DevSecOps Engineer

At Tekton Labs, we drive AI, automation, and cutting-edge cloud solutions. As a DevSecOps Engineer, you will ensure AI-powered applications are secure, scalable, and efficiently deployed, integrating cloud infrastructure, security, automation, and monitoring. If you're passionate about DevOps, security best practices, and cloud automation, this is your opportunity to make an impact!

• ✔ Implement secure & scalable cloud architectures on Azure (AKS, Functions, Key Vault).
• ✔ Define Infrastructure as Code (Terraform, Bicep) to automate provisioning.
• ✔ Manage API security (OAuth, JWT, Role-based Access Control, API Gateway security policies).

• ✔ Build & maintain CI/CD pipelines with Azure DevOps & GitHub Actions.
• ✔ Automate testing, security scans, and infrastructure deployments.
• ✔ Implement GitOps for infrastructure changes & observability.

• ✔ Deploy & scale AI services in Docker & Kubernetes (AKS).
• ✔ Optimize microservices networking & autoscaling.

• ✔ Implement real-time monitoring & logging with Azure Monitor, Prometheus, and Datadog.
• ✔ Automate incident response & security threat detection.

• 3+ years of experience in DevSecOps, Cloud Security, or DevOps Engineering.
• Strong knowledge of Python, Bash, YAML for automation & scripting.
• Experience with Infrastructure as Code (Terraform, Bicep).
• Hands-on experience with CI/CD tools (Azure DevOps, GitHub Actions, ArgoCD).
• Deep understanding of cloud security best practices (Azure Key Vault, OAuth, Azure AD, API Gateway Security).
• Experience managing Docker & Kubernetes (AKS) deployments.

• ⭐ Experience with GitOps methodologies.
• ⭐ Knowledge of incident response automation.
• ⭐ Experience with network security in microservices.

• ✔ Strong problem-solving & critical thinking skills.
• ✔ Excellent collaboration & communication with cross-functional teams.
• ✔ Ability to implement security-first approaches in AI & DevOps environments.

• Innovate in DevSecOps & AI-powered infrastructure.
• Work in a security-focused, automation-driven environment.
• Opportunities for growth & leadership in cloud security.
• Flexible remote, hybrid, or onsite work arrangements.

Submit your CV & portfolio (if applicable) and be part of the future of secure AI!

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