About GigaRev
GigaRev is an AI-first growth and technology company building client-facing applications, AI-enabled workflows, automation systems, dashboards, portals, and digital product experiences for businesses across multiple industries.
We move quickly, use modern AI-assisted development tools, and care deeply about building products that are not just fast to launch, but also stable, secure, scalable, and maintainable.
Role Summary
GigaRev is hiring a Senior Full-Stack Engineer, Client Applications to provide technical ownership, engineering quality, architecture support, and production readiness across client-deployed applications.
This role will work closely with AI Product Builders, product leads, designers, automation specialists, and client delivery teams. You will help convert prototypes and AI-assisted builds into reliable, production-ready applications.
The ideal candidate is a strong full-stack engineer who can work across frontend, backend, APIs, databases, authentication, integrations, deployments, and performance optimization.
Key ResponsibilitiesFull-Stack Engineering
- Build and maintain client-facing web applications, dashboards, portals, internal tools, and workflow-based products.
- Develop frontend and backend features using modern web technologies.
- Support application logic, APIs, databases, integrations, forms, authentication, role-based access, and reporting.
- Help improve existing prototypes, MVPs, and AI-generated builds into stable production systems.
Technical Architecture & Code Quality
- Review application architecture, code structure, database design, API design, and deployment setup.
- Identify and reduce technical debt.
- Create reusable engineering patterns, templates, and implementation standards.
- Review AI-generated or prototype-quality code for security, maintainability, performance, and scalability.
Production Readiness & Reliability
- Diagnose and resolve complex bugs across frontend, backend, database, API, and integration layers.
- Improve application performance, load times, API response times, and database queries.
- Strengthen logging, monitoring, error handling, testing, release management, and rollback practices.
- Help ensure applications are stable and reliable for real client usage.
Security & Access Control
- Review authentication, authorization, permissions, environment variables, secrets, APIs, and data handling.
- Improve security practices across client applications.
- Support secure handling of credentials, integrations, and client data.
- Recommend practical improvements for backup, recovery, access control, and compliance readiness.
Cross-Functional Support
- Partner with product builders and client teams to translate requirements into technical implementation.
- Advise when a product update is simple enough for AI-assisted tools versus when senior engineering support is needed.
- Help non-technical stakeholders understand tradeoffs, technical risks, timelines, and implementation options.
- Document architecture, setup instructions, deployment steps, known issues, and troubleshooting guidance.
Required Qualifications
- 5+ years of full-stack engineering experience.
- Strong experience with JavaScript and/or TypeScript.
- Strong experience with React, Next.js, Node.js, APIs, and modern web application architecture.
- Experience with databases such as PostgreSQL, Supabase, Firebase, MongoDB, or similar.
- Experience with authentication, role-based access, environment management, and deployment workflows.
- Experience with GitHub, branching, pull requests, code reviews, and release management.
- Strong debugging and problem-solving ability.
- Experience maintaining production applications.
- Ability to communicate clearly with product, business, and client-facing teams.
Preferred Qualifications
- Experience with Vercel, Railway, Render, Netlify, Firebase, Supabase, or similar platforms.
- Experience with AI-assisted development tools such as Cursor, Replit, Lovable, Bolt, v0, or GitHub Copilot.
- Experience with OpenAI, Anthropic, Vapi, ElevenLabs, n8n, Make, Zapier, or related AI/automation platforms.
- Experience with SaaS platforms, client portals, dashboards, LMS platforms, internal tools, or workflow automation systems.
- Experience with CRM integrations, webhooks, third-party APIs, and enterprise integrations.
- Experience with monitoring, logging, testing, CI/CD, and deployment pipelines.
- Basic DevOps or cloud infrastructure knowledge.
What Success Looks Like
- Client applications become more stable, scalable, and maintainable.
- Production bugs and technical debt are reduced.
- AI-generated code is reviewed and improved before reaching production.
- Applications perform better under real client usage.
- Security and access-control risks are identified and addressed.
- Product and delivery teams can move faster without creating technical chaos.
- GigaRev can confidently launch and maintain more client applications.
Ideal Candidate Profile
You are a strong fit if you are a practical senior engineer who can work in fast-moving environments, improve imperfect systems, guide technical decisions, and collaborate well with both technical and non-technical teams.
You do not need to own every product decision, but you should be the technical safety net that ensures client applications are built properly.