DevSecOps Engineer
Core
Embed security across cloud infrastructure, CI/CD pipelines, Kubernetes workloads, and AI systems while managing 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 scripting, Monitoring (Prometheus, Grafana), Security fundamentals (IAM, secrets management, SOC2)
Preferred skills
ML/AI infrastructure (GPU workloads, model serving), DataBricks/Spark, Compliance (SOC2, PCI-DSS)
Technologies
AWS, Terraform, Kubernetes, Istio, Karpenter, Prometheus, Grafana, TrueFoundry, DataBricks, Python, Bash
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 incident response runbooks; Architect and maintain automated CI/CD pipelines with integrated security guardrails; Assist with DataBricks environment management and GPU workload scheduling; Automate operational tasks and build internal tooling
Seniority
Mid-level, hands-on IC
