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ScreenCloud is a cloud-based SaaS platform founded in 2015 that helps businesses manage content across digital screens at scale. With 10,000+ customers globally and 100+ employees across Bangkok, Belfast, LA, Charlotte, and London, ScreenCloud enables organizations to drive engagement and productivity through screen-based content management.
Pulse is ScreenCloud's next-generation CMS for creating, scheduling, and managing content across fleets of screens. As a Staff Software Engineer on Pulse, you will shape the technical foundation of this product—its architecture, patterns, APIs, workflows, and quality standards—while remaining hands-on in the codebase. You'll provide technical direction through design documents, mentoring, and engineering standards that enable both customer-facing product development and platform capabilities for internal teams.
Key Responsibilities:
- Own technical design and architecture of major Pulse systems across the full stack: UI, APIs, backend services, data models, infrastructure, and operational tooling.
- Shape how Pulse handles complex domains including permissions, scheduling, content workflows, moderation, auditability, multi-tenancy, and reliability at scale.
- Design and evolve backend services using Fastify, creating consistent, well-documented, observable APIs for internal and external consumption.
- Define and improve data models in Postgres using Drizzle/DrizzleKit, managing migrations, indexing, RLS, query performance, and patterns that maintain system clarity as it grows.
- Build high-performance web experiences with Next.js and Server Components, balancing speed, UX, maintainability, and server/client rendering tradeoffs.
- Manage AWS infrastructure using Pulumi, ensuring reproducibility, security, and safe changeability.
- Establish engineering standards for testing, observability, release safety, migrations, API design, frontend architecture, and documentation.
- Mentor engineers through technical design reviews, pairing, and feedback, raising decision quality across the team.
- Collaborate with product, design, QA, platform, and other engineering teams to shape requirements and ship iteratively.
- Leverage AI tools (Cursor, Claude, Gemini with MCP servers) to accelerate shipping and help the team develop sensible AI-assisted development practices.
- Improve production operability through structured logging, metrics, traces, alerts, dashboards, and incident learnings.
Required Experience:
- Strong production experience shipping systems with TypeScript/Node.js across the full stack.
- Deep relational database fundamentals, especially Postgres: schema design, migrations, indexing, RLS, query performance, transactions, and data modeling tradeoffs.
- Significant backend API design and building experience with Fastify, Hono, Express, or similar frameworks; strong opinions on API ergonomics and stability.
- Hands-on React/Next.js experience, including server components, client-side rendering, streaming, performance tradeoffs, and modern frontend architecture.
- Strong architectural judgment: knowing when to keep things simple, when to introduce abstraction, and how to make decisions that age well.
- Production systems experience: observability, incident response, release safety, and debugging distributed systems.
- Track record of mentoring engineers, raising technical standards, and helping teams make better decisions.
- Product mindset: you care about customer experience and understand that technical quality serves product outcomes.
Bonus Skills:
- Multi-tenant SaaS patterns (permissions, roles, audit logs, data isolation, compliance-aware design).
- Modern web app development with React, Vue, Remix, or Next.js.
- Architectural design patterns (Clean Architecture, MVC, SOLID, event-driven systems) and their tradeoffs.
- Proficiency with latest AI tooling for code writing, debugging, and analysis.
- Observability practices: structured logging, metrics, traces, alerting, SLOs, production dashboards.
- Production system ownership and operability improvements.
- Developer experience optimization: tooling, templates, docs, CI/CD speed, reliability, agentic workflows.
- API, SDK, or internal platform design for other teams.
- AI-assisted product feature implementation or guidance.
