Related skills
azure java aws gcp microservices📋 Description
- Architect and integrate AI and automation: LLMs, OCR, chatbots
- Guide delivery with engineering teams; set patterns and quality
- Modernize legacy apps into microservices, containers, and serverless
- Define security, performance, resilience, observability requirements
- Collaborate with cross-functional teams to deliver end-to-end solutions
- Lead architecture discussions with senior stakeholders; present recommendations
- Contribute to technical strategy, standards, and reusable patterns
🎯 Requirements
- 10+ years in solution architecture or senior engineering roles
- 8+ years designing large-scale distributed systems
- Hands-on with AWS, Azure, or GCP
- Microservices, APIs, containers, IaC, and DevOps pipelines
- Experience integrating AI/ML capabilities into products or workflows
- Backend: Java/Kotlin, Spring Boot; Python/Go bonus
- Ability to work across hybrid environments and modernize legacy systems
- Excellent communication; comfortable presenting to tech and business stakeholders
🎁 Benefits
- Real ownership of architecture decisions
- Build next-gen cloud & AI platforms
- Modern tech stack, high-impact work, lean & innovative culture
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