8 days ago
Responsibilities
- Design and build automation for cloud infrastructure provisioning, onboarding, upgrades, scaling, and decommissioning across AWS and GCP.
- Develop production-grade Go and Python services, internal CLIs, provisioning frameworks, and self-service platform capabilities.
- Own and evolve the Terraform/OpenTofu, Helm, and ArgoCD-based Infrastructure-as-Code and GitOps stack.
- Operate and scale Kubernetes clusters, Istio service mesh, Aerospike and PostgreSQL data stores, Kafka messaging, and GPU-backed inference workloads.
- Build observability, alerting, metrics, logs, and synthetic monitoring to detect and permanently resolve recurring failures.
- Collaborate with enterprise customers and their infrastructure, security, and platform teams to design reusable solutions and support onboarding through go-live.
- Participate in on-call rotations, lead incident response, and produce root-cause analyses with concrete corrective actions.
- Build secure-by-default platform guardrails covering secrets management, access control, network policy, and audit logging.
- Mentor and technically guide junior and early-career platform engineers while reducing manual and repetitive infrastructure work.
Requirements
- 8+ years of experience in platform engineering, infrastructure engineering, DevOps, or SRE roles with production cloud infrastructure ownership.
- Strong software engineering ability in Go and/or Python, including tested and maintainable production code.
- Deep production Kubernetes experience including scheduling, networking, autoscaling, and upgrades.
- Hands-on experience with Infrastructure as Code tools such as Terraform, Pulumi, or OpenTofu.
- Experience with at least one major public cloud: AWS, GCP, or Azure; experience with all three is preferred.
- Experience building internal CLIs, provisioning frameworks, self-service portals, or automation platforms used by other engineers.
- Experience supporting enterprise, security-sensitive, regulated, dedicated, or BYOC environments with uptime, audit, compliance, or contractual requirements.
- Strong incident response, distributed-systems debugging, root-cause analysis, and technical communication skills.
- Experience leading, mentoring, or technically guiding junior platform engineers.
- Preferred experience with Istio, Envoy, ArgoCD, Flux, OPA, stateful distributed systems, Kafka, GPU-backed inference workloads, compliance controls, cost optimization, capacity planning, open-source infrastructure tooling, or internal developer platforms.
Benefits
- Work-from-home expense support.
- Health insurance options.
- Generous paid time off.
- Flexible hours.
- Generous equity.
Tech Stack
AmbassadorApache CassandraApache KafkaAWSAzureGitHub ActionsGoGoogle Cloud PlatformHelmIstioKubernetesPostgreSQLPrometheusPythonTerraform
Categories
DevOpsSite Reliability
About Skyflow
Skyflow builds a data privacy and runtime AI data control platform for enterprises, securing sensitive data across applications, data stores, and AI models/agents. Its SaaS APIs provide capabilities like vaulting, tokenization, data governance, and data residency to enable safe AI deployment and compliance. Founded in 2019 and headquartered in Palo Alto, it serves Fortune 500s and SaaS providers in financial services, healthcare, retail, travel, and hospitality.