Software Engineer II

Position Overview

We are looking for a Software Engineer II to build and deliver scalable software solutions across our products. You will work on modern web applications and cloud-based services using Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, and Docker, while contributing to AI-enabled features and integrations.

You will collaborate closely with other engineers, product managers, and cross-functional teams to develop reliable, maintainable, and production-ready solutions. This role provides an opportunity to work with modern AI technologies including Python, AWS Bedrock, MCP, RAG, and agentic AI workflows while developing strong expertise in cloud-native software engineering.

What You'll Do

• Develop and maintain scalable backend services and APIs using Node.js, TypeScript, and JavaScript.
• Build responsive and maintainable frontend applications using React.
• Design and implement integrations with AWS services and contribute to cloud-native application development.
• Develop and maintain applications using PostgreSQL and MSSQL, including writing efficient queries and working with database schemas.
• Build, test, and deploy applications using Docker and modern CI/CD practices.
• Contribute to AI-enabled product features using Python, AWS Bedrock, RAG, MCP, and AI integration patterns.
• Work with the team to integrate LLM capabilities, APIs, tools, and data sources into production applications.
• Write clean, maintainable, and well-tested code following established engineering practices.
• Participate in code reviews, technical discussions, debugging, and production issue resolution.
• Develop unit and integration tests and contribute to improving application quality and reliability.
• Monitor application performance and troubleshoot issues across development and production environments.
• Collaborate with senior engineers and architects to implement technical solutions aligned with product and engineering requirements.
• Stay current with emerging technologies, particularly in cloud and AI engineering, and apply them where appropriate.

Required Qualifications

Tech Stack

Core: Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, Docker

AI & Integration: Python, MCP, AWS Bedrock, LangGraph/Semantic Kernel, Vector Databases, RAG

Core Technical Skills

• 3–5 years of professional software development experience.
• Strong hands-on experience with Node.js and JavaScript/TypeScript.
• Good experience building applications using React.
• Hands-on experience with AWS and cloud-based application development.
• Good understanding of REST APIs, microservices, and distributed application concepts.
• Experience working with PostgreSQL and/or MSSQL.
• Experience with Docker and containerized application development.
• Strong understanding of software development fundamentals, design patterns, and clean code practices.
• Experience with unit testing, debugging, code reviews, and software development best practices.
• Good understanding of CI/CD and modern software engineering practices.

AI/ML Skills

• Hands-on experience with Python is preferred.
• Exposure to building or integrating AI/ML-powered features.
• Familiarity with AWS Bedrock or other LLM platforms.
• Understanding of RAG concepts, embeddings, vector databases, and prompt engineering.
• Exposure to MCP (Model Context Protocol) and AI integration architectures is a plus.
• Familiarity with LangGraph, Semantic Kernel, or similar AI orchestration frameworks is a plus.
• Understanding of agentic AI workflows and tool integration is desirable.

What Would Be a Plus

• Experience building production AI-enabled applications.
• Experience with MCP servers or AI integration services.
• Experience with RAG pipelines and vector databases.
• Experience with AWS Bedrock and LLM integrations.
• Exposure to LangGraph or Semantic Kernel.
• Experience working with cloud-native or serverless architectures.
• Experience working in enterprise SaaS environments.
• Exposure to AI-assisted software development tools.
• Experience troubleshooting applications in production environments.

Collaboration & Engineering

• Strong problem-solving and analytical skills.
• Ability to work effectively in a collaborative engineering environment.
• Good written and verbal communication skills.
• Willingness to learn new technologies and take ownership of assigned features.
• Ability to work with senior engineers and contribute to technical design discussions.
• Focus on delivering high-quality, reliable, and maintainable software.