Newtide Development

Were looking for an experienced DevOps / DevSecOps Engineer to support, secure, and scale our infrastructure for delivering AI-powered applications and services. You will lead efforts in container orchestration, cloud infrastructure, automation, and secure deployments—with a primary focus on Kubernetes , Docker , and Azure , while remaining cloud-agnostic where needed. This is a key technical role requiring strong foundations in networking, security, cloud-native application delivery, and security automation. You will be responsible for embedding security best practices throughout the development and deployment lifecycle. Key Responsibilities: Design, deploy, and scale containerized applications using Kubernetes and Docker . Manage and optimize infrastructure primarily on Microsoft Azure , with exposure to AWS or GCP as needed. Build and maintain CI/CD pipelines and GitOps workflows for automated and secure deployments. Integrate security controls and automated security testing into CI/CD pipelines (SAST, DAST, dependency scanning). Ensure infrastructure reliability, scalability, cost-efficiency, and compliance with security standards. Implement and enforce cloud security best practices (firewalls, secrets, IAM, encryption, vulnerability management). Monitor system health, security events, and performance using logging, tracing, alerting, and SIEM tools. Conduct regular vulnerability assessments, threat modeling, and risk analysis. Collaborate with developers, ML engineers, and security teams to provision secure environments and support cloud-based AI services. Maintain compliance with relevant standards (e.g., SOC2, ISO 27001, GDPR) as required. Required Skills & Experience 5 years in DevOps, DevSecOps, SRE, or infrastructure engineering roles. Strong hands-on experience with Kubernetes and Docker in production environments. Deep knowledge of cloud infrastructure , with a strong preference for Azure . Proficiency in infrastructure as code (e.g., Terraform, Bicep, Pulumi, or ARM templates). Solid grasp of networking , DNS , TLS , firewalls, secure service-to-service communication, and zero-trust principles. Experience integrating security tools into CI/CD (e.g., Snyk, Aqua, Trivy, Checkov). Familiarity with monitoring, logging, and security stacks (e.g., Prometheus, Grafana, ELK, Azure Monitor, Sentinel). Experience with CI/CD systems (GitHub Actions, Azure DevOps, etc.). Comfortable scripting in Bash, Python, or PowerShell. Understanding of secure SDLC, threat modeling, and vulnerability management. Nice to Have Certifications in Azure (e.g., AZ-104, AZ-400), Kubernetes (CKA, CKAD), or security (e.g., CISSP, CCSP, Azure Security Engineer Associate). Experience with service meshes (e.g., Istio, Linkerd) or ingress controllers (NGINX, Traefik). Exposure to supporting AI/ML workloads (e.g., GPU provisioning, model serving). Knowledge of container security, secrets management (e.g., Azure Key Vault, HashiCorp Vault), and runtime security. Familiarity with multi-cloud or hybrid cloud strategies. Experience with compliance frameworks (SOC2, ISO 27001, GDPR, HIPAA). Experience with automated compliance as code and policy enforcement (e.g., OPA, Sentinel).