GCP Platform Engineer Job at Vodafone (Pune)

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Kraków

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits:sporto card,healthcare insurance

Fulltime

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Katowice

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity
Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only
Strong track record building distributed systems and integrating LLMs
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer
RAG pipelines shipped to production
Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration
AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed
Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits: sport card, healthcare insurance

Fulltime

GCP Cloud Platform Engineer

We are seeking a Google Cloud Platform Engineer to design, implement, and manage...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Skilled in key GCP services such as Compute Engine, GKE, BigQuery, Dataproc, Dataflow, and Cloud Composer
Proficient in Python programming and experienced with scripting languages such as Bash
Able to work with Infrastructure-as-Code tools including Terraform and Helm charts
Familiar with CI/CD platforms such as Jenkins, GitHub Actions, and Spinnaker
Knowledgeable in Kubernetes, Docker, and container orchestration principles
Strong understanding of GCP networking concepts and identity management
Hold a Bachelor’s or Master’s degree in Computer Science, IT, or a related field
Possess 3–5+ years of relevant cloud engineering experience

Job Responsibility

Architect and deploy cloud-native applications and infrastructure on GCP, ensuring scalability, availability, and operational efficiency
Manage and optimise Google Cloud resources, including Compute Engine, GKE, Cloud Storage, networking, BigQuery, Dataproc, and Dataflow
Build and maintain CI/CD pipelines using tools such as Jenkins, Argo CD, GitHub Actions, and Spinnaker, following GitOps principles where applicable
Automate deployments using Terraform, Helm charts, or similar tools to support consistent, repeatable infrastructure provisioning
Implement secure IAM policies, encryption standards, and GCP security best practice across cloud services
Monitor system performance, troubleshoot infrastructure issues, and propose enhancements to improve reliability and efficiency
Collaborate with cross-functional teams including developers, data engineers, and architects to integrate cloud solutions with enterprise applications and workflows

Public Cloud Engineer - GCP (Google Cloud Platform)

The Lead Public Cloud Engineer - GCP is responsible for advanced technical suppo...

Location

United States , Plano

Salary:

68000.00 - 78202.00 USD / Year ▼

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in cloud engineering, operations, or support
3+ years multi-cloud experience (must have hands-on in at least two of the four of GCP/AWS/Azure/OCI
familiarity in all is preferred
GCP cloud is mandatory)
Bachelor’s degree (or equivalent experience) in Computer Science, IT, Engineering, or a related field
At least two of the following certifications (or equivalent experience): Google Professional Cloud Architect / Engineer, AWS Certified Solutions Architect / SysOps Administrator, Microsoft Certified: Azure Administrator Associate or Solutions Architect Expert, Oracle Cloud Infrastructure Architect Associate/Professional
(Preferred) DevOps or automation certifications (e.g., Kubernetes, Terraform)
(Preferred) ITIL Foundation or other support framework knowledge
Direct experience in managed services/NOC/SOC/MSP environments is a plus
In-depth expertise with provisioning, configuring, securing, supporting, and optimizing cloud-native and hybrid workloads in GCP, AWS, Azure, and/or OCI

Job Responsibility

Support Customer Self-Provision cloud instances across GCP, AWS, Azure and OCI with security guardrail and backend deployment
Monitor, troubleshoot, and resolve incidents, performance issues, and service outages in production and staging environments
Implement and maintain monitoring, alerting, and logging solutions to ensure high availability and reliability
Lead root cause analysis and post-mortem documentation for major incidents
Execute patch management, upgrades, and regular maintenance activities
Develop and maintain backup, disaster recovery, and failover strategies and operations
Participate in on-call rotation and after-hours support as required
Develop and maintain Infrastructure as Code (IaC) templates using tools such as Terraform, CloudFormation, ARM, or OCI Resource Manager
Use scripting (e.g., Python, Bash, PowerShell) to automate repetitive tasks and operational processes
Champion the use of configuration management tools and assist in DevOps pipeline integrations

What we offer

medical, dental, and vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally-required benefits

Fulltime

Staff Software Engineer - Platform Engineer

You will have an opportunity to own the core platform of a company at hypergrowt...

Location

United States , San Francisco

Salary:

250000.00 - 325000.00 USD / Year

Nooks

Expiration Date

Until further notice

Requirements

GCP
Kubernetes
Datadog
Typescript / NodeJS
Python
Github Actions
PostgreSQL (≥intermediate)
Data pipeline experience

Job Responsibility

Own the core platform of a company at hypergrowth stage
Build out the foundations for the next 2-3 years
Have full autonomy and leadership opportunities to drive your own projects with plenty of 0-1 work

What we offer

Equity
Comprehensive health, dental, vision, life and disability insurance coverage
Hybrid work
Unlimited paid time off

Fulltime

Senior Software Engineer - Platform Engineer

You will have an opportunity to own the core platform of a company at hypergrowt...

Location

United States , San Francisco

Salary:

215000.00 - 280000.00 USD / Year

Nooks

Expiration Date

Until further notice

Requirements

GCP
Kubernetes
Datadog
Typescript / NodeJS
Python
Github Actions
PostgreSQL (≥intermediate)
Data pipeline experience

Job Responsibility

Own the core platform of a company at hypergrowth stage
Build out the foundations for the next 2-3 years
Drive your own projects with plenty of 0-1 work
Scale / rearchitect systems to handle 3-4x revenue/usage growth every year
Bring critical balance so product engineers can continue shipping in-demand features

What we offer

Equity
Comprehensive health, dental, vision, life and disability insurance coverage
Hybrid work
Unlimited paid time off

Fulltime

Sr. Platform Engineer - Design (Platform Engineering Team)

Our Client’s Platform engineering team is looking for a Senior Platform Engineer...

Location

United States , Greenwich

Salary:

175000.00 - 220000.00 USD / Year

Solomon Page

Expiration Date

Until further notice

Requirements

Programming and Scripting
Proficiency in languages such as Ansible, Python, or Ruby
Scripting skills in Bash, Perl, or similar languages
Experience with continuous integration/continuous deployment tools like Jenkins, GitLab
Experience with tools like Terraform, Ansible, Puppet, or Chef
Strong knowledge with containerization technologies like Docker and orchestration tools like Kubernetes
Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure
Strong knowledge of Linux/Unix system administration
Experience with system performance tuning and monitoring
Understanding of TCP/IP, DNS, HTTP/HTTPS, and other network protocols

Job Responsibility

Design automated solutions leveraging cutting edge tools
Provides direct support to technical and non-technical entities to define requirements and deliver solutions
Implement and utilize asset inventory, configuration management database, capacity management, performance management, resource optimization, and security
Define requirements, perform research, evaluate vendors/solutions, design/implement solutions, and provide ongoing support
Drive consistent standardized solutions across IB for all hardware, software, configurations, and processes
Implement tools and processes for efficient and effective operational management of the environment
Schedule and provide after-hours or weekend support when necessary
Participate in defining and executing on a roadmap of projects
Interact with internal teams to provide solutions and resolve problems
Ability to communicate complex technical concepts to individuals of various technical ability

Fulltime

New

Data Engineer (GCP & ETL) - VOIS

We are seeking a Data Engineer with hands-on experience in Google Cloud Platform...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

4–7 years of experience in data engineering or a closely related role
Strong proficiency in GCP services, including BigQuery, Dataproc, Data Fusion, and Cloud SQL
Hands-on experience with enterprise ETL tools such as Ab Initio or ODI
Solid knowledge of Unix and SQL, with exposure to Teradata environments
Working knowledge of Python is an advantage

Job Responsibility

Design, develop, test, and maintain scalable and reliable data pipelines and software systems
Collaborate with cross-functional stakeholders to gather, analyse, and understand data requirements
Implement and manage ETL processes using tools such as Ab Initio or Oracle Data Integrator (ODI)
Work extensively with GCP services including BigQuery, Dataproc, Data Fusion, and Cloud SQL
Write, optimise, and maintain SQL queries for efficient data extraction and transformation
Ensure data quality, consistency, integrity, and performance across data platforms
Monitor, troubleshoot, and resolve data workflow and system issues to maintain operational stability

What we offer

Opportunity to work on enterprise-scale data platforms within a global organisation
Exposure to modern cloud-based data engineering solutions and large, complex datasets
A collaborative, inclusive, and learning-focused work environment
The chance to contribute directly to data-driven transformation initiatives across Vodafone markets

Fulltime

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GCP Platform Engineer

Job Description

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