Security Technology Deployment Specialist Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Seoul, you’ll drive adoption of safe, frontier AI technology across Korea’s manufacturing industry — semiconductors and electronics, automotive and mobility, batteries, shipbuilding and heavy industry, and steel and chemicals. You’ll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize R&D and engineering, production and quality, supply chain, and corporate functions with Anthropic’s AI solutions. Key responsibilities Own and exceed revenue targets by winning new accounts and expanding relationships across Korea’s manufacturing companies Build and execute territory plans, identifying opportunities across semiconductors and electronics, automotive and mobility, batteries and energy, shipbuilding and heavy industry, and materials and chemicals Lead consultative sales processes with senior stakeholders — including heads of digital/AI transformation (DX/AX), R&D and engineering leaders, manufacturing and quality executives, CIOs/CISOs, and business-line executives Navigate Korea’s manufacturing technology environment, including industrial technology and National Core Technology protection requirements, trade secret and IP safeguards, export control considerations, and strict information security review Work across group structures, including holding companies, affiliates, and group IT service companies that shape technology procurement and deployment Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet manufacturing-sector security and IP protection standards Stay

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: Detection Engineering is responsible for designing, developing, and maintaining high-fidelity detection logic across enterprise security platforms. This role focuses on proactive threat detection, automation-first practices, and continuous improvement of detection coverage and accuracy, supporting the WPP SOC transformation into an Autonomic Security Operations model. What you'll be doing: Develop, test, and maintain detection rules and logic across SIEM, EDR, NDR, and cloud-native platforms. Regularly review and enhance detection logic to improve accuracy, reduce noise, and align with evolving threats. Work with wider WPP engineering teams to ensure high-quality, normalized telemetry for effective detection. Automate detection rule deployment, QA, and version control using scripting and CI/CD pipelines. Root Cause Analysis (RCA) Conduct RCA on missed detections, delayed responses, and high-severity incidents. Identify technical and process-level causes of detection failures or inefficiencies. Drive corrective actions based on RCA outcomes (e.g., rule improvements,

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Lead the design and operation of a single, auditable security automation pipeline where security controls are authored, reviewed, validated, and deployed Build drift reconciliation and validation engines that detect and remediate divergence across endpoint, identity, cloud, and vulnerability management domains Replace manual console operations with version-controlled, auditable automation built on infrastructure-as-code and configuration management platforms Implement and scale infrastructure-as-code deployment patterns and reusable automation components that accelerate delivery of security controls across teams Build and maintain continuous integration and continuous deployment pipelines with automated linting, policy-as-code checks, pre-deployment validation gates, and promotion workflows Design observability and monitoring pipelines that surface drift, control failures, and deployment health across environments and enable rapid incident detection

About the Team OpenAI’s IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives. About the Role As an ITAV Deployment Engineer at OpenAI, you will deliver the audiovisual systems for new offices, expansions, and refresh projects. You will turn approved designs into installed, configured, and tested systems, coordinate integrators and site dependencies, and carry defects through verified closeout. Your coordination begins at project inception and continues through delivery, commissioning, and acceptance by the receiving support team. You will partner with ITAV Engineering on design decisions, Network Engineering on connectivity, and Workplace and Capital Builds on site readiness and delivery timing. In this role, you will: Deliver assigned AV build packages for new offices, expansions, and refreshes using approved designs, room standards, and installation requirements. Coordinate the ITAV workstream for office construction projects from inception through delivery, partnering with Capital Builds, Network Security, and Workplace Design and Construction to align requirements, schedules, dependencies, and handoffs. Review drawings, equipment lists, site conditions, and integrator plans; identify missing prerequisites and raise design exceptions before installation. Coordinate equipment staging, installation sequencing, vendor deliverables, and site access with integrators, Workplace, Capital Builds, and ITAV program partners. Configure conferencing endpoints, Q-SYS controls and audio processing, and AV-over-IP connections to match the approved design. Prepare accurate device and port records and coordinate IP addressing, DNS, DHCP, VLAN, and connectivity req

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business What you’ll do Continue advancements in the firm’s Linux security strategy by creating resilient controls across enterprise infrastructure Lead adversary-informed assessments of Linux systems to stay ahead of emerging risks to critical business platforms Design hardened Linux build standards that reduce attack surface while supporting reliable, high-performance technology operations Develop automated checks and remediation workflows that continuously validate configuration, access, and patching practices at scale Partner with security operations and infrastructure teams to investigate Linux-focused threats and strengthen detection and response playbooks Analyze privilege paths, authentication flows, and service configurations to identify opportunities for containment and least-privilege enforcement Advise engineering teams on secure deployment patterns for Linux workloads across data center and cloud-based environments Create practical security guidance, threat mod

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 the Senior Manager of Security Operations, you will lead and scale Everpure's global Detection Engineering and Cloud Incident Detection & Response (CIDR) teams. You will own the mission of transforming SecOps into a proactive, intelligence-driven defense engine that measurably reduces risk across cloud, SaaS, infrastructure, and endpoint environments. Partnering closely with GRC, Infrastructure, Product Security, and Engineering leadership, you will establish operational work plans, detection standards, and response strategies that safeguard the Everpure Platform against sophisticated global threats. WHAT YOU'LL DO Direct Detection Engineering & Incident Response Strategy: Establish operational objectives, work plans, and SLAs across threat detection, automated response workflows, and incident triage to continuously optimize Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR). Champion Threat-Informed Detection & Validation: Lead the deployment and continuous refinement of a high-signal detection inventory mapped to MITRE ATT&CK, validating control efficacy through automated simulations, red/purple team exercises, and threat hunt findings. Streamline Telemetry Ingestion & Automation: Oversee the architectural ingestion of multi-cloud (AWS, Azure), endpoint, network, and SaaS log sources into SIEM and SOAR pipelines, reducing false positives and accelerating automated remediation. Lead

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is seeking a Senior Security Engineer to design, implement, and operate enterprise Data Loss Prevention and Secure Access Service Edge capabilities. The role will reduce data exfiltration risk, enable secure access to web, SaaS, private applications, and cloud services, and improve security coverage. You will be a senior individual contributor and subject matter expert, within the Enterprise Security team and will closely partner with IT, Network Engineering, Legal, Privacy, Compliance, and application owners. Success requires hands-on engineering, design, operational ownership, and clear risk communication. A day in the life (Responsibilities) Data Loss Prevention Engineering Own the DLP engineering roadmap and control lifecycle, from requirements and architecture through proof of concept, testing, phased deployment, tuning, operations, and continuous improvement. Design and operate controls for sensitive data across managed endpoints, email, web and network channels, SaaS and collaboration applications, cloud environments, and data repositories. Build and maintain data discovery and classification logic using sensitive information types, regular expressions, data matching, document fingerprinting, OCR, and machine learning where appropriate. Translate requirements into precise policies and response actions with documented exceptions. Establish safe policy rollout practices with test cases, pilot groups, change control, user impact analysis, exception review, and measurable acceptance criteria. Triage and investigate DLP alerts and incidents, determine root cause and business context, coordinate containment and remediation, and reduce false positives without weakening protection. Integrate DLP with SASE services, SIEM/SOAR platforms, MDM, ticketing systems, data classif

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. We are looking for a Backend Engineer II to join our Security Compliance Engineering team. You’ll help turn complex security, risk, and compliance requirements into scalable software solutions that make it easier for teams across Spotify to build and operate securely. You’ll work with engineers and partners across security to strengthen our technical Governance, Risk, and Compliance (GRC) capabilities. What You'll Do Design and build backend products, services, and infrastructure that strengthen Spotify’s technical security Governance, Risk, and Compliance strategy. Build scalable infrastructure and tooling that help apply regulatory requirements and security framework controls across Spotify’s distributed environment. Develop reliable services that automate security and compliance processes, reducing manual work and helping engineering teams understand and meet requirements. Work with security, engineering, and other partners to translate security and compliance requirements into practical technical solutions. Contribute to consistent engineering practices that address security, risk, and compliance requirements while supporting teams at scale. Own the quality of your work from design and development through deployment, operation, and continuous improvement. Who You Are You have experience developing backend software using an object-oriented programming

Location: Doha, Qatar | Practice Area : Technology & Engineering | Type: Permanent The Role Capco is looking for an AI Security Consultant to help our clients identify, assess, and manage security risks associated with AI technologies and AI-enabled solutions. You’ll work across data, security, technology, risk, and business teams to embed appropriate security controls throughout the lifecycle of AI systems. This is an opportunity to work at the intersection of AI, data, and cybersecurity within financial services, helping clients adopt AI securely while protecting sensitive information, strengthening governance, and managing emerging security risks. What You’ll Do Assess security risks associated with AI systems, models, data pipelines, and supporting technology environments. Conduct AI security assessments and secure AI architecture reviews. Define and implement security controls, standards, and guardrails across the AI lifecycle, from design and development through deployment and ongoing operation. Identify and assess AI-specific threats and vulnerabilities, including risks relating to data exposure, model access, prompt manipulation, and misuse. Deliver cybersecurity advisory services supporting enterprise AI adoption. Support clients in securing AI-enabled products, platforms and data ecosystems. Work with data, security, architecture, engineering, risk, and business teams to embed security-by-design into AI solutions and delivery processes. Support AI security governance, risk assessments, control testing, monitoring, incident response, and remediation activities. What We’re Looking For Strong experience in cybersecurity, information security, AI security, data security, or related technology risk disciplines. Practical understanding of AI and machine learning environments and the security risks associated with models, data, applications, and supporting infrastructure. Experience applying security controls, threat modelling, risk assessment, identity and a

As a Network Engineer II on the Office Technology team, you will implement and support office network solutions across Datadog’s global offices. You will own well-scoped deployment and upgrade work, troubleshoot connectivity issues across LAN, WAN, and Wi-Fi, and partner with senior engineers on larger designs and cross-office initiatives. You will collaborate closely with vendors, Facilities, AV, IT Support, Security, and Infrastructure teams to keep Datadog offices connected, reliable, and observable. This is an IC2 role with a mix of project work and day-to-day operations. You will take ownership of clearly defined areas of the office network stack, execute production changes with care, and grow your ability to design, automate, and improve office network services with support from senior engineers. You will also use AI-assisted tools responsibly to improve troubleshooting, documentation, automation, knowledge discovery, and operational follow-through. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Deploy and configure network solutions for new and existing offices, including switches, wireless access points, routers, and firewalls Own scoped portions of office rollouts and upgrade projects, from planning through execution and validation Partner with ISPs, cabling providers, hardware vendors, and internal teams to turn up new services and resolve issues Troubleshoot LAN, WAN, and Wi-Fi issues using structured debugging methods, packet capture, logs, and performance data Manage routing, VLAN, firewall, and wireless configurations following team standards and change-management processes Contribute to repeatable deployment patterns through templates, documentation, scripting, or infrastructure-as-code Monitor office netwo

Technical Deployment Lead itD is seeking a Technical Deployment Lead to drive coordination and delivery oversight across a portfolio of global collaboration technology initiatives. This role will act as the central point of alignment across multiple concurrent programs—ensuring visibility into progress, managing dependencies, and proactively mitigating risks to keep complex, multi-site deployments on track. The ideal candidate will bring deep expertise in technical program delivery and cross-functional coordination and a proven track record of delivering large-scale, multi-site deployments with strong stakeholder alignment and operational readiness . Location: Onsite – Menlo Park, CA (5 days/week) Pay Rate: $40 - $41 per hour, depending on experience Duration: 12 months We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Lead cross-program coordination by maintaining a consolidated view of milestones, risks, dependencies, and overall program health Drive alignment across cross-functional teams including IT, facilities, security, workplace services, and delivery partners Establish and manage program cadences (stand-ups, reviews) to ensure consistent progress across multiple initiatives Track and communicate risks, blockers, and status updates to senior stakeholders with clear recommendations Coordinate readiness for production environments, event spaces, and collaboration technology deployments Support hands-on delivery activities including procurement tracking, equipment validation, and deployment documentation Interpret and mark up deployment drawings (AutoCAD/Bluebeam) to guide vendors and ensure execution accuracy Internal Responsibilities Attend regular internal practice community meetings Collaborate with your itD practice team on industry thought leadership Complete client case studies and learning mat

About the Team The Early Access Program (EAP) team leads high-impact alpha programs at the intersection of customers, Product, Research, Engineering, GTM, Security, Legal, and launch teams. We partner with customers to test emerging capabilities with real-world use cases, surface actionable insights, and support launch decisions. Our team is made up of builders who learn quickly, collaborate deeply, create clarity in ambiguity, communicate openly, and iterate constantly. About the Role We’re hiring an Early Access Deployment Engineer to lead technical engagements with customers who are leveraging our frontier capabilities to solve real-world use cases. You will work at the earliest—and often messiest—stage of development, when capabilities are still unclear, tooling and processes are evolving, and the path from promising technology to a valuable real-world application has yet to be defined. You will be a hands-on builder, problem solver, and technical partner to customers and our research/product team. You’ll push beyond initial assumptions, identify high-value use cases, prototype solutions, design useful evaluations, and troubleshoot what is and is not working. Managing multiple customer engagements at once, you will help customers navigate ambiguity and difficult technical decisions while translating their experience into clear, actionable feedback for Research and Product. You will also own the end-to-end execution of early access programs—from onboarding customers, supporting live experimentation, synthesizing findings, and informing launch decisions. You’ll collaborate deeply with Research, Product, Engineering, Applied Evals, GTM, Legal, Security, Marketing, and other launch partners to create clarity, manage risk, and keep programs moving through changing conditions. Success in this role means turning frontier capabilities into real-world customer value and high-quality research signals. You will develop reusable technical approaches from early deployments,

About the Team Security is foundational to OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security organization protects OpenAI’s technology, people, and products by building and operating deeply technical systems that must work reliably at massive scale. Our work underpins OpenAI’s commitments around safety, privacy, and security across research, products, and emerging platforms. The Host Assurance team exists to make bare metal a dependable, scalable foundation for OpenAI: secure by default, verifiable in practice, and resilient across providers and operating models. We operate at the trust boundary between physical hardware and cloud-scale orchestration, ensuring that hosts are eligible to safely run workloads with predictable security properties and auditability. About the Role OpenAI is seeking a Security Engineer, Host Assurance to help build the trust foundations for bare-metal platforms across OpenAI’s global infrastructure. This is a deeply hands-on engineering role for a builder who can design, implement, and operate the core security infrastructure that establishes trust in hardware platforms before they are eligible to run workloads. Success in this role requires strong technical judgment, the ability to work comfortably at low levels of the stack, and a practical mindset for building systems that are secure, reliable, and usable in fast-moving production environments. The systems you build will sit on the critical path of OpenAI’s frontier infrastructure investments and will directly shape how large amounts of compute are brought online - securely, responsibly, and at global scale - underpinning long-lived commitments around privacy, security, and reliability. You will partner closely with infrastructure, research, and confidential computing initiatives—including novel hardware platforms and emerging deployment models– to make the secure path the easiest path. This role is well suited for engineers who enjo

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 are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. In this role, you will: Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure. Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. You will thrive in this role if you have: Deep understanding of security principles, best practices, and common vulnerabilities. A proactive mindset, with the ability to identify and address secu

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