Software Development Engineer II

We are looking for a talented Software Development Engineer II (SDE II) to design, develop, and maintain scalable software applications, cloud-native services, and AI-powered solutions that support enterprise-grade products. The ideal candidate will have strong experience in backend development, API design, cloud computing, distributed systems, and modern software engineering practices.

As an SDE II, you will own features throughout the complete software development lifecycle—from technical design and implementation to deployment, monitoring, and continuous optimization. You will collaborate with software engineers, AI specialists, product managers, Dev Ops engineers, and data teams to deliver reliable, secure, and high-performance applications while leveraging AI-assisted development tools to improve engineering productivity.

This role offers an opportunity to work with modern cloud technologies, Generative AI, containerized applications, and scalable architectures while contributing to innovative software solutions.

• Design, develop, test, deploy, and maintain scalable software applications and backend services.
• Build cloud-native applications using modern software engineering principles.
• Develop secure, high-performance RESTful APIs and microservices.
• Deliver production-ready features from design through deployment and post-release support.
• Continuously improve application scalability, reliability, and maintainability.

• Utilize AI-assisted development tools such as Git Hub Copilot, Cursor AI, Gemini, Claude, or similar platforms to accelerate software development.
• Evaluate AI-generated code for accuracy, security, and maintainability before implementation.
• Develop AI-enabled workflows that improve engineering productivity and software quality.
• Explore opportunities to automate repetitive development tasks using AI technologies.
• Collaborate with AI engineers on intelligent applications and workflow automation initiatives.

• Develop and maintain applications deployed on AWS cloud infrastructure.
• Build containerized applications using Docker and cloud-native deployment practices.
• Support infrastructure scalability, performance optimization, and cost efficiency.
• Participate in cloud migration and modernization initiatives where applicable.
• Implement monitoring, logging, and observability across production systems.

• Create comprehensive unit, integration, component, and end-to-end test cases.
• Maintain high code quality through peer reviews and coding standards.
• Identify, troubleshoot, and resolve software defects and production issues.
• Ensure software reliability through automated testing and continuous validation.
• Participate in release planning and deployment activities.

• Support CI/CD pipelines and automated deployment processes.
• Monitor production applications and respond to operational incidents.
• Perform root cause analysis for production issues and implement permanent solutions.
• Improve deployment efficiency through automation and process optimization.
• Contribute to infrastructure reliability and operational excellence initiatives.

• Work closely with Product Managers, Designers, QA Engineers, Data Engineers, and Dev Ops teams.
• Participate in architecture discussions and technical planning sessions.
• Mentor junior developers and contribute to team knowledge sharing.
• Maintain technical documentation and engineering standards.
• Continuously evaluate new technologies and engineering best practices.

• Java
• Python
• Type Script
• Go (Preferred)

• RESTful API Development
• Microservices Architecture
• Distributed Systems
• Backend Application Development
• Service-Oriented Architecture

• Amazon Web Services (AWS)
• Amazon EC2
• Amazon S3
• AWS Lambda
• Cloud-Native Development

• MySQL
• SQL
• Database Design
• Query Optimization

• Git
• Git Hub
• CI/CD Pipelines
• Docker
• Continuous Integration
• Continuous Deployment

• Git Hub Copilot
• Cursor AI
• Google Gemini
• Claude AI
• Generative AI Development Tools
• Prompt Engineering Fundamentals

• Object-Oriented Programming
• Design Patterns
• Data Structures & Algorithms
• Debugging
• Code Review
• Test-Driven Development (TDD)

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to work independently and manage feature ownership.
• Strong debugging and…