Aarvi Encon
Software Solution Architect
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹1,500,000 – ₹3,000,000 / year
Location:
Navi Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
31 August 2026
What they need
Job Opening for a Software Solution Architect
Department: Technology
Designation/Grade: Manager
Reports To: Operation Head
Location: Navi Mumbai
Qualification • EdTech, LMS, School/College ERP, assessments,
community/marketplace platforms, GovTech, AI products.
- LangChain, CrewAI, AutoGen, Flowise, n8n.
Bachelor's and Master's, AWS, and architecture certifications preferred.
Experience • 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.
Roles & Responsibilities
• 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.
Skills required • 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.
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