I'm Dara Shoyinka, a DevOps & Platform Engineer with 6 years of experience based in New Jersey. I build and maintain the infrastructure, pipelines, and platforms that engineering teams rely on to ship software fast and reliably.
My work sits at the intersection of infrastructure automation, container orchestration, and developer experience — designing systems that scale, self-heal, and get out of developers' way.
I hold a B.Sc. in Physiology and was formerly a Certified Medical Coder before pivoting fully into tech. I completed my software engineering foundation at Flatiron School, which gave me the coding instincts that now make me a stronger infrastructure engineer.
Design and maintain automated build, test, and deploy pipelines that reduce release cycle times and eliminate manual toil.
Containerize applications with Docker and orchestrate workloads at scale using Kubernetes across dev, staging, and production.
Provision and manage cloud infrastructure declaratively with Terraform — versioned, repeatable, and peer-reviewable like application code.
Instrument systems for visibility using metrics, logs, and traces. Build dashboards and alerting that surface the right signal at the right time.
Implement secrets management, RBAC, network policies, and supply chain security practices across the platform layer.
Build internal platforms and tooling that reduce cognitive load for engineering teams — from local dev environments to production deploy workflows.
Designing, deploying, and managing production Kubernetes clusters. From workload scheduling and auto-scaling to RBAC, network policies, ingress controllers, and multi-namespace environments.
Building end-to-end automated pipelines that take code from commit to production — lint, test, build, containerize, push, deploy. Rollback strategies and environment promotion built in.
Provisioning and managing cloud infrastructure declaratively. VPCs, IAM roles and policies, compute, storage, DNS, and CDN — versioned, peer-reviewed, and repeatable across environments.
Instrumenting systems for full observability — metrics, logs, and traces. Building dashboards that surface the right signal and alerting that pages on what matters, not noise.
Implementing least-privilege IAM frameworks, secrets management, container image scanning, vulnerability remediation, and network segmentation across the platform layer.
Eliminating toil through automation — from Bash scripts and Python tooling to Ansible playbooks for configuration management across fleets of servers and environments.
Whether you're looking for a DevOps or Platform Engineer, want to collaborate on infrastructure work, or just want to connect — my inbox is open.