Experience: 6–8 years in SRE, Platform Engineering, or DevOps in senior or technical leadership roles.
Cloud & Infrastructure: Deep expertise in AWS (EKS, Lambda, CloudWatch) and multi-region architecture.
Infrastructure as Code: Proficiency in Terraform and GitOps practices.
Observability: Advanced operational proficiency with Datadog (dashboards, tracing, and SLO management).
Containerization: Solid experience with Docker and Kubernetes.
CI/CD & IDP: Experience with CI/CD tools (Bitbucket Pipelines or GitHub Actions) and internal developer platforms like Backstage or Compass.
Automation: Demonstrated proficiency in Python and/or Bash scripting.
Professional Skills
Leadership: Ability to independently lead strategic reliability initiatives.
Problem Solving: A "first principles" approach to resolving complex technical issues.
Mentorship: A strong commitment to mentoring junior and intermediate engineers.
Communication: Excellent verbal and written communication skills to engage stakeholders across engineering, product, and leadership teams.
Job Responsibilities
AI Reliability & Operations: Manage SLOs, SLIs, and error budgets. Design and implement patterns for LLM observability and recovery to ensure the reliability of AI-agent pipelines.
Engineering Enablement: Act as the primary SRE liaison for software and AI teams. Optimize CI/CD pipelines and drive the adoption of "golden path" templates and SRE best practices across the organization.
Observability & Service Catalog: Maintain Datadog for telemetry and performance tracing of pipeline services. Manage and evolve the internal service catalog to provide clear visibility into architecture.
FinOps & Infrastructure Management: Oversee infrastructure-as-code deployments (Terraform/GitOps) while actively managing and optimizing cloud infrastructure costs in AWS.
Strategic Growth: Lead cross-team reliability initiatives, mentor team members, and ensure the engineering culture prioritizes platform robustness and technical excellence.
📌 SRE/DevOps (Provincia de Buenos Aires)
🏢 Globallogic
📍 Provincia de Buenos Aires
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