Solution Architect

Design and implement scalable, secure, and maintainable system architectures aligned with business and product

.

Apply modern architecture patterns such as Domain-Driven Design (DDD), Event Driven Architecture, and Microservices to solve real-world engineering problems.

Lead the architecture and technical design of cloud-native applications on AWS and/or Azure, ensuring high availability, performance, security, and cost efficiency.

Work closely with cross-functional Agile/Scrum teams including Product Owners, Business Analysts, Developers, QA, and DevOps to deliver high-quality solutions.

Translate business

requirements:into clear technical architecture and system design specifications.

Conduct design and code reviews to ensure adherence to architectural principles, coding standards, and security best practices.

Provide hands-on technical guidance and mentorship to engineers and technical team members.

Collaborate with DevOps teams to ensure effective CI/CD pipelines, infrastructure automation, and cloud deployment practices

Evaluate and recommend relevant technologies, tools, and frameworks to improve system quality and delivery efficiency.

Contribute to continuous improvement of engineering practices, architecture standards, and development processes.

REQUIREMENTS: 1. Must have:

Experience in Agile/Scrum and AWS/Azure + Kubernetes.

Strong understanding and practical application of: o Domain-Driven Design (DDD), Event-Driven Architecture, Microservices o Cloud-native architecture principles

Experience designing and delivering production systems in at least one backend technology: .NET, Java (Spring/Quarkus/Micronaut), Python, Go, Node.js

Good understanding of CI/CD pipelines, DevOps practices, and infrastructure-as-code concepts.

Ability to design system architecture using C4 Model and/or UML diagrams. 2. Nice to have:

Experience with Kafka/Event streaming

Multi-cloud or large-scale systems

Experience using GenAI-powered development tools (e.g., AI-assisted coding, code generation, review automation) to improve software delivery efficiency.

Experience in designing or integrating AI agents (Agentic AI) into software development workflows, such as automated coding assistants, testing agents, or DevOps automation agents Personal

Qualifications:

Strong leadership, mentoring, and coaching skills

Good communication and problem-solving

High ownership and willingness to learn

Proactive, collaborative, and continuously improving engineering practices.

Passionate about modern software architecture and cloud technologies.

Health Insurance

Career Path

Annual Leave

Training/Certification

Team-building events