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Generalist mid-level title, metro location, broad fullstack+AI skillset, and 3-5 year band make competition high.
Fullstack and cloud skills transfer across industries, but AI and enterprise support/on-call needs increase domain specificity.
Explicit 3–5 years, required AI/ML experience, specific tech stack and TDD/security mandates yield high strictness.
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Collaborate with development teams to design, develop, and maintain scalable, high-performance enterprise software features including UI, RESTful APIs, and cloud infrastructure.
Manage production systems by monitoring, troubleshooting incidents, performing root cause analysis, and ensuring system reliability and security compliance.
Integrate and implement AI-powered development tools and automation (e.g., Anthropic Claude, AI-driven analytics, AI-assisted debugging) to enhance development efficiency, security, and CI/CD pipelines.
Bachelor’s degree in Software Engineering from an Indian University.
3-5 years of professional software development experience, preferably in a product company.
Minimum one year of AI/ML experience with practical knowledge of AI-driven development tools and prompt engineering.
Strong proficiency in C#, Python, or JavaScript, experience with AWS cloud services, containerization (Docker), Test-Driven Development (TDD), and security best practices.
Experienced in end-to-end full-stack software development with strong ownership of code quality, system reliability, and production incident resolution.
Demonstrated ability to integrate AI tools into software development workflows and leverage AI for automation and enhanced testing.
Comfortable working in onsite Bangalore setting with collaboration in complex engineering environments involving cloud infrastructure and micro-services architecture.