Senior Software Engineer

• Leverage AI-powered development tools (GitHub Copilot, Cursor, Claude, etc.) to improve engineering productivity, code quality, documentation, and testing.
• Evaluate AI-generated code for correctness, security, maintainability, and performance before production deployment.
• Participate in AI-driven code reviews, architecture discussions, and continuous improvement initiatives
• Stay updated with emerging AI technologies and recommend innovative solutions to improve products and engineering practices.
• Design, develop, and maintain scalable, secure, and reliable backend systems and APIs using modern technologies and engineering best practices.
• Own one or more product modules and work closely with the Technical Lead to deliver high-quality solutions.
• Identify, prioritize, and execute tasks throughout the Software Development Life Cycle (SDLC).
• Write clean, efficient, maintainable, and testable code following coding standards and architectural guidelines.
• Design and optimize backend systems for performance, scalability, reliability, and cost efficiency.
• Implement robust security practices to protect sensitive data and ensure compliance with enterprise security standards.
• Troubleshoot, debug, and resolve production issues while ensuring high system availability.
• Collaborate with DevOps and Infrastructure teams to deploy, monitor, and optimize backend services.

Technical Skills

• Experience of AI-powered development to improve engineering productivity, code quality, and testing.
• Strong experience in Node.js as the primary backend technology.
• Experience in TypeScript.
• Strong experience with AWS Cloud Platform.
• Hands-on experience with AWS Serverless technologies including Lambda, API Gateway, DynamoDB, S3, EventBridge, SQS, SNS, etc.
• Strong experience designing and developing Microservices Architecture.
• Good experience with relational and NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, and Redis.
• Strong understanding of RESTful APIs, asynchronous messaging, and event-driven architectures.
• Experience with Infrastructure as Code (Terraform or CloudFormation) is preferred.
• Experience with CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, or similar platforms.
• Experience with unit testing, integration testing, API testing, and code quality tools such as Jest, Mocha, SonarQube, etc.
• Strong experience using Git and modern source control workflows.

• 5–8 years of overall software development experience.
• 4+ years of backend development experience using Node.js and TypeScript.
• 3+ years of experience with AWS cloud services (Lambda, API Gateway, DynamoDB, S3, ECS/EKS preferred).
• 3+ years of experience designing and developing Microservices.
• 2+ years of experience with CI/CD pipelines and DevOps practices.
• 1+ years of experience using monitoring and code quality tools such as SonarQube, Datadog, AppDynamics, CloudWatch, etc.
• 1–2 years of experience leveraging AI-assisted software development tools in day-to-day engineering activities.
• AWS Certification and AI-related certifications are a plus

• Experience working in Agile software development environments.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills in English.
• Strong collaboration skills with globally distributed teams.
• Ability to learn and adopt emerging technologies quickly.
• Experience working with Jira, Confluence, Git, Jenkins, SonarQube, Datadog, AppDynamics, and related engineering tools.
• Willingness to travel occasionally to Continental R&D centers and partner locations.

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