Ahmedabad Gujarat Director of security Jobs – 26 Open Jobs Today

Sr. AI Augmented Developer & Team Trainer
Etech Global Services —Gandhinagar, Gujarat
- ₹15,00,000 - ₹20,00,000 a year
- Night shift
- Computer Science
- Master's degree
- SQL
12d
Sr. AWS Administrator
Etech Global Services —Gandhinagar, Gujarat
- ₹5,00,000 - ₹10,00,000 a year
- Night shift
- Computer Science
- DevOps
- AWS
12d
Sr. AI Application Developer
Etech Global Services —Gandhinagar, Gujarat
- ₹22,00,000 - ₹25,00,000 a year
- Night shift
- Master's degree
- SQL
- AWS
12d
Marketing Assistant
Atigo Enterprises —Ahmedabad, Gujarat
- Marketing
- Master's degree
- Bachelor's degree
DevOps Engineer
TechMayntra Services —Ahmedabad, Gujarat
- Azure
- DevOps
- Java

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Sr. AWS Administrator
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Technical Support Engineer
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Ultimately, you will be a person that our customer's trust. Efficiently handling incoming voice calls and acting as the first point of contact for service…

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Sr. AI Augmented Developer & Team Trainer

Etech Global Services -
Gandhinagar, Gujarat

Apply Now

Job details

₹15,00,000 - ₹20,00,000 a year
12 days ago

Qualifications

CI/CD
Node.js
Computer Science
React
WordPress
C#
NoSQL
Git
.NET
Master's degree
SQL
MCA
PHP
Bachelor's degree
JavaScript
Terraform
Continuous integration
REST
Angular
Software development
GitHub
APIs
Agile
Integration testing
Unit testing
Vue.js
AI
Moodle
TypeScript
Python
Analytics

Full job description

What We Offer:

Night Shift allowance as per process
Health Insurance
Tuition Reimbursement
Work Life Balance Initiatives
Rewards & Recognition
Internal movement through IJP
Canteen Subsidy
Transportation Allowance

Key Responsibilities:

AI-Augmented Development — Personal Delivery

Deliver production-grade features across the tech stack using AI coding tools as primary development accelerators.
Use Claude Code for agentic code generation, refactoring, debugging, test writing, and documentation at scale.
Use GitHub Copilot for inline code completion, PR review assistance, and boilerplate elimination across all supported languages.
Use Cursor for multi-file editing, codebase-aware AI suggestions, and context-rich code navigation.
Establish personal best practices and document AI-assisted workflows as reusable team playbooks.
Build reference implementations and sample projects that showcase AI-augmented development at its best.

Team Training & AI Adoption Program

Design and deliver a structured AI Tools Adoption Program tailored for each team: .NET, MEAN/MERN, Python, PHP, Moodle, DB, QA, DevOps, and BA.
Conduct hands-on workshops, pair programming sessions, and live coding demos to embed AI tool usage into daily workflows.
Create team-specific prompt libraries, AI workflow guides, and coding standards for each technology stack.
Run regular “AI Productivity Labs” — short, focused sessions solving real sprint tasks using AI tools collaboratively.
Measure developer productivity improvements pre- and post-training using defined KPIs (PR velocity, defect rate, time-to-review, etc.).
Identify and mentor internal AI Champions within each team to sustain adoption independently.

Tool Evaluation & Standards

Evaluate emerging AI coding tools (Claude Code, Copilot, Cursor, Tabnine, Codeium, Windsurf, etc.) and recommend the best fit for each team context.
Define AI coding governance: what to use AI for, what to review before committing, and how to validate AI-generated code for security, correctness, and quality.
Establish code review standards specifically for AI-generated code — covering hallucination risk, over- generation, and IP/license concerns.
Integrate AI tool workflows into existing CI/CD pipelines, GitHub Actions, and code review processes.
Work with DevOps team to configure and manage GitHub Copilot Enterprise, Claude Code CLI, and related tooling at the organization level.

Cross-Team AI Use Case Development

.NET Team: AI-assisted API development, test generation, legacy code refactoring, and Copilot Chat for debugging.
MEAN/MERN Team: AI-driven component generation, API integration, and front-end optimization workflows.
Python Team: AI-accelerated scripting, automation, data pipeline development, and REST API generation.
PHP / Moodle Team: AI-assisted plugin development, WordPress customization, and LMS configuration automation.
Database Team: AI-powered SQL query generation, optimization, stored procedure writing, and schema review.
QA Team: AI-generated test cases, automated test script creation, API test coverage expansion with Copilot.
DevOps Team: AI-assisted IaC (Terraform/CloudFormation) writing, pipeline configuration, and incident runbook generation.
BA Team: AI-powered requirements drafting, user story generation, JIRA ticket creation, and documentation automation.

Required Skills & Expertise

AI Coding Tools (Non-Negotiable)

Claude Code — expert-level CLI usage, agentic task execution, multi-file codebase interaction, custom CLAUDE.md configuration.
GitHub Copilot — advanced prompt crafting, Copilot Chat, Copilot for PRs, workspace-level context usage.
Cursor — multi-file editing with AI context, Composer mode, codebase indexing.
ChatGPT / Claude / Gemini — effective use for architecture decisions, code review, documentation generation.
Familiarity with: Tabnine, Codeium, Windsurf, Amazon Q Developer, or similar tools.

Development Proficiency (Multi-Stack)

Strong hands-on coding in at least 2 of: C#/.NET, Node.js, Python, PHP, JavaScript/TypeScript.
Familiarity with front-end frameworks: React.js, Angular, or Vue.js.
Understanding of REST API design, database integration (SQL + NoSQL), and backend architecture patterns.
Comfortable reading and reviewing code across all team stacks even without deep expertise in each.

Training & Communication

Proven ability to design and deliver technical training programs for developers at varying skill levels.
Strong documentation skills — ability to write clear prompt guides, workflow playbooks, and AI governance policies.
Experience running workshops, code labs, or pair programming sessions.
Ability to explain AI tool behaviour, limitations, and best practices in plain language to non-experts.

Engineering Practices

Strong understanding of Git workflows, code review practices, and CI/CD pipelines.
Knowledge of unit testing, integration testing, and how AI tools can accelerate test coverage.
Awareness of AI code security risks: prompt injection, over-reliance, license contamination, and hallucinated logic.
Experience integrating AI tools into GitHub Actions or similar pipeline automation.

Preferred Qualifications

Tech / M.Tech / BCA / MCA in Computer Science, IT, or related field.
5+ years of software development experience with at least 2 years using AI coding tools in professional projects.
Proven track record of delivering features with AI-assisted workflows (portfolio or GitHub examples preferred).
Experience designing and running developer upskilling or mentoring programs.
Familiarity with GitHub Copilot Enterprise admin configuration and usage analytics.
Knowledge of AI governance, responsible AI usage policies, and IP considerations.
Exposure to Agile/Scrum environments and sprint-based delivery.

Job Title

Sr. AI Augmented Developer & Team Trainer

Department

ETS Labs

Reports to

Assistant Director

Pay Grade

15-20 LPA

Location

Gandhinagar

Job Type

WFH/Hybrid

Schedule & Shift

2:30 PM to 11:30 PM IST

Apply Now

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