Full Stack Developer

Role Overview

We are seeking a highly capable Full Stack Developer with strong systems administration and security awareness. This role goes beyond frontend/backend coding — it requires ownership of infrastructure, testing discipline, disaster recovery planning, and long-term architectural thinking.

The ideal candidate is comfortable designing and deploying production systems on AWS, maintaining legacy platforms, and helping architect future AI-integrated education platforms.

Core Responsibilities1. Systems & Infrastructure

• Manage and deploy applications in AWS environments
• Configure and maintain Docker-based services (AWS Fargate)
• Implement monitoring, logging, and uptime strategies
• Maintain mirrored databases and failover systems
• Oversee version control workflows (Git) and CI/CD pipelines

• Manage load balancers and caching layers (HAProxy, Varnish)

• Security & Reliability

• Implement secure authentication and authorization practices

• Conduct security hardening and vulnerability mitigation
• Design and test disaster recovery plans
• Ensure backup integrity and database redundancy

• Maintain secure cloud storage (AWS S3)

• Application Development (New Platform)

• Backend development using JavaScript / Express)

• Frontend development using modern JS frameworks (Lit)
• Database architecture and optimization (PostgreSQL, AWS-hosted)
• Implement API integrations and content storage systems
• Work with document conversion pipelines (Pandoc / Lua)
• Write unit tests and integration tests

• Perform load testing and performance tuning

• Legacy Platform Support (Current System)

• Maintain and extend existing systems using:

• MySQL
• PHP
• Java
• Perl
• Python (partial stack)
• Support and optimize caching and proxy layers (Varnish, HAProxy)

Required Technical Skills

• Git (version control, branching workflows, CI/CD familiarity)
• AWS ecosystem experience (EC2, S3, RDS, Fargate preferred)
• JavaScript / Express)
• PostgreSQL
• Docker
• Unit testing frameworks
• Strong understanding of system security principles

Preferred / Asset Skills

• Load testing tools and performance profiling
• Infrastructure-as-Code
• High-availability architecture design
• Experience with document conversion systems (Pandoc)
• Lua scripting
• Experience maintaining legacy stacks (PHP, Perl, Java)

Future-Focused Skills (Strategic Direction)

As we expand into AI-powered educational systems, the following experience would be highly valuable:

• Python
• Machine learning frameworks (TensorFlow or PyTorch)
• Experience deploying LLM-powered applications
• Familiarity with local LLM orchestration tools (e.g., Ollama)
• Prompt engineering and AI system integration

Ideal Candidate Profile

• Thinks in systems, not just features
• Comfortable owning uptime and security
• Writes testable, maintainable code
• Understands performance bottlenecks
• Can maintain legacy systems while building modern architecture
• Interested in building AI-assisted educational platforms

Job Type: Full-time

Pay: $52,325.31-$75,000.00 per year

Work Location: In person