3 months ago
India (city not specified)Senior
Responsibilities
- Design and build automation for end-to-end cloud infrastructure provisioning, onboarding, upgrades, scaling, and decommissioning across AWS, GCP, multi-tenant environments, and dedicated/BYOC deployments.
- Write production-grade Go and Python services and CLIs that provide self-service platform capabilities to engineering teams.
- Own and evolve the Infrastructure-as-Code stack using Terraform/OpenTofu, Helm, and GitOps/ArgoCD, including Kubernetes upgrades, node pool migrations, and service mesh changes.
- Operate and scale Kubernetes clusters, Istio, Aerospike, PostgreSQL, Kafka, and GPU-backed inference workloads with attention to capacity planning, cost efficiency, and right-sizing.
- Build observability and alerting for metrics, logs, and synthetic monitoring, and automate recurring incident remediation.
- Participate in on-call rotations, lead incident response, and produce root-cause analyses with concrete corrective actions.
- Build security and compliance guardrails including secrets management, access control, network policy, and audit logging.
- Mentor and technically guide junior and early-career platform engineers while eliminating manual and error-prone infrastructure work.
Requirements
- 8+ years of experience in platform engineering, infrastructure engineering, DevOps, or SRE roles with ownership of production cloud infrastructure.
- Strong software engineering skills in Go and/or Python, including tested and maintainable production code.
- Deep hands-on production Kubernetes experience covering workload scheduling, networking, autoscaling, and upgrades.
- Experience with Infrastructure-as-Code tools such as Terraform, Pulumi, or OpenTofu.
- Experience with at least one major public cloud: AWS, GCP, or Azure; multi-cloud experience is preferred.
- Experience building internal CLIs, provisioning frameworks, self-service portals, automation pipelines, or other tools used by engineers.
- Experience operating in enterprise, security-sensitive, regulated, or B2B environments involving dedicated/BYOC deployments, uptime SLAs, audits, or compliance requirements.
- Strong incident response, distributed-systems debugging, root-cause analysis, and technical communication skills.
- Experience with Istio or Envoy, ArgoCD or Flux, or policy-as-code with OPA is preferred.
- Experience operating Aerospike, PostgreSQL, Cassandra, Kafka, or GPU-backed inference workloads is preferred.
- Experience with cost optimization, capacity planning, autoscaling policy design, spot or preemptible usage, open-source infrastructure tooling, or internal developer platforms is preferred.
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.