DevOps Engineer

Sourced from feeny.ai

BusPatrol is hiring a hands-on Senior DevOps Engineer to build and evolve its engineering platform across infrastructure, CI/CD, observability, cloud security, and developer workflows. The role centers on Kubernetes-based platforms and production MLOps, enabling machine-learning workloads to move reliably into production. You will help modernize the platform and support an AI-native SDLC with secure, repeatable delivery practices.

• Design, provision, and maintain cloud infrastructure using infrastructure-as-code patterns and secure platform standards
• Build and operate Kubernetes platforms and workloads, including reliability, scaling, upgrades, and operational readiness
• Establish repeatable deployment and operational patterns for ML workloads such as model serving and inference services
• Build and harden CI/CD pipelines with automated security scanning, dependency checks, and policy enforcement
• Strengthen observability across applications, Kubernetes platforms, and infrastructure with logs, metrics, traces, and alerts
• Improve developer experience through self-service tooling, templates, documentation, and workflow automation
• Participate in incident response, root-cause analysis, and continuous improvement

• 5+ years in DevOps, Platform Engineering, SRE, or cloud infrastructure roles
• Hands-on experience with AWS and modern infrastructure automation
• Experience with Terraform, AWS CDK, or comparable infrastructure-as-code tooling
• Experience building and maintaining CI/CD pipelines in GitHub Actions or similar systems
• Substantial hands-on experience with Kubernetes in production, MLOps, or both
• Working knowledge of observability tooling, monitoring, and production operations
• Familiarity with cloud security controls, secrets handling, and secure release workflows
• Strong written documentation habits and an automation-first mindset

• Hands-on experience across both Kubernetes platform operations and MLOps
• Experience supporting Kubernetes in AWS, such as EKS
• Experience with platform modernization toward microservices architectures
• Experience with policy-as-code, automated security gates, or compliance-oriented controls
• Exposure to AI-assisted engineering workflows or spec-driven development
• Experience improving developer self-service through internal platforms or golden-path patterns