Senior AI DevOps Engineer

We're seeking a Senior AI DevOps Engineerto design, build, and secure our cloud infrastructure. You'll play a key role in delivering scalable, highly secure systems with a strong focus on Kubernetes, automation, observability, and cloud security best practices. Well-versed with at least two of the three major public clouds - GCP, AWS, or Azure.
Responsibilities:
Design, deploy, and maintain secure and scalable Kubernetes clusters in production.
Develop and manage Helm charts for deploying applications securely.
Implement GitOps workflows using ArgoCD, ensuring secure and auditable deployments.
Set up and manage observability stacks, including Prometheus, Grafana, and Loki, for monitoring, alerting, and logging.
Implement security best practices, including network policies, RBAC, pod security standards, and secrets management in Kubernetes.
Automate infrastructure provisioning and security compliance using Terraform, Ansible, or Pulumi.
Secure cloud infrastructure and enforce security policies in AWS, Azure, or GCP, focusing on IAM, encryption, VPC security, and firewall rules.
Implement CI/CD pipelines with security scanning (SAST, DAST, container image scanning, and dependency management).
Enhance system reliability, security, and performance through continuous monitoring, auditing, and automated remediation.
Collaborate with development and security teams to ensure security and compliance in all DevOps processes.
Respond to security incidents, conduct forensic analysis, and apply remediation measures.
Requirements:
6+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering roles.
Strong expertise in Kubernetes security, including RBAC, network policies, pod security, and secrets management.
Hands-on experience with Helm for secure and automated Kubernetes deployments.
Proficiency in ArgoCD and GitOps methodologies for managing infrastructure as code securely.
Experience with observability tools such as Prometheus, Grafana, and Loki.
Expertise in one or more cloud providers (AWS, Azure, or GCP), including IAM, VPC security, and compliance.
Strong knowledge of Terraform, Ansible, or Pulumi for infrastructure security automation.
Experience securing CI/CD pipelines using SAST, DAST, container security scanning (Trivy, Aqua, or Snyk).
Proficiency in scripting languages like Bash, Python, or Go for security automation.
Strong understanding of network security, firewall management, TLS, and certificate management.
Experience with logging, security monitoring, SIEM solutions, and automated alerting.
Experience with Service Mesh security (Istio, Linkerd, or Consul).
Hands-on experience with Zero Trust Security models and policy-as-code frameworks (OPA/Gatekeeper).
Knowledge of container runtime security using tools like Falco or Sysdig.
Familiarity with SOC 2 HIPAA, or other compliance frameworks.
Experience with incident response, forensic analysis, and security auditing.

Experience
6-9 yrs