Software Engineer III

SteerLean Consulting; Gurugram District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

SteerLean Consulting is seeking a skilled developer with 4–6 years of experience to build enterprise applications using Java, Spring Boot, Node.js, and modern frontend frameworks such as React. The role emphasizes cloud service exposure and AI/ML integration, with opportunities to work alongside senior architects on impactful projects.

The ideal candidate will collaborate with cross-functional teams, contribute to CI/CD pipelines, and stay current with emerging cloud and AI capabilities.

Qualifications

• Bachelor’s degree in computer science, engineering or related field.
• 4–6 years of enterprise app development using Java, Spring Boot, Node.js or Python.

Responsibilities

• Design, develop, and maintain enterprise applications using Java, Spring Boot, Node.js and JavaScript-based frameworks.
• Work with cloud services (AWS, GCP or Azure) to deliver scalable and secure solutions.
• Assist in implementing AI/ML capabilities using cloud-based AI services and integrating them into workflows.
• Leverage AI-powered development tools to improve productivity and code quality.
• Follow coding standards, cloud patterns, and microservices/serverless approaches.

Skills

Java

Spring Boot

Node.js/Python

React

Education

Bachelor’s degree in CS/Engineering

Tools

Docker

Kubernetes

Job description

Summary

We are seeking a talented and motivated developer with 4–6 years of experience in building enterprise applications using modern backend and frontend technologies. The ideal candidate will have hands-on experience with Java, Spring Boot, Node.js or Python. At least one JavaScript-based frontend framework preferably React. Candidates should possess experience with cloud services. Demonstrate a strong understanding of AI/ML-based solutions.

This role is ideal for professionals who are eager to grow their technical expertise, contribute to solution development, and learn from senior architects and technical leads while working on impactful enterprise projects.

Key Responsibilities

• Application Development: Design, develop, and maintain enterprise applications using Java, Spring Boot, Node.js, and JavaScript-based frameworks (e.g., React, Angular, Vue).


• Cloud Implementation: Work with cloud services (AWS, GCP or Azure) under the guidance of senior team members to deliver scalable and secure solutions.


• AI/ML Features: Assist in implementing AI/ML capabilities using cloud-based AI services and integrating them into enterprise workflows.


• Copilot & AI Tools: Leverage AI-powered development tools to improve productivity and code quality.


• Best Practices: Follow established coding standards, cloud architecture patterns, and microservices/serverless approaches with a focus on quality, performance, and security.


• Collaboration: Work closely with senior developers, architects, and business stakeholders to understand requirements and deliver solutions aligned with project goals.


• Testing & Deployment: Participate in unit testing, debugging, and deployment activities, contributing to CI/CD pipelines in collaboration with DevOps teams.


• Continuous Learning: Stay updated on emerging cloud and AI capabilities and actively enhance your skills through mentorship and training.

Requirements

Education: Bachelor’s degree in computer science, Engineering, or related field.

Experience

• 4–6 years in enterprise application development using Java, Spring Boot, Node.js, and JavaScript-based frameworks.


• Practical exposure to cloud services and enterprise solution delivery.


• Basic to intermediate experience with AI/ML integration in applications.


• Familiarity with AI-assisted development tools.

Technical Skills

• Java, Spring Boot, Node.js/Python


• Any JavaScript-based frameworks preferably React


• Exposure to integrating Generative AI into applications


• Cloud services (AWS, Azure, or GCP)

Certifications (Good To Have)

• Cloud Fundamentals (AWS, Azure, or GCP)


• AI-related certifications (e.g., AI-900, Azure AI Engineer Associate)

Good-to-Have Skills

• Cloud architecture patterns, microservices, serverless computing


• Docker & Kubernetes


• Unit testing & mocking frameworks


• Understanding of MLOps concepts for deploying and managing ML models.


• Familiarity with GraphQL or modern API design approaches.

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