Google Cloud Platform Engineer Job at Vodafone (Pune)

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

DevOps Engineer - Google Cloud Platform

Your mission: Build and evolve our developer platforms to enable fast feedback, ...

Location

Germany , Berlin

Salary:

Not provided

Smartclip Europe GmbH

Expiration Date

Until further notice

Requirements

5+ years of DevOps engineering experience
Expert in Google Cloud Platform (GCP)
Confident work with Kubernetes and Linux
Use of Infrastructure as Code, Docker/CRI-O, and shell scripting
Ownership of stack end-to-end

Job Responsibility

Build and evolve our developer platforms to enable fast feedback, high quality, and maximum flexibility
Design and automate developer platforms that empower teams to move fast and ship with confidence
Integrate modern tools into CI/CD pipelines – always with a focus on functional safety and reliability
Take ownership of our GKE / Kubernetes infrastructure on Google Cloud – and actively shape it
Harden systems proactively through strong security engineering – don’t wait for a pen test to find issues
Continuously improve our platform to make development faster, safer, and more scalable

What we offer

30 days of vacation + Dec 24 & 31 off
Smart Fridays (4 days week possible)
Mobility (Germany ticket & JobRad)
Sports & health offerings
Mental health support
Corporate benefits
RTL+ access

Fulltime

Data Engineer (Google Cloud Platform)

Seeking a Data Engineer (Google Cloud Platform): Rhino, are you there? At WE ARE...

Location

Portugal , Porto

Salary:

Not provided

We Are Meta

Expiration Date

Until further notice

Requirements

At least 2 years of experience working with cloud platforms and services for data engineering (preferably GCP)
Proficiency in programming languages such as Python, Java, or Scala
Hands-on experience with Big Data tools such as Spark, Flink, Kafka, Elasticsearch, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams/Connect, Druid, etc
Strong knowledge of data modeling and database design principles
Experience with data integration and ETL tools (e.g., Apache Kafka, Talend)
Advanced SQL skills and experience with both relational and NoSQL databases
Familiarity with other cloud services such as AWS S3 or Azure Data Factory (plus)
Experience using version control tools such as Git
Fluency in English and Portuguese(B2)
Availability for hybrid work in Porto, Portugal

What we offer

Welcome kit
Opportunities for career progression
Health insurance
Coverflex meal card
Other protocols and special discounts

Google Cloud Platform Cloud Security Architect

Location

United States , Roswell

Salary:

Not provided

Synkriom

Expiration Date

Until further notice

Requirements

8+ years of prior experience in IT in network security, information security and infrastructure in a high-tech environment
5+ years architecting and implementing security and DevSecOps on public cloud solutions (AWS or Google Cloud Platform)
Work experience as a Cloud Security Architect or similar role in a cloud native environment
Deep hands-on experience leading the design and deployment of technology infrastructure and associated security controls
Experience in solutions for data security, data masking, data classification, data anonymization

Job Responsibility

Provide domain expertise around public cloud and enterprise technology
Configure, implement, monitor, and support network security software/systems that will help ensure compliance with CSA Cloud Controls Matrix in cloud environments (AWS/AzureP)
Update security tools for logging/monitoring and growing coverage of existing tools
Make recommendations to management on enhancements to existing and new security software or related tools
Assist in evaluating, planning and implementation of new/existing security applications/tools that integrate with current tool sets
Help implement and maintain next-generation enterprise protection tools and malware detection technologies
Ensure security standard methodologies are identified and integrated into all facets of projects including network, system designs/configuration and implementations
Make recommendation on secure integration strategies, global enterprise architectures and application infrastructure based on best practices
Develop security architecture strategies that align to enterprise architecture strategy and that of the business strategy for cloud
Develop in depth security architecture standards, frameworks and design patters spanning all layers of security in the cloud from host, server and network to application and data security

Cloud Engineer (GCP) - Google Public Cloud Engineering

As a Cloud Engineer, you will oversee the design, implementation, and management...

Location

United States

Salary:

Not provided

Sysco

Expiration Date

Until further notice

Requirements

Extensive knowledge of GCP infrastructure, services, and Database solutions, including GCP private/internal access technologies, Cloud Storage, GCP BigQuery, Cloud Spanner, Dataflow, Dataproc etc
Should have a successful track record in architecting, designing, implementing, and managing systems and infrastructure in a cloud computing environment, including hybrid architectures
Bachelor’s degree in Computer Science or appropriate related field is preferred. Equivalent work experience may be substituted for these education requirements
3 years of relevant experience in public cloud administration (Google Cloud Platform)
Working experience with native cloud technologies, 3rd party automation tools as such as Jenkins, Terraform, Chef, Cloud Custodian, and automation/scripting via CLI including Python, Bash and Powershell

Job Responsibility

Lead the implementation of the Google Cloud Platform Data architecture while collaborating with cross-functional teams
Design, implement, and manage highly available and scalable cloud infrastructure on the Google Cloud Platform
Collaborate with stakeholders and application teams to understand business requirements, translate them into cloud architecture designs, and provide operational support to application teams
Develop and maintain cloud data migration strategies, including assessing existing systems, identifying gaps, and recommending remediation and infrastructure implementation plans
Ensure the security, availability, and performance of GCP resources through proper design and configuration
Implement and optimize cloud-based infrastructure solutions, such as virtual networks, private service access, storage, databases, compute resources, and identity and access management
Define and enforce cloud governance policies, including resource tagging, access controls, and cost management
Monitor, troubleshoot, and resolve issues related to GCP infrastructure, ensuring high availability and performance
Stay up to date with the latest trends and advancements in GCP and cloud computing technologies and provide recommendations for continuous improvement
Collaborate with cross-functional teams, including Data architects, developers, network administrators, security specialists, and cloud providers to ensure seamless integration of cloud solutions

Fulltime

Forward Deployed Engineer, Google Cloud, AI Expert

We are seeking a Forward Deployed Engineer (FDE) with deep expertise in Google C...

Location

Canada , Montreal

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
5+ years of software development experience using Python, TypeScript, or comparable languages, with a track record of shipping production-grade code to external or internal customers
Hands-on experience architecting and deploying AI systems on Google Cloud Platform (GCP), including: Vertex AI — model deployment, fine-tuning workflows, evaluation, and platform-level observability
Gemini models — prompt engineering, structured outputs, function/tool calling, and multimodal use cases
BigQuery and Cloud Storage — as data and grounding sources for AI workloads
Cloud Run, Cloud Functions, and Pub/Sub — for deploying and orchestrating agentic services
Gemini Enterprise Agent Platform — designing, configuring, and deploying enterprise-grade agents, grounding on customer data sources, integrating tools and connectors
Demonstrated experience building agentic and AI-driven solutions in production, including: LLM application development — prompt engineering, agent development, and evaluation frameworks
RAG architectures — vector databases, chunking strategy, and retrieval evaluation
Data pipelines — structured and unstructured data ingestion to power enterprise-grade AI solutions

Job Responsibility

Embed within customer engineering teams and lead technical discovery sessions with business stakeholders, engineering leadership, and security to translate ambiguous business problems into clear AI architectures and delivery plans
Architect, code, and ship production-grade agentic AI solutions on Google Cloud — including multi-agent systems, MCP servers, sub-agents, skills, connectors, agentic wrappers, and safety guardrails — that move customers beyond pilots into measurable business value
Design and implement Retrieval-Augmented Generation (RAG) pipelines and grounding architectures, including chunking strategy, vector databases, and embedding optimization to prevent hallucinations and ensure response quality
Build the “connective tissue” between Google’s AI products and customer infrastructure, including APIs, legacy data silos, identity, and security perimeters
Implement multi-agent patterns such as ReAct, self-reflection, and hierarchical delegation using frameworks like Google’s Agent Development Kit (ADK) or LangGraph
Build high-performance evaluation pipelines and observability frameworks for agentic systems, with attention to accuracy, safety, latency, cost-per-request, and tokens-per-second
Debug agent logic and optimize tool selection in live, high-traffic environments, including tracing conversation and request IDs across microservices to resolve production failures
Co-build with customer engineering teams and act as a hands-on advocate for AI-assisted development, introducing and operationalizing AI coding tools to accelerate delivery and elevate engineering practices
Drive a deliberate handoff to the customer’s team, ensuring long-term ownership, documentation, and end-user adoption after the engagement concludes
Develop and maintain technical documentation, architecture decision records, and evaluation results across all assigned engagements

What we offer

Comprehensive insurance plan (Gold, Silver, or Bronze) with employer contribution up to 80%
Dialogue via Sun Life virtual healthcare services
Employee and Family Assistance Program
Complete mental health support program
$500 Personal Spending Account
Retirement plan with Valtech matching 100% of RRSP contributions up to 4% via DPSP
Flexible vacation policy
Personal Technology Reimbursement $30/month
Winter holiday closure
Flexible scheduling

Fulltime

Senior Google Cloud Platform Architect

The Senior Google Cloud Platform (GCP) Architect will lead the design and govern...

Location

United States , Austin

Salary:

104000.00 - 154000.00 USD / Year ▼

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of professional experience in cloud architecture and engineering
At least 5+ years focused on Google Cloud Platform (GCP) in enterprise or production-scale environments
Proven track record designing secure, compliant GCP architectures for regulated industries (government, public safety, healthcare, finance) or environments subject to CJIS, FedRAMP, or equivalent standards
Deep expertise across GCP pillars: Infrastructure (Compute, Networking, Storage), Data & Analytics (BigQuery, Dataflow, Pub/Sub, Dataproc), Security & Identity, Operations (Monitoring, Logging, Cloud Operations Suite), Application Modernization (GKE, Cloud Run, Anthos), and AI/ML foundations
Strong understanding of zero-trust security models, encryption strategies, network perimeter controls (VPC Service Controls, Private Google Access), and observability/logging pipelines
Experience with Infrastructure as Code (Terraform strongly preferred
Deployment Manager, Cloud Foundation Toolkit, or Google-provided blueprints a plus) and CI/CD automation
Must be a US citizen or Green card holder
Ability to obtain and maintain required security clearances, attestations, or role-based access privileges under the DIR PCM contract and CJIS Security Policy
No disqualifying criminal history as defined by FBI CJIS standards

Job Responsibility

Lead end-to-end architecture design for complex GCP deployments, including multi-project/folder/organization structures, hybrid/multi-cloud connectivity, data platforms, AI/ML workloads, security posture, and operational excellence
Define and implement reference architectures, landing zones, and foundational patterns using Google Cloud best practices: Organization Policy Service, Folders, Projects, Shared VPC, VPC Service Controls, Access Context Manager, Assured Workloads, and Google Cloud for Government capabilities
Architect secure-by-design environments with zero-trust principles: CMEK encryption, Identity-Aware Proxy (IAP), BeyondCorp Enterprise, Binary Authorization, Confidential Computing, Security Command Center Premium, Chronicle SIEM, and audit logging strategies compliant with CJIS requirements
Design high-availability, disaster recovery, and business continuity solutions (multi-region/multi-zone deployments, Cloud Interconnect/Partner Interconnect, Cloud DNS, Global Load Balancing, Backup and DR services)
Guide cost optimization and FinOps strategies (Billing Budgets, Recommender, Committed Use Discounts, Sustained Use Discounts, Cloud Billing export to BigQuery for analytics)
Translate business, regulatory, and technical requirements into prescriptive GCP blueprints, reference implementations, and decision frameworks for Texas agencies
Collaborate with DIR PCM program leadership, agency stakeholders, security teams, and delivery engineers to align architectures with contract SLAs, TxRAMP controls, CJIS Security Policy, NIST 800-53/800-171 alignments, and state data classification standards
Provide technical leadership during migrations, modernization, and greenfield initiatives
conduct architecture reviews, threat modeling, and compliance gap analyses
Author architecture decision records (ADRs), design documents, security control mappings, and compliance evidence packages for audits and assessments

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
Incentive compensation based on individual and/or company performance (if not a temporary position)

Senior Cloud Platform Engineer

As a Senior Cloud Engineer, you will be at the forefront of designing and buildi...

Location

Australia , Sydney

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

Minimum of 5 years experience
Proven, hands-on experience designing and implementing solutions on Google Cloud Platform (GCP)
Deep expertise in building DevOps foundations and automated CI/CD pipelines using tools like GitHub Actions, Google Cloud Build, or similar
Strong practical experience with microservices architectures, including containerisation (Docker) and serverless compute platforms (Cloud Run, GKE)
Proficiency with Infrastructure as Code (IaC) tools, particularly Terraform
Excellent scripting and automation skills (e.g. Python, Bash, etc)
Ability to debug complex systems, optimise code, and influence engineering teams to adopt DevOps best practices
Experience with a subset of technologies in our stack is highly desirable: Cloud: Google Cloud Platform
Code: Knowledge in Go, NodeJS, Python is a huge bonus
Databases: Cloud SQL, Firestore, NoSQL (MongoDB)

Job Responsibility

Designing, building, and maintaining scalable and secure cloud infrastructure patterns on Google Cloud Platform (GCP) using Infrastructure as Code
Guiding the DevOps foundations, including CI/CD pipelines, to support our microservices architecture
Collaborating with development teams to establish best practices for building, deploying, and operating cloud-native applications on serverless platforms like Cloud Run
Automating infrastructure provisioning, configuration management, and repetitive operational tasks to enhance efficiency and reliability
Implementing and managing observability and monitoring tools to provide deep visibility into system health and performance
Championing a culture of automation and continuous improvement across all engineering teams

What we offer

Team discounts across our range of Woolworths Group brands and a robust rewards program
A global business with endless career possibilities
A progressive and flexible ‘work from anywhere' policy
A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app

Fulltime

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Google Cloud Platform Engineer

Job Description

Job Responsibility

Requirements

What we offer

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