Senior Data Architect

Job Description
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.
Strong 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.

Work arrangement
Yes