We are seeking a DevOps Engineer with expertise in architecting, building, and managing cloud-native infrastructure for geographically distributed, event-driven systems that process high volumes of real-time events.

In this role, you will take a hands-on technical leadership approach to designing and optimizing a highly available, fault-tolerant infrastructure that supports large-scale microservices and event-driven workloads. You will collaborate closely with backend engineers working in a Go-based stack and system architects to ensure scalability, security, and operational efficiency across multiple cloud environments.

Responsibilities:

- Contribute to the design, implementation, and operation of scalable and highly available Kubernetes infrastructure.
- Build and maintain cloud-agnostic Kubernetes environments optimized for real-time, high-throughput event processing.
- Develop resilient distributed systems and implement automated scaling strategies to support changing workloads.
- Support and optimize event streaming infrastructure for performance, reliability, and security.
- Implement GitOps workflows and automate deployments, rollbacks, and infrastructure updates using Terraform/OpenTofu.
- Deploy and manage relational (PostgreSQL, MySQL) and non-relational (MongoDB, Redis) databases within Kubernetes.
- Support monitoring, logging, and observability solutions for platform health and performance.
- Support Kubernetes security, networking, traffic management,



and troubleshooting in production environments.

Qualifications

- 3+ years of experience designing and implementing Kubernetes infrastructure for large-scale, event-driven systems.
- Strong experience with Kubernetes orchestration, including networking, security, and scaling concepts.
- Experience deploying and operating Kubernetes workloads in AWS.
- Strong Infrastructure as Code (IaC) experience with Terraform or OpenTofu.
- Hands-on experience with GitOps tools (e.g., Flux, ArgoCD) and automated CI/CD deployments for Kubernetes.
- Robust Linux administration, networking, and troubleshooting skills.
- Proficiency in Helm for packaging and deploying Kubernetes applications.
- Experience with event streaming and messaging technologies (e.g., Kafka, NATS, RabbitMQ or similar messaging systems) for real-time data processing.
- Familiarity with Service Mesh technologies (e.g., Istio, Linkerd, Consul) for networking and security.
- Ability to collaborate with Go-based backend teams to optimize infrastructure automation and performance.

Nice to Have
- Observability tools experience (Prometheus, Grafana, Loki, ELK).
- Experience with advanced Kubernetes security practices (e.g., OPA/Gatekeeper, secrets management, network segmentation).
- Experience with networking, traffic management, and security solutions (e.g., NGINX Ingress Controller, Cilium, Calico).
- Multi-region deployment experience.

📌 Senior Data Architect (Greater Toronto Area)
🏢 Miratech
📍 Greater Toronto Area