About the role
- Define architecture vision, governance, standards, and major technical decision processes.
- Lead architecture for LMS, ERP, community, mobile, SaaS, and AI-enabled platforms.
- Design microservices, event-driven, API-first, distributed, real-time, and high-availability systems.
- Govern AWS, Kubernetes, CI/CD, DevSecOps, observability, reliability, and DR architecture.
- Own PostgreSQL, MongoDB, Redis, search, analytics, and data-warehouse architecture decisions.
- Drive AI architecture using LLMs, RAG, agents, MCP, vector databases, AI search, tutors, and automation.
- Lead migration and modernization with zero-downtime rollout, rollback, ETL, validation, and incremental sync.
- Mentor senior engineers, conduct architecture reviews, support hiring, and align engineering with product/business goals.
- EdTech, LMS, School/College ERP, assessments, community/marketplace platforms, GovTech, AI products.
- LangChain, CrewAI, AutoGen, Flowise, n8n.
- Bachelor's required; Master's, AWS, and architecture certifications preferred.
- 10-15+ years overall experience.
- 8-12 years software development.
- 5+ years architecture experience.
- 5+ years AWS architecture.
- 3+ years AI/LLM experience.
- 4+ years team leadership.
- Languages/Apps: Node.js, Python, JavaScript/TypeScript, Flutter, ReactJS.
- Architecture: Microservices, DDD, SaaS, distributed systems, API-first, HA, real-time systems.
- Cloud/DevOps: AWS, Docker, Kubernetes, Helm, GitLab CI/CD, GitHub Actions, IaC, release strategy.
- Security/Reliability: DevSecOps, secrets, compliance readiness, monitoring, alerting, auto scaling, DR.
- Databases: PostgreSQL, MongoDB; preferred Redis, Elasticsearch, ClickHouse, data warehouse.
- AI: OpenAI, Claude, Gemini, Llama; RAG, agents, MCP, vector DBs, AI workflows.
- Governance: Jira, Agile, SDLC governance, architecture reviews, engineering standards.