Software Engineer (Success Engineering)

• Collaborate with the application development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-DrivenDevelopment (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.

• Contribute ideas to improve application maintainability and performance under the guidance of senior engineers.

  Specific Responsibilities:

  • Design, develop, and ship product features end-to-end-spanning UI components, RESTful APIs, and cloud infrastructure-with increasing autonomy and technical ownership
  • Contribute to the design and implementation of scalable, highly available systems using Amazon Web Services, Docker, and Terraform
  • Establish and maintain software quality through robust CI/CD pipelines, comprehensive test automation, and code quality standards
  • Investigate and resolve production issues, conducting thorough root cause analysis and implementing preventive solutions and performance optimizations
  • Monitor production systems, triage alerts/incidents, and drive root cause analysis through to resolution
  • Act as a frontline responder for customer-reported issues-own the problem until the customer is unblocked and the system is stable
  • Apply system design patterns including micro-service architecture and ild reliable, scalable solutions
  • Participate in code reviews, architectural discussions, and sprint planning, contributing to technical excellence within the team
    AI-Powered Development Responsibilities:
    • Integrate AI-powered tools like Anthropic Claude and frameworks to enhance code quality and development efficiency.
    • Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
    • Implement AI-based security measures to proactively detect and mitigate potential threats.
    • Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD)processes.
    • Support the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.
    • Utilize AI-assisted debugging platforms to accelerate issue identification and resolution in production environments.
    • Apply advanced prompt engineering techniques to generate infrastructure backend service scaffolding
    • Evaluate and implement agentic AI tools that enhance developer workflows, including automated test generation, intelligent code review assistance, and deployment automation “,”

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.