Job Title

Why Join Skyrelis? Build the world’s leading AI security & observability platform. Work on cutting-edge multi-cloud infrastructure and global PoP architecture. Own complex security + cloud problems end-to-end. Significant growth opportunity as one of the early engineers building the Skyrelis platform. About the Role Skyrelis is seeking a highly skilled Cloud DevSecOps Engineer (6–8 years) to join our platform engineering team. This role is critical in deploying and operating Skyrelis’ global Edge PoPs, secure data plane/control plane microservices, Envoy-based AI inspection gateways, and our complete observability pipeline across AWS and multi-cloud environments. You will own the secure deployment lifecycle—from infrastructure automation, certificate management, and observability—in addition to optimizing OpenSearch indexing, cluster performance, and building resilient CI/CD systems. This is a hands-on engineering role suitable for someone who thrives in high-scale security architectures and modern cloud-native systems. Responsibilities Cloud & Kubernetes Infrastructure Deploy microservices using Helm, Terraform, and Kubernetes (EKS/GKE). Operate data plane & control plane workloads across AWS and multi-cloud. Support new regional deployments on demand. Envoy Deployment & Certificate Management Deploy Envoy proxies (sidecars, explicit/forward proxies, MITM). Manage PKI, certificate rotation, SDS/xDS integrations. Support customer-specific deployment patterns. Observability & OpenSearch Configure & troubleshoot OTEL receivers, OSIS ingestion pipelines. Manage OpenSearch indices, shards, mappings, log normalization, retention, snapshots. Ensure resiliency, scalability, and cost efficiency DevOps Automation & CI/CD Manage CI/CD pipelines for platform services. Implement canary/blue-green deployment strategies. Maintain secure secret storage and lifecycle (KMS/Secrets Manager). Security, Monitoring & Operations Review and strengthen cloud security policies. Integrate customer IDP (SAML/OIDC). Monitor using CloudWatch, configure alerting. Work with AWS Support when required. Participate in incident response and post-mortems. Support LLM model deployment workflows. Documentation & Environment Management Maintain architecture docs, runbooks, SOPs. Manage dev/stage/prod cloud environments and upgrades. Required Qualifications 6–8+ years hands-on DevOps/SRE/Cloud Engineering experience. Strong expertise with AWS (VPCs, IAM, EC2/ECS/EKS, CloudWatch, ALB/NLB, Route 53, ACM, OpenSearch). Experience deploying and configuring Envoy proxy (sidecars, forward proxies, MITM). Deep understanding of TLS, PKI, certificate chains, SDS/xDS , and certificate lifecycle automation. Experience with OTel Collector , OpenSearch , OSIS pipelines. Strong IaC experience using Terraform , Helm , CloudFormation . Comfortable with Kubernetes , microservices, autoscaling, networking. Solid experience with CI/CD pipelines. Expertise in Linux, networking, DNS, routing, and containerized deployments (Docker). Programming/Scripting in Python, Bash, or Go. Preferred Experience with multi-region / multi-cloud rollouts (AWS, GCP, Azure). Familiarity with AI/LLM infra deployments (model hosting, GPU workflows, inference infrastructure). Exposure to SIEM, DLP, or security-oriented observability systems. Strong understanding of Zero Trust and identity federation (SAML/OIDC). Soft Skills Strong ownership and execution abilities. Excellent communication and documentation skills. Ability to operate independently in a fast-moving startup environment. Comfortable collaborating with engineering, security, and customer teams. We’re grateful to everyone who takes the time to apply. While we’re unable to respond to every applicant, we’ll be in touch directly with those whose experience aligns closely with the role.