Application Developer-Google Cloud FullStack
Actively Reviewing the ApplicationsIBM
India, Haryana, Gurgaon
Full-Time
On-site
Posted 2 hours ago
•
Apply by June 5, 2026
Job Description
Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
Master's Degree
Required Technical And Professional Expertise
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
- As an entry level Application Developer at IBM, you'll work with clients to co-create solutions to major real-world challenges by using best practice technologies, tools, techniques, and products to translate system requirements into the design and development of customized systems. In your role, you may be responsible for:
- Working across the entire system architecture to design, develop, and support high quality, scalable products and interfaces for our clients
- Collaborate with cross-functional teams to understand requirements and define technical specifications for generative AI projects
- Employing IBM's Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability
- Working with a variety of relational databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery)
- Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product
Master's Degree
Required Technical And Professional Expertise
- SQL authoring, query, and cost optimisation primarily on Big Query. Python as an object-oriented scripting language.
- Data pipeline, data streaming and workflow management tools: Dataflow, Pub Sub, Hadoop, spark-streaming…
- Version control system: GIT & Preferable knowledge of Infrastructure as Code: Terraform.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions
- Experience building and optimising data pipelines, architectures and data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Working knowledge of message queuing, stream processing, and highly scalable data stores.
- Experience supporting and working with cross-functional teams in a dynamic environment. We are looking for a candidate with experience in a Data Engineer role, who are also familiar with Google Cloud Platform.
Required Skills
Git
MongoDB
Python
Root Cause Analysis
SQL
Bootstrap
jQuery
Google Cloud Platform
Terraform
Hadoop
Spark
Backbone.js
Ember.js
DB2
iOS
Android
React
Postgres
Linux
Windows
Data Structures
Metadata
Algorithms
Scripting
Workflow management
Scripting language
Version control
System architecture
Ember
Generative
Relational
Operating systems
Stream
Design thinking
Data transformation
Data streaming
Workload management
Data pipelines
Management tools
SQL knowledge
Relational databases
Design and Development
Stream processing
Authoring
Infrastructure as Code
Technical specifications
Generative AI
Backbone
Version control System
Data Pipeline
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