Mid Level Fullstack Developer

3 - 5 years

0 Lacs

Posted:1 week ago| Platform: Foundit logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About Teamified

Teamified

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:

Mid-level Fullstack Engineer (backend-focused)

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

Advanced Rails expertise

?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

?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

Apply now!

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