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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

5–9 yearsRemoteremoteDirect Career PageEst. 12–25 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Remote, popular fullstack title with mid-level experience amplifies candidate competition.

Background Fit Sensitivity

(Moderate)

AI-native fullstack requirements and AWS experience moderately favor candidates with relevant cloud and ML-integrated backgrounds.

Shortlisting Strictness

(High)

Explicit 5-9 years and mandatory Java/Python, AWS, and AI-native skills create strict shortlisting filters.

Estimated fit based on your resume

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Experience

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Structured overview of role & requirements

Design, develop, and deploy scalable full stack applications using Java/Python and AWS services.

Build and integrate AI-native solutions including LLMs, agentic workflows, and AI-assisted coding tools.

Collaborate in pod-based Agile teams to deliver sprint-based high-quality cloud-native microservices and APIs.

5-9 years of work experience as a Full Stack Engineer or similar role.

Proficiency in Java and/or Python programming languages.

Strong experience with AWS cloud services (Lambda, API Gateway, EC2, S3).

Exposure to AI Native engineering practices such as AI-assisted development and LLM-based solutions.

Experienced operating in fast-paced, pod-based (small team) Agile delivery environments.

Skilled in building cloud-native microservices architectures on AWS with automation-driven workflows.

Specialized in leveraging AI integrations and tools to enhance development efficiency and solution capabilities.