Solution Architect (In office, Astana)

About MDiet

MDiet is a US-focused health-tech startup developing an AI-powered platform designed to prevent avoidable hospital readmissions through personalized, evidence-based nutrition and medication–food interaction guidance.

Our mission is to improve patient outcomes and reduce healthcare costs for healthcare providers, health systems, and insurers.

As the company grows, there may be opportunities for relocation and immigration to the United States.

About the Role

We are looking for an experienced, hands-on Solution Architect to take ownership of the technical architecture of our healthcare platform.

As one of our early engineering leaders, you will design and help build a scalable, secure, production-ready system from the ground up.

This is not a purely advisory or managerial position. We need an architect who can make critical technical decisions, write production code, establish engineering standards, and work closely with backend, AI, and infrastructure engineers.

You will have significant influence over our architecture, technology choices, and long-term engineering strategy.

What You Will Do

• Own system architecture: Design scalable, reliable, maintainable backend systems using Golang, Python, and AWS.

• Build production services: Actively develop core services, APIs, and integrations alongside the engineering team.

• Design healthcare integrations: Architect interoperability with US healthcare systems using FHIR, HL7, and relevant healthcare APIs.

• Lead cloud architecture: Design secure, cost-efficient AWS infrastructure, including networking, compute, databases, storage, and deployment.

• Establish security and compliance foundations: Implement architectural controls supporting HIPAA and SOC 2 requirements, including encryption, access control, audit logging, and data protection.

• Define engineering standards: Establish architectural guidelines, code review practices, testing strategies, CI/CD processes, and observability.

• Make architectural decisions: Evaluate trade-offs involving performance, scalability, reliability, security, complexity, and infrastructure costs.

• Integrate AI capabilities: Design backend infrastructure and APIs for AI-powered services in collaboration with our dedicated AI Lead.

• Provide technical leadership: Mentor engineers, review architectural decisions, and maintain technical consistency across the platform.

Tech Stack

Core Backend

• Golang (primary backend language)

• Python (FastAPI, AI service integration)

• REST APIs, gRPC, asynchronous processing

Databases & Messaging

• PostgreSQL

• Redis

• Kafka / RabbitMQ or equivalent messaging technologies

Cloud & Infrastructure

• AWS (primary cloud provider)

• Docker, Kubernetes / Amazon EKS

• Terraform (Infrastructure as Code)

• GitLab CI/CD

• Monitoring and observability (Prometheus, Grafana, OpenTelemetry)

Security & Healthcare

• OAuth 2.0 / OpenID Connect

• IAM, encryption, secrets management

• HIPAA / SOC 2 security principles

• FHIR / HL7 healthcare interoperability

We value strong architectural judgment over familiarity with every technology listed. Specific infrastructure and messaging choices will evolve with the platform.

Requirements

Must-have

• Strong system design and architecture experience: Proven ability to design and deliver complex production systems, ideally from scratch.

• Strong Golang experience: Ability to design, implement, and review production-grade backend services.

• Python proficiency: Experience building services or integrations using Python, preferably FastAPI.

• AWS architecture expertise: Practical experience designing and operating cloud infrastructure, including security, networking, compute, and databases.

• Distributed systems knowledge: Understanding of service communication, asynchronous processing, fault tolerance, scalability, and consistency.

• Database design: Strong understanding of PostgreSQL, data modeling, indexing, transactions, and performance optimization.

• Security-first mindset: Experience designing secure APIs, authentication, authorization, and data protection mechanisms.

• Hands-on engineering approach: Willingness to write code, troubleshoot complex problems, and participate in implementation.

• Technical ownership: Ability to independently evaluate trade-offs, document architectural decisions, and drive implementation.

• English B2 or higher: Comfortable with technical documentation and verbal communication with US partners.

Nice-to-have

• Experience building healthcare platforms or integrating with FHIR / HL7.

• Practical knowledge of HIPAA, SOC 2, or other regulated environments.

• Experience with AI/LLM integration, RAG, embeddings, vector databases, or agent-based systems.

• Experience with AWS cost optimization and infrastructure scaling.

• Experience establishing engineering practices in early-stage startups.

• Experience mentoring engineers or leading small technical teams.

• Understanding of frontend architecture and API integration patterns.

What We Offer

• $4,000–$4,500 USD net per month (after taxes) + equity participation.

• Opportunity to architect a US-focused healthcare platform from its early stages.
• High technical ownership and direct influence over architecture, infrastructure, and engineering decisions.

• Close collaboration with the founding team and AI engineering leadership.

• Opportunity to work on complex challenges involving healthcare data, distributed systems, security, and AI.

• Professional growth as the engineering organization expands.

• Potential opportunities for relocation to the United States as the company grows, subject to business needs and immigration eligibility.

How to Apply

Please share your CV, GitHub profile (if available), and a brief description of a complex system you have designed or helped build.

Application Note: To confirm that you have read this description carefully, please include the answer to the question "two plus two" in your application.