Application Architect – Enterprise Integration & Cloud Solutions

About the role

We are looking for an Application Architect to lead the design of enterprise‑scale applications, integration platforms and cloud‑native solutions. The role involves shaping architectural standards, driving modernization, and ensuring secure, resilient, and maintainable systems across distributed environments.

Key responsibilities

• Define and maintain application architecture principles, standards and best practices.
• Design scalable, secure, highly available APIs and integration services.
• Lead the implementation of micro‑services, event‑driven and domain‑driven designs.
• Collaborate with engineering teams, product owners and business stakeholders to translate requirements into technical solutions.
• Mentor technical teams, influence architectural decisions and promote engineering excellence.
• Implement observability, monitoring, logging and tracing across the platform.
• Drive adoption of AI‑enabled components such as LLMs, RAG and semantic search.

Required profile

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 10+ years of software engineering experience with 5+ years in architectural or technical leadership roles.
• Proven track record designing enterprise integration platforms and distributed systems.
• Strong communication, leadership and stakeholder‑management skills.

Required skills

• API Architecture, Enterprise Integrations, REST, OpenAPI, OAuth2, OIDC.
• Domain‑Driven Design, Event‑Driven Architecture, CQRS, Event Sourcing, Saga Patterns.
• Microservices, Distributed Systems, Test‑Driven Development.
• Cloud‑Native Architecture on Microsoft Azure (APIM, Functions, Service Bus, Event Hubs, AKS, SQL, Application Insights, AI Services).
• Messaging platforms: Kafka, Azure Service Bus, Event Hubs, RabbitMQ.
• Observability tools: OpenTelemetry, logging, tracing, telemetry.
• AI technologies: Large Language Models, Retrieval‑Augmented Generation, AI Agents, Prompt Engineering, Vector Databases, Semantic Search.