About Us :

At DAWN Technologies is a fast-growing technology services company building high-impact teams across Data Engineering, AI, and Backend Development. Our clients include some of the most innovative product companies in the world. We operate delivery centers in India and Vietnam, enabling rapid, high-quality execution with a product mindset.

Role Overview :

We are seeking a highly skilled Delivery - Solution Architect to join the Self-Service Automation Team, with a strong focus on automation engineering and solution ownership. The ideal candidate is both an architect and a practitioner - capable of designing automation frameworks while actively contributing to implementation.

Purpose of the Role :

- Translate requirements into automated, reusable, and scalable solutions.

- Widen and support the projects automation capabilities.

- Drive Infrastructure as Code and Application as Code standards.

- Reduce manual operations through structured, secure, and governed automation.

Key Responsibilities :

- Requirements Ownership - Solution Design

- Infrastructure as Code (IaC)

- Application as Code (AaC)

- Configuration Management - Orchestration

- Develop and maintain Ansible playbooks (YAML)

- Scripting - Job Automation

- Design and manage cron-based job scheduling

- Automation Governance - Best Practices

Required Experience :

- 10+ years in technology delivery, platform engineering, automation

- 3 - 5+ years in architectural or solution ownership roles.

- Proven experience implementing Infrastructure as Code and Application as Code frameworks.

- Experience working in enterprise or regulated environments preferred.

Technical Competencies :

Infrastructure :

- Infrastructure as Code (Terraform preferred)

Automation - DevOps :

- CI/CD pipeline integration

- Git-based workflows

- Configuration management tools (Ansible)

- Scripting (Python)

Architecture - Engineering :

- Modular design principles

- Automation pattern design

- Secure-by-design architecture

- Logging, monitoring, and observability principles