Web Architect

We are seeking a highly skilled Web Application / DevOps Architect to drive the development architecture and middleware strategy of our digital platforms. In this role, you will spend less time on basic cloud administration and more time designing resilient application frameworks, distributed messaging systems, and data routing layers. You will serve as the technical bridge between core application developers and infrastructure engineers, ensuring that code architectures natively leverage DevOps automation.
Key Responsibilities
Application Framework Architecture: Design modular, scalable web application structures utilizing microservices, event-driven architectures, and domain-driven design principles.
Middleware & Integration Engineering: Architect and manage enterprise middleware, including message brokers, API gateways, enterprise service buses (ESBs), and data distribution fabrics.
Developer Experience (DevEx) Automation: Build local development environments (e.g., containerized dev stacks) and automated testing gates to accelerate daily engineering workflows.
API Strategy & Governance: Establish high-performance API architectures, cross-service communication protocols, and strict versioning standards across all platforms.
State & Cache Optimization: Design distributed caching strategies, session management flows, and database connection pooling to minimize application latency.
Continuous Code Delivery: Collaboratively build automated CI/CD pipelines that handle complex code builds, integration testing, and blue-green application deployments.
Required Technical Skills
Application Development: Deep expertise in full-stack backend languages like Node.js, Java (Spring Boot), Go, or Python (FastAPI).
Messaging & Event Middleware: Advanced proficiency with message queues and event streaming systems such as Apache Kafka, RabbitMQ, or AWS EventBridge.
API Management: Hands-on experience configuring API Gateways and proxies like Kong, Apigee, NGINX, or Envoy.
Data & Caching Layers: Expert knowledge of distributed caches and data grids, specifically Redis, Memcached, or Hazelcast.
Container Integration: Master-level skills in Docker and Kubernetes, specifically optimizing container lifecycle events and service-mesh communications (e.g., Istio, Linkerd).