Platform Engineer (DevOps)
Core
Design and build the platform for agentic engineering, including guardrails, golden paths, evaluations, and cost controls, to enable engineers to safely deploy AI agents.
Role type
Senior Platform Engineer (DevOps & Agentic Engineering)
Builds
Platform infrastructure for AI agents, golden paths for human engineers, and support for data science/AI workloads
Domain
FoodTech / AI Infrastructure / Cloud & Edge
Deliverable
production ML models | infrastructure
Required skills
Infrastructure as Code (Terraform, Terragrunt), Container orchestration (ECS, Kubernetes), Cloud platforms (AWS, GCP), Linux/Networking fundamentals, CI/CD pipeline design, Python or Go, Bash scripting, AI agent usage and evaluation
Preferred skills
Observability (OpenTelemetry, Grafana, ELK), GitOps (ArgoCD, Flux), ML pipelines (Airflow, SageMaker, MLflow), LLM infrastructure (inference serving, evals, gateways), SecOps (container scanning, secrets management), Cost optimization, IoT/edge fleet operations, Database management (Postgres, MySQL, Redshift)
Technologies
AWS, GCP, Azure, Terraform, Terragrunt, ECS, EKS, ELK, Grafana, Airflow, SageMaker, Aurora Postgres, MySQL, Redshift, Timescale, Mongo, DynamoDB, Docker, Jenkins, SonarQube, New Relic, BitBucket, JIRA, Confluence
Responsibilities
Design platform guardrails and golden paths for agentic engineering; Build and maintain CI/CD pipelines for faster, safer deployments; Support data science and AI workloads including GPU scheduling; Debug complex issues across clouds, databases, containers, and edge devices; Optimize cloud and GPU costs; Collaborate with global engineering teams to improve deployment practices
Seniority
Senior, hands-on IC