Security Operations Data Loss Prevention Engineer Jobs

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

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

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 Partner Solutions Architect (PSA) is the technical force multiplier of Elastic's partner ecosystem. Where an account Solutions Architect wins one deal at a time, you build the technical capacity of a focused portfolio of partners — system integrators, resellers, MSSPs and cloud providers — so they source pipeline, win deals and deliver Elastic without us in the room. The role rests on three pillars: drive growth with and through partners (partner-sourced pipeline); act as an architect of leverage (every partner engineer you certify adds technical selling capacity Elastic didn't have to hire); and co-innovate on repeatable solutions (joint blueprints, demos and partner-built offerings on our technology — including vertical and managed solutions Elastic doesn't build itself). This is a pre-sales role that carries a partner-sourced pipeline target. You will work a defined portfolio of managed partners, each with an agreed technical engagement plan, and be measured on outputs — partner sourced deals, committed engagement plans and published assets — not on activity volume. What you will be doing Drive growth with and through partners Generate approved partner deal registrations, jointly owned with Partner Managers for your territory. Run partner-tailored sales playbooks on registered deals: qualify the deal shape, support intake

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 Industries is seeking a New Graduate Electrical & Avionics Engineer to support the design, development, integration, and testing of electrical systems for next-generation autonomous defense platforms. In this role, you will work across circuit-board design, avionics, power distribution, communications, vehicle harnessing, and hardware testing to take systems from early prototypes through flight-ready production hardware. You will collaborate closely with mechanical, software, systems, manufacturing, and test engineers to rapidly build, troubleshoot, and validate reliable electrical systems. This role is ideal for a hands-on engineer who wants broad technical ownership, learns quickly, and is excited to build critical hardware in a fast-paced environment. Key Responsibilities Design and develop electrical and avionics systems for autonomous aircraft, missiles, propulsion systems, and related defense platforms. Support schematic capture, component selection, PCB layout, stack-up design, and board bring-up. Design circuits incorporating microcontrollers, high- and low-speed communication buses, analog and digital interfaces, sensors, power distribution, EMI protection, and ESD protection. Develop flight avionics, guidance and control elect

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 Working with avionics means working at the heart of the vehicle — the core that connects and enables every other subsystem. This role is inherently collaborative, bridging (GNC), software, mechanical, and thermal disciplines to create a unified platform with the required defense capabilities. Every function depends on a robust and compatible avionics architecture, where everything needs to be developed and extensively tested, making this position critical to the vehicle’s overall performance and mission success. It’s a uniquely challenging role that balances diverse technical demands focused on electronics & software, that integrates complex systems, and ensures every component works together seamlessly to deliver cutting-edge unmanned capabilities. Key Responsibilities Development and integration of Avionics systems Define and maintain functionality of avionics systems with vehicle, system iterations and updates Develop and manage high-level block diagrams to represent system functions and interfaces Collaborate closely with vehicle teams to define electrical and system requirements Design and provide technical support for Iron-birds, prototypes, and special projects Troubleshooting avionics systems in both hardware and software, and develo

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. We are looking for a Principal, Regional Partner Programs reporting to the Senior Director, Global Partner Programs in the Channel and Alliances organization. In this role, you will own the regional build, activation, and execution of priority partner programs and go-to-market initiatives. Working with regional leadership and global program owners, you will shape program design through regional insight, lead complex launches, and drive measurable adoption. As a senior individual contributor, you will exercise independent judgment and executive influence to drive hands-on ownership from problem definition through scale. What You’ll Do (Role Expectations) Own Regional Program Priorities & Execution: Define and execute a regional roadmap aligned with global strategy. Partner with regional Channel and Sales leadership to prioritize target partners, sales plays, resources, and business outcomes. Exercise independent judgment

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 an Account Executive, Commercial, Switzerland, to join our team. This is a Hybrid role based in Switzerland, with connection to the Zurich office and reporting to the Sales Director in the Commercial sales department. You will join a global group of professionals passionate about cloud security leadership and driving a secure, cloud-enabled digital future. In this role, you will demonstrate the power and agility of Zscaler cloud transformation by managing a territory focused on net new logos and up-sell opportunities. What you’ll do (Role Expectations) Take ownership of an assigned territory focused on net new logo and up-sell opportunities within accounts of 750 to 5,000 employees Demonstrate expertise in building business cases that clearly show value and differentiation at all levels of customer and prospect organizations Partner effectively with Sales Engineering, Solution Architecture, Va

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. About the Role We are looking for an Enterprise Account Executive to join our Sales and Go-to-Market team. This role is based in the Atlanta, GA area, reporting to the Regional Director. You will be part of a global group of professionals passionate about delighting our customers, nurturing trusted partnerships, and sharing expertise to drive a secure, cloud-enabled digital future. By demonstrating the power and agility of cloud transformation, you will help cement our position as the world leader in cloud security. What you’ll do (Role Expectations) Build relationships with important internal and customer stakeholders, including c-suite decision-makers Create a long-term account strategy aligned with customer goals Collaborate with internal teams to meet customer needs and contribute to comprehensive account planning Act as a trusted advisor by understanding client businesses and aligning technical solutions with their str

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 Principal Software Development Engineer (Control-Plane) to join our Engineering team. This is a hybrid (in Santa Clara, CA office minimum 3 days per week) role, reporting to the Director, Software Development Engineering. We are expanding our existing control path and looking for a software engineer to help drive the development of new features and enhanced functionality. You will play a pivotal role in evolving our architecture to ensure it meets the demands of our growing user base. What you’ll do (Role Expectations) Define software design specifications and implement bug-free code using test-driven methodology and modern AI-based coding tools Design, develop, and optimize the system, including networking and security features, to support high-performance applications while performing unit testing and automation to ensure quality Apply strong software design principles and deep trou

Job Details: Job Description: Intel's Design Quality and Reliability organization is seeking an AI Platform Engineer to architect and build an enterprise-grade AI platform for mission-critical engineering work. This platform will enable Intel engineers to analyze complex design, qualification, and reliability data; automate engineering workflows; access organizational knowledge; and make faster, evidence-based decisions throughout the product lifecycle. The successful candidate will combine strong software engineering fundamentals with expertise in AI-native and agentic development. They will be highly proficient with Agentic AI coding assistants and able to use these tools responsibly to accelerate architecture, implementation, testing, debugging, and documentation. This role requires close collaboration with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security, and other Intel stakeholders. Responsibilities 1. Architect and develop Intel's reusable AI platform for Design Quality and Reliability. 2. Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation. 3. Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation. 4. Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools. 5. Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components. 6. Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability. 7. Implement human approval, deterministic validation, and rollback controls for consequential engineering actions. 8.

Senior Software Engineer Mission Systems Software Developer Company: The Boeing Company The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida . BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems softwar

About the Team & Role: We're building Rubrik Agent Cloud, the enterprise platform to monitor, govern, and remediate AI agents. Our team operates at the intersection of AI, distributed systems, and enterprise security, creating solutions that make it possible for organizations to operate production-grade AI agents at scale. As a member of the Rubrik Agent Cloud team, you'll work with cutting-edge AI technologies while solving complex challenges in scaling, security, and performance. We're a collaborative team passionate about pushing the boundaries of what's possible with enterprise AI infrastructure. Nature of the Specialized Duties ➢ Architecting and Governing Secure Multi-Cloud Foundations (30% of time) Leading the end-to-end architectural design and onboarding of complex business units into a multi-cloud ecosystem (AWS, Azure, GCP, OCI), ensuring structural parity across disparate environments. Engineering secure "Landing Zones" and multi-tenant structures using advanced Identity and Access Management (IAM) hierarchies and automated policy enforcement. Developing and implementing global Role-Based Access Control (RBAC) models and Attribute-Based Access Control (ABAC) frameworks to manage granular permissions for AI agent workloads. Designing and governing resource hierarchy models and tagging standards that utilize metadata for automated lifecycle management and complex cost-attribution algorithms. ➢ Engineering Security and Compliance at Scale for AI Workloads (25% of time) Designing and implementing cryptographic controls, including Key Management Service (KMS) integration, encryption-at-rest/transit protocols, and hardware security module (HSM) configurations. Architecting network security perimeters using VPC Service Controls , Privileged Identity Management (PIM), and deep packet inspection logging. Conducting technical root-cause analysis of security vulnerabilities and engineering automated remediation scripts to close compliance gaps (SOC 2, ISO

The key objectives of the TPRM Program are to: Assess the risk of third-party relationships which drive the rigor of risk management activities both during the third-party onboarding and ongoing monitoring lifecycle phases using the TPRM Program’s formula-based risk methodology; Act as a liaison across key internal stakeholder teams (Procurement, Legal, Enterprise Security and the Business) to ensure clear and accurate communication of third-party risks aligned to risk management activities in order to complete risk assessments in a timely manner; Identify TPRM program enhancements aimed at the effective and efficient management of third-party risk in order to support Business strategic initiatives. Reporting to the TPRM Manager and working closely with the TPRM Risk Analyst, the Associate TPRM Risk Analyst will support day-to-day execution of the third-party risk lifecycle. This is a support-oriented analyst role focused on applying established TPRM procedures and risk methodology to standard engagements, maintaining complete and accurate assessment records, coordinating routine stakeholder activity, and escalating issues that require additional judgment. Responsibilities: Risk Intake & Assessment Methodology Apply the TPRM Program’s formula-based inherent risk methodology and assign Criticality designations for standard third-party relationships, documenting the inputs, rationale, and supporting evidence Perform completeness and consistency checks on intake information, risk calculations, and assessment records; identify missing, inconsistent, or unclear information and escalate exceptions in accordance with defined thresholds. Documentation Analysis & SME Coordination Gather, organize, and maintain third-party-provided information and documentation in accordance with TPRM assessment methodology and audit-readiness expectations. Identify and route required SME reviews using defined risk triggers, track responses, and document completed SM