Mid-level Fullstack Engineer

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 Mid-level Fullstack Engineer (backend-focused) who enjoys building reliable systems and is excited to work with AI-enhanced development workflows. You'll work closely with our Lead Engineer and CTO, focusing primarily on backend development while contributing to frontend features when needed. This role is ideal for an engineer with strong Ruby on Rails experience who wants to deepen their backend expertise while gaining more exposure to fullstack development and AI-driven features. You'll help build scalable APIs, data processing systems, and contribute to integrating AI/LLM capabilities (Claude, Gemini) into our platform. Key Responsibilities: Build backend systems: Develop and maintain Ruby on Rails APIs, background processing (Sidekiq), and data workflows that power our AI-driven insights platform Support AI integration: Contribute to implementing AI/LLM capabilities into backend services, helping build intelligent data processing pipelines and automated workflows Work with data models: Collaborate on PostgreSQL schemas, queries, and data models to support analytics and reporting needs Contribute to AI-enhanced features: Help build backend services that leverage AI tools and frameworks to deliver workplace insights Ensure performance and reliability: Debug issues, optimize queries, and maintain scalable backend services Collaborate across the stack: Work with frontend engineers to define API contracts and contribute to Next.js/React features when needed Follow best practices: Write tests (RSpec), participate in code reviews, and use monitoring/deployment tools effectively Learn and grow: Develop your backend and AI-related skills while collaborating with senior engineers and adopting AI-assisted development workflows Requirements 3-5 years of professional software development experience with a backend focus, ideally in Ruby on Rails Experience contributing to fullstack applications; familiarity with modern frontend frameworks (Next.js/React preferred) Solid understanding of API development, background processing, and database fundamentals Familiarity with PostgreSQL, database queries, and performance considerations Interest in AI-assisted development workflows and willingness to learn new approaches (e.g., BMAD Method) Exposure to cloud environments (AWS preferred), containerization (Docker), and deployment practices Strong problem-solving skills and ability to debug backend issues Collaborative team player who works well with product managers, designers, and engineers Growth mindset with a willingness to learn new technologies and expand skill sets 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: Next.js/TypeScript (contribution as needed) Infrastructure: AWS, Docker, CI/CD (GitHub Actions) Monitoring: Production observability and performance tools Benefits 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 ProvidentFund Gratuity #J-18808-Ljbffr