Software Development Engineer II

Key Responsibilities: Software Development 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. AI-Powered Engineering Utilize AI-assisted development tools such as GitHub 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. Cloud & Infrastructure 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. Software Quality & Testing 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. DevOps & Operations 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. Collaboration & Leadership Work closely with Product Managers, Designers, QA Engineers, Data Engineers, and DevOps 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.

Required Skills: Programming Languages JavaPythonTypeScriptGo (Preferred) Backend DevelopmentRESTful API Development Microservices Architecture Distributed Systems Backend Application Development Service-Oriented Architecture Cloud Technologies Amazon Web Services (AWS) Amazon EC2Amazon S3AWS LambdaCloud-Native Development DatabasesMySQLSQLDatabase DesignQuery Optimization DevOpsGitGitHubCI/CD Pipelines DockerContinuous Integration Continuous DeploymentAI-Assisted Development GitHub Copilot Cursor AIGoogle GeminiClaude AIGenerative AI Development ToolsPrompt Engineering Fundamentals Software Engineering Object-Oriented Programming Design Patterns Data Structures & Algorithms DebuggingCode ReviewTest-Driven Development (TDD) Professional SkillsStrong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and manage feature ownership. Strong debugging and troubleshooting capabilities. Continuous learning mindset with interest in AI-driven software development.

Preferred Skills: Infrastructure as Code (Terraform).CircleCI or other CI/CD platforms. Kubernetes. High-throughput distributed systems. Big Data processing environments. AdTech or Media Technology experience. AI workflow automation. Observability tools such as Prometheus, Grafana, Open Telemetry, or Datadog.