Architect and operate multi-region deployments across AWS, GCP, or Azure
Build and maintain high-throughput telemetry ingestion pipelines
Design autoscaling and failover strategies for mission-critical services
Own observability systems including Prometheus, Grafana, and distributed tracing
Improve MTTR and operational readiness processes
Manage CI/CD pipelines, GitOps workflows, and automated deployments
Collaborate with backend teams on API performance and infrastructure reliability
Harden infrastructure for security, compliance, and tenant isolation
Drive long-term infrastructure roadmap and architectural direction

Deep experience with Kubernetes, Docker, and container orchestration
Strong background in distributed systems and multi-region architectures
Experience with high-ingest, streaming, or event-driven systems
Hands-on experience with Prometheus, Grafana, and tracing/alerting frameworks
Proficiency with Terraform or similar infrastructure-as-code tools
Experience building and maintaining CI/CD pipelines
Strong understanding of AWS, GCP, or Azure
Python or Go scripting for automation and tooling
Experience operating high-availability, production-critical systems
Cloudflare (DNS, CDN, WAF, SSL)
Helm, Kustomize, or similar Kubernetes tooling
Experience with time-series databases, vector databases, or high-throughput storage systems
Background in SRE, platform engineering, or observability tooling
Experience supporting AI/ML workloads or GPU-based systems
Familiarity with OpenTelemetry, Jaeger, or similar distributed tracing frameworks

Significant ownership over core infrastructure decisions
A senior engineering team with low overhead and direct collaboration
Fast-paced environment with measurable impact
Competitive compensation and meaningful equity
Opportunity to architect infrastructure for a category-defining observability platform

Senior DevOps, Infrastructure Engineer

Key skills