Sennay
Backend & DevOps
Engineer
Building resilient distributed systems, automating infrastructure at scale, and crafting developer tooling that makes teams 10× more productive.
Core Stack
About
Who
I Am.
I'm a backend and DevOps engineer with a passion for building systems that are fast, reliable, and easy to operate. My background spans distributed systems design, cloud-native infrastructure, and developer productivity tooling.
When I'm not optimizing Kubernetes resource utilization or writing Terraform modules, I contribute to open-source projects and write about systems engineering on my blog.
Experience
Lead infrastructure modernization for multiple projects. Reduced deployment time by 70% through GitOps adoption with ArgoCD.
Designed high-throughput APIs that scaled to handle peak delivery demand.
Expertise
Skills & Tools
Technologies I've worked with across production environments and side projects.
Languages
Cloud & Infrastructure
Containers & Orchestration
CI/CD
Databases
Observability
Work
Projects
Distributed Rate Limiter
A high-performance, Redis-backed distributed rate limiter library for Go microservices. Supports sliding window, token bucket, and fixed window algorithms with sub-millisecond latency.
K8s Cost Optimizer
Kubernetes controller that continuously right-sizes pod resource requests and limits based on actual usage metrics. Reduced cloud spend by 35% across 3 production clusters.
Multi-Cloud GitOps Platform
End-to-end GitOps framework managing deployments across AWS, GCP, and Azure from a single Git repository. Integrates ArgoCD, Terraform, and automated drift detection.
Async Task Queue Engine
Production-grade distributed task queue built on PostgreSQL's SKIP LOCKED feature. Supports priorities, delayed tasks, retries, and dead-letter queues without external dependencies.
Unified Observability Stack
Helm chart and operator for deploying a complete observability stack (Prometheus, Grafana, Loki, Tempo) with pre-built dashboards and alerting rules for common services.
Event-Driven Data Pipeline
Kafka-powered real-time data pipeline processing 500K events/second. Includes schema registry, dead letter queues, and consumer lag alerting with automatic backpressure.
Contact
Let's
Talk.
I'm open to new opportunities — full-time roles, consulting work, or interesting open-source collaborations. I try to respond within 24 hours.