Job overview

We are seeking a proficient Ruby on Rails developer who brings strong object-oriented programming (OOP) principles, an API-first approach, and experience building scalable applications. The ideal candidate is comfortable with up-to-date frontend frameworks, integrating APIs, and contributing to robust, maintainable, and performant backend systems. Familiarity with containerization (Docker, Kubernetes) is a plus, and exposure to other backend languages such as Python, Go, or Elixir is an added advantage.

AI-assisted engineering We expect engineers to work fluently with AI coding assistants and agentic coding harnesses — such as Claude Code, GitHub Copilot, and Cursor — as part of their everyday workflow, using them to accelerate delivery while retaining full ownership of code quality, security, and design.

Key responsibilities

- Design, build, and maintain scalable web applications using Ruby on Rails.
- Apply OOP principles and design patterns to keep codebases maintainable and modular.
- Build and maintain RESTful and GraphQL APIs supporting frontend and external integrations.
- Collaborate with frontend teams to integrate cleanly with modern JavaScript frameworks (React, Vue).
- Write clean, efficient, and secure code following best practices in performance, testing, and documentation.
- Ensure systems are scalable and performant under large-scale data and user load.
- Leverage AI coding assistants and agentic harnesses to accelerate development — then review, test, and validate AI-generated output to uphold engineering standards.
- Participate in code reviews, architecture discussions, and continuous improvement.
- Work in agile teams, using CI/CD pipelines and version control effectively.
- Implement containerized services and deployments with Docker and, optionally, Kubernetes.
- Contribute to technical decisions,



mentor junior developers, and maintain high engineering standards.

Required skills and qualifications

- Strong hands-on experience with Ruby on Rails and a solid grasp of Ruby language constructs.
- Sound knowledge of OOP concepts, SOLID principles, and design patterns.
- Proven experience building and maintaining APIs (RESTful and/or GraphQL).
- Comfortable partnering with frontend developers and integrating modern frameworks (React, Vue).
- Experience with scalable, production-grade systems.
- Familiarity with SQL and ActiveRecord, performance tuning, and caching strategies.
- Version-control expertise with Git and experience in code-review workflows.
- Strong hands-on TDD experience with RSpec and a clear understanding of testing strategies.
- Practical familiarity with AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) and effective prompting to improve delivery speed and code quality.
- Comfortable debugging, profiling, and monitoring production systems.

Preferred qualifications

- Hands-on working experience with agentic AI coding harnesses — driving multi-step tasks, supplying effective context, and reviewing AI-generated changes for correctness and security.
- Exposure to Docker and basic container orchestration with Kubernetes.
- Experience with background job processing (Sidekiq, Resque).
- Knowledge of CI/CD pipelines, deployment strategies, and infrastructure-as-code practices.
- Familiarity with monitoring and alerting tools for backend services.
- Experience in a microservices or service-oriented architecture (SOA) setup.
- Working knowledge of additional backend languages such as Python, Go, or Elixir.
- Understanding of security best practices in web and API design, including reviewing AI-generated code for vulnerabilities.
- Familiarity with service observability: logs, metrics, and tracing tools.

📌 Manager - Business Process Engineering (Mumbai)
🏢 JioStar
📍 Mumbai