Dock Tech
10/2021 – present
SRE / Cloud Engineer · Specialist
Work in critical payment environments, covering cloud infrastructure, Kubernetes, reliability, observability, automation and platform evolution.
Reliability and observability
- Work on the management and improvement of a 99.98% SLO for an anti-fraud API.
- Built dashboards, data collection and proactive alerts to improve visibility of a platform that had no centralized monitoring.
- Monitoring of services and processing, including SLI, SLO, error budget, MTTR and incident response.
- Proactive monitoring initiatives associated with an approximately 20% reduction in critical incidents.
Platform and results
- Optimized components of a critical anti-fraud platform, reducing one startup process from about 42 minutes to 4–5 minutes.
- Improved a rules deployment workflow, increasing capacity from 4 to 8 and reducing execution time from about 20 to 10–11 minutes.
- Owned the infrastructure side of the anti-fraud platform version upgrade, including validation and production rollout.
Cloud, Kubernetes and IaC
- Management and support of more than 18 Kubernetes clusters on AWS EKS and Azure AKS.
- EKS upgrades, node groups and add-ons using Terraform and Ansible, with GitOps delivery through ArgoCD.
- Work with Helm, Docker, AWS CloudFormation, Azure Key Vault, External Secrets and managed Kafka services.
Automation and collaboration
- Developed Python, Flask and Bash bots and automations for health checks, operational tasks, reports and self-service.
- Technical leadership in the implementation of a solution integrated with identity, messaging and database services.
- Technical support for team members, knowledge sharing and use of generative AI in engineering activities.
Stack: AWS, Azure, EKS, AKS, Kubernetes, Docker, Helm, ArgoCD, Terraform, Ansible, CloudFormation, Jenkins, Harness, Datadog, Splunk, Prometheus, Grafana, Python, Flask, Bash, Kafka/MSK, Couchbase, Keycloak and Azure Key Vault.