DevSecOps Engineer
Core
Embed security across cloud infrastructure, CI/CD pipelines, Kubernetes workloads, and AI systems while operating real-time voice AI infrastructure at production scale.
Role type
DevSecOps Engineer (Cloud & AI Infrastructure)
Builds
Secure cloud infrastructure, CI/CD pipelines, Kubernetes clusters, and AI/ML inference pipelines
Domain
Fintech lending, Cloud Infrastructure, AI/ML Systems
Deliverable
production ML models
Required skills
AWS (EC2, VPC, IAM, S3, CloudWatch), Kubernetes (deployment, scaling, service mesh), Infrastructure-as-Code (Terraform), CI/CD (GitHub Actions, GitLab CI, ArgoCD), Python, Bash, Monitoring (Prometheus, Grafana), Security fundamentals (IAM, secrets management, SOC2)
Preferred skills
GPU workload management, Model serving (TorchServe, Triton), DataBricks, Spark, SOC2/PCI-DSS compliance, AWS certifications (Solutions Architect, Security Specialty), CKA
Technologies
AWS, Terraform, Kubernetes, Istio, Karpenter, Prometheus, Grafana, TrueFoundry, DataBricks, Python, Bash, GitHub Actions, GitLab CI, ArgoCD, TorchServe, Triton
Responsibilities
Manage and optimize AWS resources and implement infrastructure-as-code; Operate and troubleshoot Kubernetes clusters including autoscaling and service mesh; Build and maintain monitoring, alerting, and dashboards; Architect and maintain automated CI/CD pipelines with integrated security guardrails; Assist with DataBricks environment management and GPU workload scheduling; Identify manual tasks and automate them using internal tooling and scripts
Seniority
Mid-level (3-5 years), hands-on IC