Full-Stack Engineer, Technical Lead
Listed on 2025-12-20
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IT/Tech
Systems Engineer, Cloud Computing, AI Engineer, IT Support
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About Jocki Box ServicesAt Jocki Box, our mission is to empower businesses by helping them put the power of artificial intelligence and emerging technology to work FOR them. We believe innovative technology should not be reserved for a few - it should be accessible and scalable for every organization.
We build right‑fit tech products to automate and streamline workflows, connect data and systems and accelerate everyday work. Our product portfolio includes web and mobile apps, automated workflow solutions and customer software.
Our CultureAt Jocki Box, we build useful things that solve real problems. We value clarity over complexity, momentum over perfection, and practical performance over ego. We love confidence, but we don't like arrogance. Ownership matters more than titles, and integrity matters more than optics.
We embrace AI as a force multiplier - not a replacement for judgment, taste, or accountability. We move fast, learn continuously, and respect craft - whether that’s product, code, design, or strategy. We give people room to think, build, and do meaningful work that has real impact.
- 401(k)
- Health insurance
- Vision insurance
- Paid time off
The Full-Stack Engineer / Technical Lead owns technical delivery end‑to‑end, from system architecture and hands‑on development through deployment, security, and ongoing optimization. Our development team embraces AI‑assisted, accelerated, and automated software development to increase speed, quality, and consistency—while applying strong engineering judgment to ensure correctness, security, and maintainability. The ideal candidate for this role views AI as a force multiplier, not a replacement for sound architecture, thoughtful design, and experienced engineering.
Key Responsibilities Technical Leadership & Architecture- Own system architecture, technical workflows, and engineering standards
- Design scalable, maintainable solutions that balance speed, quality, security, and cost
- Establish development patterns that effectively combine human expertise with AI‑accelerated tooling
- Build and maintain backend services, APIs, and integrations
- Develop and support responsive web and mobile frontends
- Design, optimize, and maintain databases and data models
- Own cloud infrastructure, environments, and deployment pipelines
- Implement automated CI/CD workflows to accelerate release cycles
- Monitor performance, reliability, and scalability across environments
- Actively leverage AI‑assisted coding tools to accelerate development, refactoring, and testing
- Establish guardrails and best practices for safe, effective AI‑generated code
- Use AI to automate repetitive engineering tasks while retaining human review and accountability
- Evaluate emerging AI tools and workflows for practical, real‑world adoption
- Ensure security and compliance are built into system design and delivery
- Implement authentication, authorization, and access control best practices
- Enforce code quality through reviews, testing, and documentation
- Partner closely with product and design to deliver features end‑to‑end
- Use Asana and Jira (or similar) to manage both project‑based and sprint‑based work
- Provide technical guidance and mentorship as the team scales
- React.js, Angular, Vue.js
- React Native
- Node.js
- PHP
- MySQL, MongoDB
- AWS, Firebase
- Git Hub Actions (CI/CD)
- Git Hub
- Stripe
- Checkr
- Send Grid
- OAuth
- Asana (end‑to‑end project management)
- Jira or similar (product and sprint tracking)
- Base
44 and similar AI‑enabled development tools
- Deep full‑stack engineering experience with ownership of production systems
- Strong architectural judgment and systems thinking
- Demonstrated experience using AI‑assisted development tools effectively
- Comfortable accelerating delivery with automation while maintaining engineering rigor
- Curious, pragmatic, and continuously evaluating better ways to build applications
- Thrives in fast‑moving startup or venture‑studio environments
- Development velocity increases without sacrificing quality or security
- AI is used intentionally to accelerate delivery, not obscure understanding
- Systems remain maintainable, observable, and resilient
- Teams ship faster, with clearer standards and fewer surprises
Mid‑Senior level
Employment TypeFull‑time
Job FunctionEngineering and Information Technology
IndustriesSoftware Development
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