Hi, I'm Diego.

Infrastructure, platform, and site reliability engineer with 10+ years of experience building and operating scalable systems, and a track record of leading engineering teams.

I have put AI tooling into production to improve how teams build and ship software, worked at early-stage startups where I standardized processes from scratch, and at large corporate environments with strict procedures and compliance requirements.

Having worked as both a software developer and an infrastructure engineer, I have a thorough understanding of the entire software delivery lifecycle.

Interested in leadership positions such as Staff Engineer, Principal Engineer, or Head of Platform.

I encourage you to read my manifesto to see if my engineering mindset aligns with your company's values.

Current role

Platform Engineering Lead at Maisa AI

  • Leading a team of 6 infrastructure engineers and reporting directly to the CTO.
  • Driving AI adoption across the SDLC, improving engineering speed, developer productivity, and delivery quality.
  • Building production-grade AI workflows with LiteLLM, Claude Code, OpenCode, and OpenClaw: agents, plugins, skills, and commands for internal engineering use cases.
  • Operating the platform on AWS, supporting both Maisa's own SaaS product and customer-deployed Helm chart installations.
  • Driving FinOps and cloud cost optimization: keeping spend visible, cutting waste, and making sure infrastructure costs actually make sense.
  • Administering Jira across the organization, including project configuration, workflows, automations, and board management.
  • Implementing security and compliance standards including SOC 2 and ISO 27001.
  • Collaborating with developers to design and operate the full CI/CD lifecycle with GitHub Actions.
  • Releasing and maintaining a public Helm chart, managing production Kubernetes and OpenShift workloads with Karpenter, and operating ArgoCD for continuous delivery.
  • Provisioning infrastructure with Terraform, Terragrunt, Pulumi, and Crossplane using a GitOps approach.
  • Building and operating monitoring and observability with Grafana, Mimir, Loki, Tempo, and OpenTelemetry.
  • Working primarily with Go, Python, and TypeScript.

Open source

Links