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Sr. Python Fullstack + Agentic Developers

India, Mumbai · Job Posted April 20, 2026
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Job Description

We are seeking an experienced AI / GenAI Engineer with 5–8 years of experience to drive AI‑led SDLC automation across development, DevOps, and incident management workflows. The role focuses on leveraging AI/LLM capabilities to automate code generation, testing, security, CI/CD pipelines, and operational processes. You will work closely with engineering, platform, and DevOps teams to embed intelligent automation into modern software delivery pipelines.

Job Responsibility

  • AI‑Led SDLC Automation (Primary Focus)
  • Generate code artifacts from Jira technical specifications
  • Enable AI-assisted code generation using Python and/or Java
  • Implement AI-powered pull request (PR) summarization and contextual code reviews
  • Automate unit test generation during PR workflows
  • Detect vulnerabilities and automatically generate AI-driven fix PRs
  • Generate deployment configurations using pre-built templates
  • Embed policy-as-code and security guardrails within CI/CD pipelines
  • DevOps & Platform Enablement
  • Integrate AI agents into GitHub workflows and CI/CD pipelines
  • Work with Docker, Kubernetes, and cloud-native environments
  • Support branching strategies, PR validation, and deployment automation
  • Incident Management Automation (Secondary Focus)
  • Build AI-assisted runbooks
  • Automate incident classification and response workflows

Requirements

  • Bachelor’s or Master’s degree in Computer Science or related field (or equivalent experience)
  • 5–8 years of hands-on software development experience
  • Strong programming skills in Python and/or Java
  • Solid experience with GitHub workflows and CI/CD pipelines
  • Understanding of secure SDLC practices and vulnerability management
  • Experience working in DevOps environments
  • Strong problem-solving, debugging, and automation mindset

Nice to have

  • Exposure to AI/ML or LLM-based development tools (GenAI, copilots, agents, etc.)
  • Experience with Docker, Kubernetes, Terraform
  • Knowledge of policy-as-code, DevSecOps practices
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Experience building or integrating AI agents for developer productivity or operations
  • Strong collaboration and communication skills

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