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Open nowPosted 198 days ago

Agentic SDLC Engineer

Scrabble

Where
India
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Your applicationOpen nowAgentic SDLC EngineerScrabble · India

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Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 198 days ago

The posting

Agentic SDLC Engineer (DevEx + AI-Native Delivery)

## Company Overview No specific information provided about the company.

## Job Summary This role is responsible for redefining how software is built using AI agents. The Agentic SDLC Engineer owns systems where prompts become production-ready code, auto-generated tests are produced, and specifications translate directly into working systems. The focus is on building a high-velocity, AI-native development lifecycle while ensuring cost efficiency, reliability, and production-grade quality.

## Responsibilities - Design and implement agent-driven software development workflows. - Build systems that convert specifications into deployable code. - Develop large language model (LLM)-assisted code generation frameworks. - Optimize compute usage, inference cost, and performance. - Own Developer Experience (DevEx) systems including Continuous Integration/Continuous Deployment (CI/CD) and build pipelines. - Implement evaluation pipelines for generated code. - Drive agentic SDLC adoption across teams. - Build and maintain infrastructure as code.

## Qualifications - Internal platform engineering or developer tooling experience. - Experience building CI/CD systems. - Exposure to machine learning (ML) infrastructure or compute optimization. - AI-assisted development or automation experience. - Ownership of production systems. - Technical Skills: - Programming languages: Python, Java, Node.js. - Experience with Claude and Cursor workflows. - Development with Model Component Prefix (MCP). - Knowledge of GitHub Actions and build systems. - Familiarity with LLM code generation frameworks. - Understanding of evaluation pipelines. - Proficiency in Terraform and Kubernetes. - Model serving experience. - Google Cloud Platform (GCP) optimization knowledge.

## Preferred Skills No additional skills listed.

## Experience No specific years of experience given, but relevant experience in platform engineering and developer tooling is expected.

## Environment No specific work setting information provided.

## Salary No salary information provided.

## Growth Opportunities No specific growth opportunities mentioned.

## Benefits No benefits information provided.

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