Offer summary

Qualifications:

Proven experience in solution architecture, particularly with full-stack and cloud-native applications., Strong proficiency in Node.js and Python, especially for backend APIs and AI integration., Familiarity with AWS services such as EC2, Lambda, S3, and API Gateway., Experience in API security, performance optimization, and system observability..

Key responsibilities:

Design and implement solution architecture for microservices and cloud-native applications.

Develop and optimize backend APIs using Node.js and integrate Python for AI workflows.

Coordinate with cross-functional teams to ensure alignment on project goals and deliverables.

Create technical documentation and architecture diagrams to support project development.

We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.

Job description

Position: Technical Architect (Node/Python)
Location: 100% Remote
Duration: Long Term

Technical Architect
Description for Internal Candidates
• Solution architecture (full-stack, cloud-native, microservices)
• Node.js (JavaScript) backend APIs
• AWS infrastructure (EC2, Lambda, S3, API Gateway, IAM)
• Python integration for AI and data workflows
• AI/LLM orchestration (prompt design, validation, scoring) on AWS
• API security and performance optimization
• System observability, monitoring, and logging setup
• Technical documentation and architecture diagramming
• Cross-team coordination (BE, AI, Data, FE)
• Stakeholder communication and roadmap planning
• Good to have
o Data pipeline understanding (aligned with Databricks)
o React/Next.js architecture and SSR
o CI/CD pipeline design and deployment

Required profile