Principal AI-Native Full-Stack Architect

New

SpektraSaaS software

Remote across IndiaFull-TimePrincipal

Salary not disclosed

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Job Details

Languages: Clear written English
Experience: 10+ years in software, including 3+ as an architect or tech lead on multi-tenant SaaS, and atleast 6+ months shipping production software mainly through AI coding agents.
Required Skills: PythonMicrosoft SQL ServerTypeScriptC#AzureAngularNext.jsReact

Have 10+ years of software experience.
Have 3+ years as an architect or tech lead on multi-tenant SaaS.
Have at least 6 months of experience shipping production software mainly through AI coding agents.
Have deep, current experience with ASP.NET Core, C#, SQL Server, and Angular.
Have deep, current experience with TypeScript, React/Next.js, and Python.
Have proven multi-tenant SaaS architecture experience, including tenant isolation, RBAC/entitlements, white-labelling, and API versioning.
Know OAuth 2.0/OIDC, Azure AD B2C or Entra, session design, OWASP Top 10, and secrets management.
Have production Azure experience with Container Apps or AKS, App Service, Front Door or App Gateway, Key Vault, managed identities, and Bicep or Terraform.
Have demonstrated daily use of AI coding agents to ship production systems, including multi-agent or parallel workflows.
Be able to write precise specifications and acceptance criteria, and standing instructions that keep codebases consistent across agent sessions.
Have clear written English for ADRs, specifications, and review comments.
Nice to have experience building MCP servers, agent skills, custom agent tooling, or LLM products in production.

Own the target architecture for core services and independently deployed modules.
Define module contracts, including manifests, APIs, events, shared shell, branding, and module data boundaries.
Record architecture decisions covering routing, identity, data, and hosting.
Plan incremental migration from legacy V1 services to vNext with rollback paths.
Design the agent-driven workflow from specifications through implementation, automated checks, review, and deployment.
Maintain agent context, architecture rules, coding standards, and the golden module template.
Set automated quality and security guardrails for agent-generated changes.
Review high-risk changes involving identity, tenant isolation, payments, infrastructure, and data migrations.
Define threat models, SLOs, observability, incident practices, and infrastructure-as-code requirements.
Architect AI-powered product features and integrate model providers with evaluations, guardrails, and cost controls.
Coach developers on specification writing, agent orchestration, and critical review.

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