Senior Software Engineer II (Golang, Python) - BrightGuage

Senior Software Engineer II (Backend Focused Full Stack)

Role Overview

We are seeking a Senior Software Engineer II to design, build, and maintain scalable cloud-based applications and services. This role is primarily focused on backend development using Python and Golang AWS, while also contributing to frontend applications built with React and Angular. The ideal candidate will have strong application development experience, a passion for solving complex technical challenges, and proficiency with modern AI-powered engineering tools to deliver high-quality solutions efficiently.

Key Responsibilities Design, develop, and maintain scalable backend services, APIs, and application components using Python. Build and support cloud-native applications on AWS with a focus on reliability, performance, security, and scalability. Contribute to frontend development using React and Angular to deliver intuitive, responsive, and accessible user experiences. Collaborate with Product, UX, QA, and Engineering teams to translate business requirements into high-quality end-to-end solutions. Participate in architecture discussions, system design reviews, and technical decision-making. Optimize application performance, observability, maintainability, and operational efficiency. Troubleshoot production issues, perform root cause analysis, and implement sustainable solutions. Leverage AI-assisted development tools such as Cursor, Claude, GitHub Copilot, and similar technologies to accelerate delivery, improve code quality, automate repetitive tasks, and enhance engineering productivity. Champion AI-first engineering practices, incorporating AI into software design, development, testing, documentation, and code review workflows. Mentor team members through code reviews, technical guidance, and best-practice sharing.

Mandatory skills

Python, Django / Backend Development, Golang, Microservices Architecture, Distributed Systems, System Design, Event-Driven Architecture, RabbitMQ / Kafka, PostgreSQL, AWS

Required Qualifications 6+ years of professional software development experience. Strong experience developing backend applications and services using Python and Golang. Hands-on experience designing and building RESTful APIs. Experience developing and deploying cloud-native applications on AWS. Good to have working knowledge of React and Angular. Strong understanding of software architecture, distributed systems, and application design patterns. Experience with SQL databases, data modeling, and performance optimization. Experience with CI/CD pipelines, automated testing, and Agile development methodologies. Demonstrated proficiency using AI-powered software development tools such as Cursor, Claude, GitHub Copilot, or equivalent AI coding assistants. Experience applying AI tools for code generation, debugging, testing, documentation, code reviews, solution design, and productivity optimization. Strong engineering judgment to validate AI-generated solutions and ensure quality, security, scalability, and maintainability. Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications Experience with microservices and event-driven architectures. Experience modernizing legacy applications and platforms. Knowledge of observability, monitoring, and reliability engineering practices. Experience building SaaS applications. Experience leading technical initiatives and mentoring engineers. Passion for continuous learning and adoption of emerging technologies, including AI-driven development workflows.

Location - Bangalore / Pune / Mumbai (Hybrid)

Technical Stack Backend Python GolangREST APIs Microservices Distributed Systems

Frontend React Angular TypeScript JavaScript HTML/CSS

Cloud & DevOps AWS CI/CD Pipelines Monitoring & Observability Cloud-Native Application Development

Data SQL Databases Data Modeling Performance Optimization

AI-Assisted Development Cursor Claude GitHub Copilot Prompt Engineering AI-Assisted Coding, Testing, Documentation, and Code Reviews

What Success Looks Like Deliver scalable, secure, and reliable application capabilities that support business growth. Drive modernization initiatives that improve platform performance, maintainability, and engineering efficiency. Effectively contribute across the full stack while providing strong backend technical leadership. Leverage AI tools to accelerate development velocity and improve software quality. Collaborate across cross-functional teams to deliver high-impact product outcomes. Promote engineering excellence through automation, innovation, and continuous improvement.