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Abdoul Aw

@abdoulaw

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Senior Site Reliability Engineer delivering reliable cloud platforms with Kubernetes, SLOs, and incident mastery.

United States

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What I'm looking for

I’m looking for a remote-first team where I can own reliability end-to-end—SLOs, incident response, observability, and DevSecOps guardrails—partnering with Security and DX to enable rapid, safe product delivery.

I’m a Senior Site Reliability Engineer with 20+ years designing and operating highly reliable, production-grade infrastructure at scale across AWS, GCP, and Azure. I’m deeply experienced in Kubernetes (EKS, GKE), Infrastructure as Code (Terraform), GitOps (ArgoCD), and full-stack observability (Prometheus, Grafana, Datadog), and I’ve owned incident management, post-incident analysis, and SLO/SLI frameworks that improved platform reliability to 97.97% and reduced MTTD by 43%.

I lead production-readiness reviews, disaster recovery exercises, and cross-functional reliability initiatives in high-growth B2B SaaS environments—partnering with Security, Developer Experience, and product engineering to embed SRE best practices, golden-path tooling, and CI/CD guardrails. I also drive DevSecOps policy-as-code controls (OPA/Gatekeeper, Kyverno), and I back it all up with measurable outcomes like reducing compute spend by 37%, while mentoring teams and thriving in remote-first, high-autonomy settings.

Experience

Work history, roles, and key accomplishments

Current

Senior Site Reliability Engineer

Current

Netstratum

Jan 2025 - Present (1 year 4 months)

Led production-readiness and reliability design reviews, defining SLO targets and rollout/rollback criteria to meet enterprise standards. Owned incident management and post-incident reviews, reducing MTTD by 43%, while building full-stack observability and disaster recovery practices that improved platform reliability to 97.97% and reduced compute spend by 37%.

AWS Terraform Prometheus Grafana Datadog Incident Management

Senior Infrastructure Engineer

Throtle

Jan 2023 - Jan 2025 (2 years)

Designed and implemented distributed compute platforms on AWS EKS, improving workload latency by 31% while achieving 97.97% SLO reliability across production pipelines. Built Terraform/Python autoscaling and IaC automation that reduced cloud costs by 37%, drove environment drift to 0%, and reduced rollout-related defects by 31%.

AWS Terraform Python AutoScaling Incident Response Distributed Systems

Senior SRE / Software Engineer

edX

Jan 2021 - Jan 2023 (2 years)

Built Python-based orchestration to automate Kubernetes provisioning, rollouts, and monitoring, eliminating manual operations by 67%. Scaled distributed microservices through refactors that reduced response latency under load by 29% and implemented self-healing remediation with Prometheus and Python.

Kubernetes Python CI CD Microservices Prometheus Observability Distributed Systems Run Books

Senior DevOps Engineer

ActiveProspect

Jan 2021 - Jan 2021 (0 months)

Built monitoring-as-code (Python + Terraform) for 500+ distributed monitors, reducing alert fatigue by 41% and improving SLO accuracy across microservices. Developed CI/CD tooling and automated validation scripts, reducing rollout-related defects by 31%.

Terraform Python Prometheus CI CD Alerting Microservices

Senior DevOps Engineer

Conno

Jan 2021 - Jan 2021 (0 months)

Implemented AWS and Kubernetes platforms using Terraform, Docker, and Helm, stabilizing production environments by 23%. Built automated diagnostics to reduce configuration drift and improve operational reliability.

AWS Kubernetes Terraform Docker Helm Diagnostics CI CD

Senior Systems / DevOps Engineer

MedAllies

Jan 2018 - Jan 2021 (3 years)

Optimized multi-tier application stacks (JVM, DB, API, Linux) via profiling and load tuning, improving peak production performance by 29% and reducing peak-load latency by 23%. Engineered highly available CI/CD pipelines using Jenkins, Docker, and Ansible, with Python/Bash automation reducing environment failures by 37%.

Linux Jenkins Docker Ansible Python CI CD Performance Engineering

Senior Linux/Unix Systems Admin

OpenText (Xpedite)

Jan 2004 - Jan 2015 (11 years)

Diagnosed complex kernel-level failures using kdump, crash analysis, and eBPF instrumentation, reducing investigation time by 43%. Tuned CPU, memory (NUMA), network, and I/O subsystems for latency-sensitive distributed applications and reduced manual diagnostics by 53% through Python/Bash tooling.

Linux Kernel eBPF Perf Events Python BASH Observability