Senior Platform Engineer – DevOps

This is a fully remote position, open to applicants in Mexico, +2 more countries.

📋 Description

• Redesign and document AWS and Azure infrastructure utilizing OpenTofu/Terraform and Ansible.

• Set module standards, establish remote state, and implement GitOps-based plan/apply pipelines.

• Review cloud environments against the AWS and Azure Well-Architected Frameworks and lead remediation efforts.

• Enforce policy-as-code security, tagging, and compliance guardrails.

• Develop reusable Terraform modules for compute, networking, storage, databases, and identity management.

• Establish FinOps standards, create cost allocation dashboards, provide rightsizing recommendations, and plan for reserved capacity.

• Design and implement observability across metrics, logs, traces, dashboards, and OpenTelemetry.

• Define SLIs and SLOs, create error budget dashboards, and set up burn-rate alerting.

• Implement SRE practices, including runbooks, post-incident reviews, and chaos engineering exercises.

• Collaborate with engineering teams on service instrumentation, alerts, and operational dashboards.

• Develop capacity planning models for compute and storage.

• Launch and maintain a developer portal featuring a service catalog, scaffolding templates, runbooks, API documentation, and on-call ownership.

• Create streamlined processes for service creation, Kubernetes deployment, database provisioning, secrets management, and CI/CD setup.

• Manage CI/CD platform templates, reusable workflow libraries, container build and scan pipelines, and environment promotion workflows.

• Operate EKS and/or AKS clusters, implement Helm standards, admission controllers, RBAC, network policies, and service mesh.

• Develop self-service provisioning using Backstage scaffolder actions and Terraform automation.

• Assess platform adoption and refine golden paths based on engineering feedback.

• Assist in migrating workloads onto the platform.

• Integrate security through IaC scanning, secrets management, RBAC, and container hardening.

• Produce technical documentation, architecture decision records (ADRs), and runbooks.

• Mentor junior platform engineers and participate in architecture reviews and build-vs-buy evaluations.

⛳️ Requirements

• Over 5 years of experience in platform, infrastructure, or DevOps engineering with direct production responsibility on AWS and/or Azure.

• Extensive proficiency in OpenTofu/Terraform, including module creation, state management, workspace strategies, remote backends, and CI/CD integration.

• Strong experience in Kubernetes operations, particularly with EKS and/or AKS, including cluster lifecycle management, Helm, admission controllers, RBAC, network policies, and autoscaling.

• Practical observability experience with at least two of the following: Prometheus, Grafana, Loki, Tempo, Datadog, or OpenTelemetry, focusing on SLI/SLO definition and alert engineering.

• Experience in CI/CD platforms, specifically with GitHub Actions for pipeline development, reusable workflow design, and ownership of container build/scan pipelines.

• Familiarity with GitOps methodologies using ArgoCD or Flux for continuous delivery in Kubernetes environments.

• Experience with IDP solutions like Backstage or similar developer portals, including GitHub, scaffolding templates, service catalog design, and self-service provisioning tools.

• Security-oriented experience in policy-as-code, IaC scanning, secrets management, container hardening, and shift-left security practices.

• Excellent communication and documentation skills, with the ability to present architectural decisions to engineering teams and leadership effectively.

• Desirable: Knowledge of chaos engineering, error budget management, incident command, and capacity planning.

• Desirable: Familiarity with Istio or Linkerd, including mTLS, traffic management, and observability integration.

• Desirable: Experience with FinOps tools and reserved capacity planning.

• Desirable: Understanding of AI/ML infrastructure basics, LLM API integration, or model serving.

• Desirable: Certifications in AWS, Kubernetes, Azure, or Terraform.

• Desirable: Proficiency in Python or Go for platform tooling and CLI development.

🏝️ Benefits

• Remote work opportunities within Mexico, Brazil, or Argentina.

• Full-time employment.