Senior Fullstack Engineer

Job Description:

About Teamified

Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka. We pride ourselves with hiring great teams to work on exciting game changing technology. Teamified currently has 200+ engineers, testers, product managers etc. working across 20+ partners. We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. We strive to deliver the best outcomes for our customers, our partners and our people.

About our Client:

Our Client helps teams improve performance and wellbeing by turning survey and timesheet data into actionable insights using cutting-edge AI technology. They are building an intelligent engine that detects signals, recommends actions, and automates workflows across safety, engagement, and productivity. They offer startup excitement with established business stability. They're at an exciting inflection point - transitioning from agency support to a fully internal engineering team while scaling revenue growth. They are investing heavily in AI-driven development workflows - specifically leveraging the BMAD Method (Breakthrough Method for Agile AI-Driven Development) and similar frameworks to optimize our development processes through specialized AI agents for planning, architecture, and implementation.

About the Role:

We're looking for a Senior Fullstack Engineer with strong backend expertise who thrives in high-ownership environments and is excited about AI-enhanced development workflows. Working closely with our Lead Engineer and reporting to the CTO, you'll focus primarily on building robust backend systems while contributing to frontend experiences when needed. You'll help integrate AI/LLM capabilities (Claude, Gemini) into our platform and work directly with our product and design teams to ship solutions that matter to our customers.

This role is perfect for a backend-focused engineer who wants to expand their fullstack skills while leading the development of scalable Ruby on Rails APIs, data processing systems, and AI-powered features that transform how organizations understand their teams.

Key Responsibilities:

● Build robust backend systems: Design and implement scalable Ruby on Rails APIs, background processing systems (Sidekiq), and data workflows that power our AI-driven insights platform

● Lead AI integration: Implement AI/LLM capabilities into backend services, creating intelligent data processing pipelines and automated workflow systems

● Architect data solutions: Design and optimize PostgreSQL schemas, queries, and data models that support complex analytics and reporting requirements

● Develop AI-enhanced features: Build backend services that leverage AI planning agents and context-engineered development processes to deliver intelligent workplace insights

● Optimize performance: Identify and resolve bottlenecks in backend systems, database queries, and API performance to ensure scalable platform growth

● Collaborate across the stack: Work with frontend engineers to design clean API contracts and contribute to experiences when needed

● Champion backend best practices: Implement comprehensive testing (RSpec), monitoring, and deployment practices while leveraging AI-assisted development tools

● Mentor and learn: Share backend expertise with the team while learning AI-driven development methodologies like the BMAD Method

● Drive technical decisions: Contribute to architectural discussions and technical strategy for our Ruby on Rails backend, PostgreSQL data layer, and AWS infrastructure

• 4-6 years of professional software development with strong backend focus, particularly in Ruby on Rails

● Solid fullstack foundation: Experience with modern frontend frameworks preferred) with ability to contribute across the stack when needed

● Strong backend expertise: Deep understanding of API design, background processing, database optimization, and scalable system architecture

● AI-curious mindset: Interest in AI-assisted development workflows and willingness to learn frameworks like BMAD Method or similar AI-enhanced development approaches

● Experience with PostgreSQL, complex queries, database design, and performance optimization

● Comfortable with cloud infrastructure (AWS preferred), containerization (Docker), and modern deployment practices

● Strong problem-solving skills with ability to debug complex backend issues and optimize system performance

● Collaborative approach to working in cross-functional teams with product managers, designers, and frontend engineers

● Growth mindset: Demonstrated ability to learn new technologies and adapt to evolving development practices, especially AI-enhanced workflows

● Startup or small team experience where you've taken ownership of significant backend systems and features

Nice to have:

● AI/LLM integration experience: Previous work with Claude, GPT, Gemini, or other AI services in production applications

● Advanced Rails expertise: Experience with complex Rails applications, multi-tenant architectures, or event-driven systems

● Background processing at scale with Sidekiq, Redis, or similar job queue systems

● Experience with monitoring and observability tools (APM, logging, metrics) for production backend systems

● Knowledge of authentication/authorization systems, security best practices, and compliance requirements

● Data pipeline experience: Building ETL processes, data transformation workflows, or analytics-focused backend systems

● Interest in employee wellbeing and workplace psychology, particularly how backend systems can enable better team insights

Our Stack:

● Backend: Ruby on Rails, Sidekiq, Redis

● Data: PostgreSQL with complex analytics queries

● AI/LLM: Claude, Gemini with custom backend integration

● Frontend: (contribution as needed)

● Infrastructure: AWS, Docker, CI/CD (GitHub Actions)

● Monitoring: Production observability and performance tools

• Flexibility in work hours and location, with a focus on managing energy rather than time.
• Access to online learning platforms and a budget for professional development
• A collaborative, no-silos environment, encouraging learning and growth across teams
• A dynamic social culture with team lunches, social events, and opportunities for creative input
• Health insurance
• Leave Benefits
• Provident Fund
• Gratuity

If you possess the required skills and are eager to contribute to our team's success, we encourage you to apply for this exciting opportunity. Apply now