Related skills
terraform aws python kubernetes gcp📋 Description
- Own end-to-end delivery of platform initiatives from design to deployment.
- Own Kubernetes at depth: clusters, networking, operators, container lifecycle.
- Design, develop, and optimize distributed services on AWS and/or GCP.
- Drive code quality, design reviews, automation, and CI/CD best practices.
- Collaborate with Product, AI, and Security to align architecture with objectives.
- Mentor engineers on architecture decisions, trade-offs, and delivery.
🎯 Requirements
- 6+ years of software engineering with backend and infrastructure focus.
- Strong programming skills in Python and/or Go for production code.
- Deep, hands-on Kubernetes experience—building and operating clusters.
- Proven experience designing and operating distributed systems in production.
- Cloud-native fluency across AWS and/or GCP.
- Infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
🎁 Benefits
- Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
- Multi-cloud or hybrid infra experience (AWS, GCP, on-prem).
- API gateways, AI gateways, ABAC/OPA policy frameworks.
- Service mesh or platform-as-a-service design experience.
- Track record of improving engineering productivity at scale.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!