Sr. Software Engineer – (Ruby on Rails)

vConstruct Pvt Ltd; Dadri; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

vConstruct is seeking a Sr. Software Engineer – Full Stack to join an AI-first engineering environment.

The role involves owning architecture, security, and reliability while building scalable SaaS for construction tech. You will design and deliver full-stack applications using Golang backend services and React frontends, with Rails where needed, and leverage AI coding agents and MCP servers to optimize development and production workflows.

Qualifications

• Experience with OOP, patterns, REST APIs, and microservices.
• Relational DBs (PostgreSQL) and NoSQL familiarity (MongoDB).
• Docker, CI/CD (GitHub Actions, Jenkins, or CircleCI), debugging, testing, and code reviews.
• Ability to work independently and mentor engineers.

Responsibilities

• Collaborate with PMs to translate requirements into scalable solutions.
• Design full-stack apps with Golang backends, React frontends, APIs, and databases; Rails where needed.
• Use AI coding agents to implement, refactor, debug, test, and document.
• Use MCP servers to give agents access to tools and context.
• Decompose work into agent-executable tasks with clear criteria.
• Review AI-generated code for correctness, security, performance; resolve failures.
• Design RESTful integrations, microservices, distributed systems, and serverless components.
• Build and operate AWS cloud-native services (Lambda, S3, API Gateway, RDS).
• Contribute to Docker deployments, CI/CD pipelines, infrastructure practices.
• Participate in design reviews, mentor engineers, improve agent-driven standards.

Skills

OOP concepts

Design patterns

RESTful APIs

Distributed systems

Microservices

System design

PostgreSQL

Education

Bachelor’s or Master’s Degree in CS or related field

Tools

Docker

GitHub Actions

Jenkins

CircleCI

AWS

Kubernetes

EKS

Job description

We are seeking a highly skilled Sr.Software Engineer – Full Stack who thrives in an AI-first, agent-drivensoftware engineering environment. Our team uses AI coding agents,IDE-integrated Model Context Protocol (MCP) servers, and agentic workflows todesign, build, test, and maintain production-grade software. The idealcandidate combines strong engineering fundamentals with practical AI-assisteddevelopment and takes full ownership of architecture, quality, security, andreliability. This is an opportunity to work directly with a Silicon Valleyproduct startup building scalable SaaS products for construction technology.

Responsibilities

• Collaborate with Product Managers and stakeholders to translate requirements into scalable technical solutions.
• Design and deliver full-stack applications using Golang backend services, modern React-based frontends, APIs, and databases; contribute to Ruby on Rails applications where needed.
• Use AI coding agents as a primary development workflow for implementation, refactoring, debugging, testing, and documentation.
• Use IDE-integrated MCP servers to provide agents with relevant context and controlled access to engineering tools and systems.
• Decompose requirements into agent-executable tasks with clear context, constraints, acceptance criteria, and verification steps.
• Critically review AI-generated code for correctness, maintainability, architecture, security, and performance; independently resolve failures.
• Design RESTful integrations, microservices, distributed systems, and event-driven or serverless components.
• Build and operate cloud-native services on AWS using appropriate services such as Lambda, S3, API Gateway, CloudWatch, RDS, and container platforms.
• Contribute to Docker-based deployment, CI/CD pipelines, infrastructure practices, production troubleshooting, and observability.
• Participate in design reviews, mentor engineers, and continuously improve agent-driven development standards and delivery quality.

Required Skills & Experience

Must Have — Software Engineering

• Strong command of OOP, design patterns, RESTful APIs, distributed systems, microservices, and system design trade-offs.
• Experience with relational databases such as PostgreSQL and familiarity with NoSQL databases such as MongoDB.
• Experience with Docker, CI/CD (such as GitHub Actions, Jenkins, or CircleCI), debugging, automated testing, and code reviews.
• Ability to work independently, communicate clearly, collaborate across functions, and mentor junior engineers.

Must Have — AI-Driven Development & Agentic Engineering

• Practical, regular use of AI coding agents (for example, Claude Code, Cursor, GitHub Copilot, or equivalent) to deliver working software.
• Experience with IDE-integrated MCP servers or comparable agent-tool integrations for accessing relevant development context and tools.
• Ability to create effective agent instructions, manage context, set constraints, and break complex work into verifiable tasks.
• Experience with agentic planning, implementation, iterative refinement, test generation, and validation workflows.
• Ability to inspect, debug, test, and secure AI-generated code rather than accepting outputs without independent verification.
• Strong engineering judgment and ownership of production outcomes regardless of how the code was produced.

Good to Have

• Hands-on Ruby on Rails and/or Node.js development experience.
• Experience with AWS services including Lambda, ECS, API Gateway, S3, CloudWatch, IAM, and RDS; exposure to Kubernetes or Amazon EKS.
• Experience configuring or building custom MCP servers, reusable agent instructions, and automated agent workflows.
• Familiarity with multi-agent orchestration and integrations with GitHub, Jira, documentation, or other developer systems.
• Knowledge of agent tool permissions, data protection, secure execution boundaries, and AI-assisted engineering productivity measurement.
• Exposure to Elasticsearch, analytics platforms, or AI/ML-enabled applications; familiarity with Kanban or other Agile delivery practices.

Education

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field.

About vConstruct

vConstruct specializes in providing high-quality Building Information Modeling (BIM), Lean Construction, Integrated Project Delivery, and Software Solutions for global construction projects. vConstruct is a wholly owned subsidiary of DPR Construction, USA.

About VueOps

VueOps is a US-based startup focused on capital project data management and intelligent information extraction for facility management systems.