Security Controls Assurance Lead Jobs

Location: New York City or San Francisco - 4 days in office About the Role We are looking for a highly technical Senior Security Engineer who thrives on building security capabilities from the ground up. This role is ideal for someone who enjoys solving complex security challenges through engineering, automation, and AI rather than relying solely on commercial tools. You will help build, scale, and continuously evolve the next generation of security capabilities across our cloud-native SaaS platform, with a strong focus on AI security, automation, and scalable security operations. We are looking for engineers who enjoy solving security problems across multiple domains rather than specializing exclusively in a single area. You will join a highly technical Security Engineering team that values innovation, ownership, and building scalable security solutions. This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create security solutions that operate at scale. What You’ll Do Security Engineering Design, build, and maintain security platforms, services, APIs, automation, and internal tooling. Develop solutions that streamline Cloud vulnerability management, Network Security, Detection engineering, Incident response, access governance, and security operations. Use software engineering principles to build detections-as-code, security workflows, internal platforms, and scalable security services that enable the organization to move faster while remaining secure. Leverage AI extensively to accelerate investigations, automate workflows, improve decision making, and reduce operational overhead. AI & LLM Security Design and implement security controls for AI applications, LLM-powered services, agents, and AI development workflows. Build guardrails and security tooling to identify and mitigate risks such as prompt injection, data leakage, model misuse, excessive permissions, insecure plugins, and unsafe AI interacti

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure. The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards. This role can be based out of our Dublin office, or work fully remotely in Ireland. Responsibilities: Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.) Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services Qualifications: You might be a great fit if you match some of the following: 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes A deep understanding of Linux and networking concepts,

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure. The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards. This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours. Responsibilities: Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.) Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services Qualifications: You might be a great fit if you match some of the following: 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . Experience Level: 6–10 Years Domain: Product Security / AppSec / DevSecOps / AI Security / AI-First SDLC Role Summary We are looking for a hands-on Senior Staff Product Security Engineer to join and lead initiatives across our product security landscape. In this role, you will redefine modern Product Security by architecting an AI-first SDLC seamlessly integrating traditional AppSec with advanced AI security practices, automating shift-left pipelines, conducting rigorous threat models for core services and complex AI architectures, and leveraging cutting-edge AI tools to accelerate vulnerability remediation. You will partner directly with engineering leadership, Information Security, GRC, BuildOps, and DevOps teams to secure our SaaS products and safely enable cutting-edge agentic features. Role & Responsibilities AI-First SDLC & Shift-Left Automation: Architect and embed AI-driven security controls (SAST, DAST, SCA, Container, Secrets Detection) directly into CI/CD build pipelines and developer workflows, establishing an intelligent, highly automated AI-first SDLC. Operational & Strategic AI Security: Lev

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Software Engineer, Security Engineering We are looking for a Senior Software Engineer that will join the Auth0 Security Engineering organization. In this role, you will join a team of Software Engineers dedicated to building and managing services that secure the platform that Auth0 runs on. You will be instrumental in expanding our platform security controls and architecting custom workflows in a scalable, reliable manner. What You Will Do Service Development: Build, maintain, and operate platform security services and controls using Python, Node.js, or Golang. Security Data Pipelines: Design, build, and optimize custom workflows to ingest, process, and distribute security data to downstream systems at scale. Scalable System Architecture: Architect maintainable, secure, and resilient microservices and platform integrations that protect our infrastructure without adding friction for engineering teams. Engineering Quality: Write clean, testable, and well-documented code while driving technical designs and participating in code reviews to maintain high engineering standards. What You Bring Software Development Experience: 5+ years of hands-on experience designing, building, and maintaining production-grade software services. Core Language Proficiency: Hands-on mastery of Python, Node.js, or Golang. System Design Expertise: Strong track record of designing scalable, maintainable, and secure software architectures. Cloud & Containers: Solid expe

As a Senior Security Engineer within Application Security at Datadog, you will help secure emerging application architectures where established security patterns may not yet exist, including agentic applications, LLM-enabled products, protocol-driven tool use, and untrusted execution environments. You will establish and validate security models, requirements, and controls while partnering with product and platform teams to develop secure-by-default approaches. Your work will address evolving trust boundaries, agent identity, data access, tool permissions, and runtime behavior through threat modeling, security solutions, and practical implementation. You will have the opportunity to shape how Datadog safely supports new application paradigms and address emerging security risks before they become systemic. 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: Define security models, requirements, and guardrails for emerging application architectures where established patterns are incomplete or do not yet exist. Design, implement, and validate practical security controls that reduce risk in emerging architectures and high-risk system behaviors. Shape how emerging systems authenticate, authorize actions, isolate workloads, and access data, applying least-privilege principles throughout. Partner with product, platform, Infrastructure Security, and other engineering teams to identify security gaps and embed secure-by-default requirements from early design through production. Lead threat modeling and security assessments for new and existing products, focusing on evolving threats, unfamiliar trust boundaries, and new interaction patterns. Prioritize and drive remediation of emerging security risks, including continuous security testing where it provides durable cover

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role This is where security meets innovation at enterprise scale. As a staff security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems tha

About the team The Information Security organization advances the overall state of security at Rubrik through purposeful initiatives and coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information.3 About the role We are looking for an experienced and technically deep Identity and Access Management (IAM) Engineer to execute technical strategy across our entire Identity and Access Security management program. This domain spans a broad and increasingly complex set of disciplines, including Identity Governance & Administration (IGA), Access Management, Privileged Access Management (PAM), Non-Human Identity (NHI) security, and the emerging space of Agentic Identity security. This is fundamentally a hands-on role. You will be expected to personally design systems from the ground up and build automation that scales across a large and diverse application portfolio. At the same time, this role carries significant cross-functional weight: you will be partnering closely and continuously with Information Security, IT, Engineering and the many application-owning teams distributed across the company, driving the identity security initiatives in alignment with the overall business objectives. What you'll do Solution Design Design and build IAM solutions — including configurations, integrations, and workflows — that align with evolving business requirements, security policies and regulatory requirements (eg., SOX, GDPR). Application Onboarding & Integration Lead the onboarding of applications into IAM platforms

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 a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity We are looking for an experienced software engineer to join our CI/CD Security Team within our SDLC Security organization. We work at the intersection of security and engineering infrastructure to secure Datadog's continuous integration and continuous delivery systems. Our responsibilities include hardening pipelines, protecting credentials, and enforcing tightly scoped access controls. We also develop authorization and verification mechanisms to ensure that only trusted code and approved processes can reach production. In this role, you will shape and build a new security layer for our CI/CD infrastructure and drive its adoption across the engineering organization. You will solve challenging systems problems around trusted build provenance, secure secret delivery, and real-time policy enforcement at high throughput. The work sits directly in the critical path of software delivery, where strong security guarantees have to coexist with low latency, high reliability, and a seamless developer experience. You’ll join at an ideal time to make a big impact, as the need for robust software supply chain security is higher than ever. Datadog is growing rapidly, and AI-assisted development is increasing both the pace of software delivery and the amount of activity flowing through our CI/CD systems. Securing that scale without slowing engineers down requires strong software engineering fundamentals, thoughtful automation, and security controls designed to operate reliably at high throughput. At Datadog, we pla

Location: Doha | Practice Area : Technology & Engineering | Type: Permanent The Role Capco is looking for a Security Architect to help our clients design and deliver secure, resilient cloud environments. You’ll work across business, security, architecture, engineering, risk, and technology teams to embed security into cloud transformation programmes from the outset. This is an opportunity to tackle complex security challenges within financial services, helping clients adopt cloud technologies confidently while maintaining strong governance, regulatory compliance, and security controls. What You’ll Do Designing and implementing cloud security strategies and policies that meet an organisation's specific needs. Design secure architectures and security patterns across public, private, and hybrid cloud environments. Define and implement cloud security controls, standards, guardrails, and architecture principles aligned with business and regulatory requirements. Work with engineering and platform teams to embed security throughout cloud infrastructure, applications, and delivery pipelines. Conducting regular security assessments and audits to identify vulnerabilities and develop plans to address them. Assess cloud security risks, identify control gaps, and provide practical recommendations that balance security, resilience, and business requirements. Collaborate with security, risk, architecture, and technology stakeholders to support secure cloud adoption and transformation. What We’re Looking For Strong experience in cloud security architecture, cybersecurity architecture, or cloud infrastructure security. Practical knowledge of security architecture principles, identity and access management, encryption, network security, logging, monitoring, and cloud-native security controls. Experience designing security solutions across major cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Strong understanding of security frameworks, governance, risk man