Dl Aws cloud engineer Jobs – 138 Open Jobs Today

AI Product Manager
Techmagnate —Delhi, Delhi
- Azure
- AWS
- Analysis skills
Senior Software Engineer (Salesforce)
Komodo Health —Delhi, Delhi
- Remote
- Salesforce
- DevOps
- AWS
Quick apply
Associate Lead- Backend Developer
CivicDataLab —Delhi, Delhi
- ₹18,00,000 - ₹20,00,000 a year
- Azure
- Databases
- AWS
- Paid time off
Senior Full Stack Engineer
BaryTech —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
Lead, Data Scientist
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Master's degree
- Databases
Full Stack Developer
TechBiz Global GmbH —Delhi, Delhi
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Quick apply
Sr. AI engineer (Remote)
Sezzle —Delhi, Delhi
- ₹50,000 - ₹1,20,000 a year
- Full-time
- Remote
- Computer Science
- Databases
- SQL
React Native Developer
AWL India —Delhi
- Part-time
- Azure
- Computer Science
- Software troubleshooting
SDE 1 - Backend (Java)
Trip Jack Pvt Ltd —Delhi
- Azure
- Computer Science
- Java
Quick apply
Application Support Lead
Phygital Insights —Delhi, Delhi
- Full-time
- DevOps
- AWS
- Scripting
React Developer
AWL India —Delhi
- Full-time
- Azure
- Computer Science
- AWS
Principal Technical Architect
Workato —Delhi, Delhi
- Azure
- Oracle
- Computer Science
Quick apply
Lead Architect
SITA Switzerland Sarl —Delhi
- Full-time
- Remote
- DevOps
- Java
- AWS
- Work from home
Backend Developer - PHP / Laravel – Album Design Platform & CRM
PicEra Private Limited —Delhi
- ₹15,000 - ₹40,000 a month
- Full-time
- Computer Science
- AWS
- Project management
Quick apply
Team Lead for Full Stack Web Developer
Rrayze Business Solutions —Delhi
- ₹15,00,000 - ₹18,00,000 a year
- Computer Science
- Java
- SQL
Software Developer
KVH Industries, Inc. —New Delhi District, Delhi
- Full-time
- Computer Science
- B.Sc
- Salesforce
Graphics Designer
LogicQuad Technology —Delhi, Delhi
- System design
- AWS
- Project management
Senior Associate Full stack + AI (Consumer Products AI)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
2d
Senior Backend Platform Engineer, AI Enablement (Rails)
Cialfo —Delhi, Delhi
- Azure
- Computer Science
- Master's degree
Quick apply

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AI Product Manager

Techmagnate -
Delhi, Delhi

Apply Now

Job details

Qualifications

Jira
Azure
Node.js
React
Git
MongoDB
AWS
Analysis skills
Confluence
REST
GitHub
APIs
Agile
AI
Google Analytics
Figma
Leadership
Communication skills

Full job description

AI Product Manager

1. About the Role
The Product Manager will serve as the connective tissue between business strategy, customer
needs, and engineering execution. This is a strategic leadership role requiring deep technical
literacy, strong communication skills, and the ability to drive measurable ROI across the product
lifecycle.

The ideal candidate brings:
• Data-driven thinking with a strong analytical mindset

Solid grasp of modern web technologies (React.js, Node.js, MongoDB)
Proven ability to manage high-performing, cross-functional teams
Track record of aligning product investments with company-wide growth objectives

2. Key Responsibilities

2.1 Product Strategy & Roadmap

Own, define, and communicate a clear, prioritised product roadmap aligned with

company vision and market trends

Translate high-level strategic goals into actionable quarterly and annual delivery

plans

Conduct ongoing competitive analysis and market research to identify opportunities

and threats

Align roadmap priorities with stakeholders through regular reviews and ceremonies

2.2 End-to-End Product Management

Manage the full product lifecycle — from discovery and user research through launch

and post-launch analysis

Write clear PRDs, user stories, acceptance criteria, and functional specifications

2.3 Team Leadership & People Development

Lead, mentor, and inspire a cross-functional team of engineers, designers, QA, and

analysts

Conduct regular 1:1s, performance reviews, and skill gap assessments to support

individual growth

2.4 ROI & Business Case
• Define, track, and report on KPIs and business metrics to measure the financial

impact of product decisions

Build business cases for product investments and present them to senior

stakeholders

2.5 Agile Delivery & Process
• Own and facilitate agile ceremonies: sprint planning, standups, sprint reviews, and

retrospectives

Drive continuous improvement in team velocity, delivery quality, and sprint

predictability

Partner with engineering leads to evaluate technical feasibility and ensure delivery

commitments are realistic

Define and enforce Definition of Done (DoD) and quality gates

2.6 Stakeholder Communication
• Act as the primary point of contact for product vision and delivery status across all

levels

Run executive product briefings, roadmap reviews, and investor-facing presentations
Translate technical concepts for non-technical stakeholders and business strategy for

engineering teams

Manage expectations proactively — communicate risks, delays, and scope changes

with transparency

2.7 Go-To-Market & Launch Strategy
• Define and execute GTM strategies for major feature releases and product launches

Partner with marketing, sales, and customer success to align launch readiness and

adoption plans

Monitor post-launch performance and rapidly iterate based on user feedback and

analytics

2.8 Customer & Market Research
• Conduct user interviews, usability studies, and customer feedback sessions regularly

Synthesise qualitative insights and quantitative analytics into prioritised product

decisions

Champion the voice of the customer across all product and engineering discussions

3. Technical Knowledge

While this role does not require hands-on coding, a solid working understanding of the following
technologies is essential for effective product decision-making, feasibility assessment, and
engineering collaboration:

Technology Expected Proficiency

React.js Component-based architecture, state management, frontend rendering
— write precise UI requirements and evaluate design feasibility.

Node.js REST API design, middleware concepts, server-side logic — assess
backend complexity and build vs. buy trade-offs.

MongoDB Document-based data models, indexing, and aggregation pipelines —
engage meaningfully in data architecture discussions.

Analytics Tools Proficiency with Mixpanel, Amplitude, Google Analytics. Ability to
self-serve data queries without engineering dependency.

API / Integration Read API documentation, understand webhooks and event-driven
architectures, coordinate third-party integrations.

Cloud Platforms Working knowledge of AWS, GCP, or Azure for scalability, security, and
infrastructure cost planning.

PM & Dev Tools Hands-on use of Jira, Confluence, Linear, Figma, Notion, GitHub issues,
and project tracking dashboards.

Apply Now

Refine Your Search

aws cloud engineer jobs in dl

AI Product Manager

Senior Software Engineer (Salesforce)

Associate Lead- Backend Developer

Senior Full Stack Engineer

Lead, Data Scientist

Full Stack Developer

Sr. AI engineer (Remote)

React Native Developer

SDE 1 - Backend (Java)

Application Support Lead

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Principal Technical Architect

Lead Architect

Backend Developer - PHP / Laravel – Album Design Platform & CRM

Team Lead for Full Stack Web Developer

Software Developer

Graphics Designer

Senior Associate Full stack + AI (Consumer Products AI)

Senior Backend Platform Engineer, AI Enablement (Rails)

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