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
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!
Teamified
Other Info
Permanent
Full-time
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