Coveo
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Build security into every deployment, without slowing innovation!
What if security was embedded in every commit, every build, and every release by design? As a DevSecOps Specialist at Coveo, you’ll make that vision real by integrating security seamlessly into our continuous integration and continuous delivery (CI/CD) pipelines and cloud infrastructure.
You’ll transform security from a checkpoint into an accelerator, building automation and self-service tooling that empower developers to ship confidently. If you’re passionate about scaling secure software delivery in the cloud, this is where you’ll have real impact.
As one of our DevSecOps Specialists, you will:
- Design and maintain security automation across CI/CD pipelines, embedding controls and security gates without slowing delivery.
- Build and operate infrastructure-as-code (IaC) pipelines with security built in, managing secrets, identity and access management (IAM) policies, and hardened configurations at scale.
- Integrate and evolve vulnerability management workflows, including static application security testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), and container scanning.
- Automate compliance checks and policy enforcement across Amazon Web Services (AWS) environments to ensure continuous alignment with security standards.
- Design and maintain access management automation to provision, audit, and monitor access to infrastructure and sensitive resources.
- Partner with engineering and platform teams to make security tooling intuitive, scalable, and developer-friendly, reducing friction across the delivery lifecycle.
Here is what will qualify you for the role:
- Strong hands-on experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, or similar) and embedding security controls directly into pipelines.
- Proficiency in Python or other scripting languages to build reliable automation and integrations.
- Practical experience securing and automating cloud environments (AWS preferred), including compute, storage, networking, and Kubernetes.
- Deep understanding of DevSecOps toolchains, including container security, secrets management, infrastructure-as-code scanning, dependency analysis, and vulnerability remediation workflows.
What will make you stand out:
- Advanced experience with Terraform for security-focused infrastructure, including IAM roles, encryption keys, and network controls.
- Hands-on experience with Kubernetes security, including role-based access control (RBAC), network policies, admission controllers, or image signing.
- Experience implementing compliance-as-code frameworks such as Open Policy Agent or AWS Config Rules.
- Relevant certifications such as AWS Security Specialty, Certified Kubernetes Security Specialist (CKS), or similar credentials.
Do you think you can bring this role to life? Send us your application, we want to hear from you!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
Ready to apply?
Apply to Coveo
DevSecOps Specialist
Build security into every deployment, without slowing innovation!
What if security was embedded in every commit, every build, and every release by design? As a DevSecOps Specialist at Coveo, you’ll make that vision real by integrating security seamlessly into our continuous integration and continuous delivery (CI/CD) pipelines and cloud infrastructure.
You’ll transform security from a checkpoint into an accelerator, building automation and self-service tooling that empower developers to ship confidently. If you’re passionate about scaling secure software delivery in the cloud, this is where you’ll have real impact.
As one of our DevSecOps Specialists, you will:
- Design and maintain security automation across CI/CD pipelines, embedding controls and security gates without slowing delivery.
- Build and operate infrastructure-as-code (IaC) pipelines with security built in, managing secrets, identity and access management (IAM) policies, and hardened configurations at scale.
- Integrate and evolve vulnerability management workflows, including static application security testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), and container scanning.
- Automate compliance checks and policy enforcement across Amazon Web Services (AWS) environments to ensure continuous alignment with security standards.
- Design and maintain access management automation to provision, audit, and monitor access to infrastructure and sensitive resources.
- Partner with engineering and platform teams to make security tooling intuitive, scalable, and developer-friendly, reducing friction across the delivery lifecycle.
Here is what will qualify you for the role:
- Strong hands-on experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, or similar) and embedding security controls directly into pipelines.
- Proficiency in Python or other scripting languages to build reliable automation and integrations.
- Practical experience securing and automating cloud environments (AWS preferred), including compute, storage, networking, and Kubernetes.
- Deep understanding of DevSecOps toolchains, including container security, secrets management, infrastructure-as-code scanning, dependency analysis, and vulnerability remediation workflows.
What will make you stand out:
- Advanced experience with Terraform for security-focused infrastructure, including IAM roles, encryption keys, and network controls.
- Hands-on experience with Kubernetes security, including role-based access control (RBAC), network policies, admission controllers, or image signing.
- Experience implementing compliance-as-code frameworks such as Open Policy Agent or AWS Config Rules.
- Relevant certifications such as AWS Security Specialty, Certified Kubernetes Security Specialist (CKS), or similar credentials.
Do you think you can bring this role to life? Send us your application, we want to hear from you!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
Ready to apply?
Apply to Coveo
Turn AI ambition into real, scalable business impact.
Many organizations experiment with AI, but far fewer turn those experiments into measurable business value. As our AI Enablement Lead, you will help bridge that gap by transforming AI potential into practical, scalable outcomes across the organization.
Working at the intersection of business strategy and technology, you will guide leaders toward the most meaningful AI opportunities while ensuring responsible, aligned adoption. This role combines strategic influence, cross-functional leadership, and pragmatic execution to move AI from exploration to real impact.
As our AI Enablement Lead, you will:
- Partner with business leaders and our technical experts, including internal AI champions, to identify and prioritize high-impact AI opportunities.
- Translate business challenges into clear, actionable AI-enabled use cases.
- Guide AI adoption across tools and platforms to reduce duplication and maximize existing capabilities.
- Define and maintain a clear AI direction and phased roadmap aligned with enterprise architecture.
- Work with security, privacy, legal, and IT teams to establish practical guardrails for responsible AI use.
- Act as a bridge between business and technology, aligning stakeholders and technical teams to enable scalable AI adoption across the organization.
Here is what will qualify you for the role:
- Experience shaping enterprise AI strategy or adoption, helping organizations move from experimentation to measurable impact.
- Strong judgment in balancing value, feasibility, and risk when prioritizing AI use cases.
- Ability to explain what AI can and cannot do in clear, practical terms, including trade-offs and limitations.
- Proven ability to influence decisions across complex, cross-functional environments, including executives, architects, and business leaders.
What will make you stand out:
- Senior experience working across strategy, enterprise architecture, and emerging technologies.
- Exposure to AI governance, including privacy, security, compliance, or responsible AI frameworks.
- Background in data, analytics, automation, or intelligent platforms, with a focus on practical application.
- A pragmatic, outcome-driven mindset that prioritizes adoption and measurable results over experimentation alone.
Do you think you can bring this role to life? Send us your application, we want to hear from you!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
Ready to apply?
Apply to Coveo
Turn AI ambition into real, scalable business impact.
Many organizations experiment with AI, but far fewer turn those experiments into measurable business value. As our AI Enablement Lead, you will help bridge that gap by transforming AI potential into practical, scalable outcomes across the organization.
Working at the intersection of business strategy and technology, you will guide leaders toward the most meaningful AI opportunities while ensuring responsible, aligned adoption. This role combines strategic influence, cross-functional leadership, and pragmatic execution to move AI from exploration to real impact.
As our AI Enablement Lead, you will:
- Partner with business leaders and our technical experts, including internal AI champions, to identify and prioritize high-impact AI opportunities.
- Translate business challenges into clear, actionable AI-enabled use cases.
- Guide AI adoption across tools and platforms to reduce duplication and maximize existing capabilities.
- Define and maintain a clear AI direction and phased roadmap aligned with enterprise architecture.
- Work with security, privacy, legal, and IT teams to establish practical guardrails for responsible AI use.
- Act as a bridge between business and technology, aligning stakeholders and technical teams to enable scalable AI adoption across the organization.
Here is what will qualify you for the role:
- Experience shaping enterprise AI strategy or adoption, helping organizations move from experimentation to measurable impact.
- Strong judgment in balancing value, feasibility, and risk when prioritizing AI use cases.
- Ability to explain what AI can and cannot do in clear, practical terms, including trade-offs and limitations.
- Proven ability to influence decisions across complex, cross-functional environments, including executives, architects, and business leaders.
What will make you stand out:
- Senior experience working across strategy, enterprise architecture, and emerging technologies.
- Exposure to AI governance, including privacy, security, compliance, or responsible AI frameworks.
- Background in data, analytics, automation, or intelligent platforms, with a focus on practical application.
- A pragmatic, outcome-driven mindset that prioritizes adoption and measurable results over experimentation alone.
Do you think you can bring this role to life? Send us your application, we want to hear from you!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
Ready to apply?
Apply to Coveo
Turn AI ambition into real, scalable business impact.
Many organizations experiment with AI, but far fewer turn those experiments into measurable business value. As our AI Enablement Lead, you will help bridge that gap by transforming AI potential into practical, scalable outcomes across the organization.
Working at the intersection of business strategy and technology, you will guide leaders toward the most meaningful AI opportunities while ensuring responsible, aligned adoption. This role combines strategic influence, cross-functional leadership, and pragmatic execution to move AI from exploration to real impact.
As our AI Enablement Lead, you will:
- Partner with business leaders and our technical experts, including internal AI champions, to identify and prioritize high-impact AI opportunities.
- Translate business challenges into clear, actionable AI-enabled use cases.
- Guide AI adoption across tools and platforms to reduce duplication and maximize existing capabilities.
- Define and maintain a clear AI direction and phased roadmap aligned with enterprise architecture.
- Work with security, privacy, legal, and IT teams to establish practical guardrails for responsible AI use.
- Act as a bridge between business and technology, aligning stakeholders and technical teams to enable scalable AI adoption across the organization.
Here is what will qualify you for the role:
- Experience shaping enterprise AI strategy or adoption, helping organizations move from experimentation to measurable impact.
- Strong judgment in balancing value, feasibility, and risk when prioritizing AI use cases.
- Ability to explain what AI can and cannot do in clear, practical terms, including trade-offs and limitations.
- Proven ability to influence decisions across complex, cross-functional environments, including executives, architects, and business leaders.
What will make you stand out:
- Senior experience working across strategy, enterprise architecture, and emerging technologies.
- Exposure to AI governance, including privacy, security, compliance, or responsible AI frameworks.
- Background in data, analytics, automation, or intelligent platforms, with a focus on practical application.
- A pragmatic, outcome-driven mindset that prioritizes adoption and measurable results over experimentation alone.
Do you think you can bring this role to life? Send us your application, we want to hear from you!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
Ready to apply?
Apply to Coveo