Senior Software Engineer, Operations – LATAM

Posted 15 hours ago

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Manage and enhance regional Kubernetes clusters along with cloud infrastructure that supports customer Qdrant clusters across AWS, GCP, and Azure.

• Take part in a follow-the-sun on-call rotation covering time zones in the Americas.

• Address incidents, spearhead root cause analysis, and implement corrective measures.

• Automate repetitive manual operations and create self-service tools using Go and infrastructure-as-code methodologies.

• Launch new and dedicated Qdrant Cloud regions.

• Enhance monitoring, alerting, and operational runbooks.

• Boost fleet reliability, performance, and cost-efficiency, including optimizing instance types, storage, and capacity.

• Draft infrastructure design documents and oversee changes through review and deployment across teams.

• Refine incident management, postmortem processes, and daily operational practices.

• Assist in onboarding engineers in LATAM.

• Occasionally participate in customer calls to troubleshoot escalations.


⛳️ Requirements

• Over 5 years of experience in SRE, infrastructure, platform engineering, or DevOps roles, managing production systems.

• Strong experience in running Kubernetes in a production environment, including stateful workloads or databases, and troubleshooting issues.

• Practical experience with at least one major cloud provider (AWS, GCP, or Azure), covering VPCs, load balancing, DNS, and PrivateLink / Private Service Connect.

• Experience in production software development using Go or another language with a readiness to transition to Go.

• Familiarity with infrastructure-as-code tools (Terraform/Crossplane or similar), CI/CD practices, and GitOps.

• On-call experience managing production incidents utilizing metrics, logs, and alerting tools (Prometheus, Grafana, OpenTelemetry, or similar), along with incident documentation.

• Proficient in written and spoken English.

• Capability to utilize AI coding and operations tools and validate their outputs.

• Experience in building or debugging Kubernetes operators or controllers is a plus.

• Experience handling GPU workloads on Kubernetes is also a plus.


🏝️ Benefits

• Compensation for on-call duties.

• Competitive salary with additional benefits.

• Flexible working hours.

• An asynchronous-friendly work culture.

• Option to select your own laptop equipment.

• For full-time US-based employees: 401(k) matching.

• For full-time US-based employees: health, dental, and vision insurance.

• For full-time US-based employees: a flexible PTO policy.

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