, configuration, and maintenance of workstations, laptops, mobile devices, and other equipment. Perform basic network troubleshooting, including diagnosing connectivity issues, resetting network devices, and verifying internet access. Manage user accounts and permissions in systems such as [Active Directory, Google Suite, Slack, Okta] and other enterprise platforms. Install, configure, and update software applications on workstations and resolve software-related issues. Provide support for peripheral devices such as printers, scan

Legal Services NYC (LSNYC) fights poverty and seeks racial, social and economic justice for low-income New Yorkers. For over 50 years, we have challenged systemic injustices that trap people in poverty and provided legal services that help our clients meet basic needs for housing, income and economic security, family and immigration stability, education, and health care. LSNYC is the largest civil legal services provider in the country; our staff of more than 600 people in neighborhood-based offices and outreach sites across all five boroughs helps hundreds of thousands of New Yorkers annually. We partner with scores of community-based and client-run organizations, elected officials, public agencies, pro bono lawyers, and the courts to maximize our effectiveness. Our work fights discrimination and helps to achieve equity for all low-income New Yorkers. LSNYC employees have numerous opportunities for growth and professional development, including access to our internal Justice Learning Center, which provides opportunities to earn free CLEs and gain experience as a trainer. Pro Bono Scholar – Immigration Unit Staten Island Legal Services (across the street from the ferry), the Staten Island office of Legal Services NYC, seeks a Pro Bono Scholar for Spring 2027 to join our Immigration Unit. Program Description Staten Island Legal Services (SILS) fights poverty and seeks racial, social, and economic justice for low-income New Yorkers. SILS provides high-quality, innovative representation to address the pressing legal needs of Staten Island’s diverse low-income populations. SILS focuses on the problems that have the greatest impact on our clients —preserving affordable and decent housing, preventing foreclosures, representing survivors of domestic violence, assisting in obtaining government benefits, obtaining immigration status and preventing deportations, and advocating for the LGBTQ community, students with educational needs, and people with disabilities. SILS i

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 This is a hands-on build role that will develop and maintain HR's data pipelines on our GCP/BigQuery/dbt data model, with an AI-powered analytics layer on top. Core platform infrastructure is provisioned centrally; you'll help configure HR-specific pipelines and dbt modeling work on top of it, in partnership with our data scientist, and stand up recruiting reporting and insights as the first production use case on the new stack. This role reports directly to the Director of HR Analytics, with high visibility into architecture and stakeholder-facing decisions from day one. Your mission is to move the organization away from manual reporting and toward a mature, self-service environment where senior stakeholders get decision-ready answers, not just data. What You Will Be Doing Build and Deploy Scalable Analytics Build and maintain data pipelines in BigQuery/dbt, on infrastructure provisioned by the central data platform team, that link HR data across the employee lifecycle (Workday, Greenhouse, Qualtrics, ServiceNow), so we can trace how hiring decisions affect long-term engagement and retention. Support and enhance the AI-powered analytics user experience. Develop scalable, self-service dashboards that reduce time spent on reactive, one-off data requests. Implement data governance practices (access controls, validation, documentati

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or comp

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Zurich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or com

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or com

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're looking for a strategic ABM leader to build and elevate Elastic's account-based marketing practice as a part of our Executive and ABM Marketing Programs team. This is a player-coach role - you're accountable for your team's collective results while architecting the center of excellence, governance, tooling, and enablement that scales ABM across the entire organization. You'll define what great ABM looks like at Elastic, develop the marketers who deliver it, and ensure the broader GTM org understands how to adopt ABM principles. You'll partner closely with Executive Programs to turn our highest-value accounts into executive relationships, pipeline, and revenue. What You Will Be Doing Center of Excellence & Governance Define Elastic's ABM vision, playbooks, and maturity roadmap across 1:1, 1:few, and 1:many motions Establish governance: account selection criteria, tier methodology, ICP scoring, and cross-functional working norms Build and maintain the ABM knowledge hub - ensuring plays, findings, and procedures are detailed and accessible Be responsible for the ABM tech stack - ensuring adoption, correct configuration, and significant return on investment Leadership & Coaching Lead, mentor, and develop a team of ABM managers — owning their growth, performance, and everyday execution quality Serve as Elas

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 looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

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 The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

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 The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst