Cloud Infrastructure Engineer (GCP) 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

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

Senior GCP Cloud Engineer

We are seeking a Senior GCP Cloud Engineer to lead design, deployment, and opera...

Location

United States , Claymont

Salary:

140000.00 - 180000.00 USD / Year

Beacon Hill

Expiration Date

Until further notice

Requirements

4+ years of hands-on GCP experience (Cloud Run, GKE, VPC, IAM, Secret Manager)
2+ years of Terraform experience, including module development and IaC standards
Strong experience building and managing CI/CD pipelines for cloud environments
Proven architecture and design experience in GCP environments
Deep expertise in cloud networking, security, IAM, and observability
Advanced Terraform skills, including state management and GitOps workflows
Strong troubleshooting and root cause analysis across cloud, network, and identity systems
Ability to influence decisions and operate in security- and compliance-driven environments

Job Responsibility

Lead design, deployment, and operations of cloud infrastructure within a secure, scalable, and highly governed environment
Own GCP platform engineering, Terraform standards, and cloud reliability
Partner across security, networking, and application teams

Fulltime

Senior Principal Software Engineer ( Cloud Infrastructure and Platform Engineering )

Your Career At Palo Alto Networks, Secure Cloud and AI infrastructure is the fou...

Location

United States , Santa Clara

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science or a related technical field, or equivalent experience
9+ years of relevant software engineering experience, with a proven track record of technical leadership and innovation
Demonstrated experience defining and leading large-scale, cross-organizational technical initiatives from concept to completion
Experience building and scaling platforms that serve thousands of engineers in complex environments
Strong foundation in application and infrastructure security, including secrets management, supply chain security, and secure-by-default platform design
Recognized expertise in developer platforms, cloud-native infrastructure, container orchestration technologies (e.g Kubernetes) and CI/CD
Deep proficiency with a major cloud platform (GCP preferred), including IAM, managed databases, networking, and Workload Identity
Experience designing and maintaining Infrastructure as Code (e.g. Terraform) at scale, including module architecture and state management
Expertise in authentication/authorization systems: OAuth 2.0, OIDC, token lifecycle management, and zero-trust patterns
Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems

Job Responsibility

Define the Vision: Architect and own the technical roadmap for AI-enhanced developer tools and infrastructure in CIPE at Palo Alto Networks
Evaluate and Execute Solutions: Lead the design and implementation of novel systems that leverage Large Language Models (LLMs), static/dynamic analysis, and machine learning to create a world-class, intelligent developer experience
Drive Organization-Wide Impact: You are a builder, so you won't just stop at ideation. Beyond concepts, ensure your builds show step-change improvements in key engineering metrics like including code velocity, review cycle time, test effectiveness, incident reduction, and overall feature launches
Lead Cross-Functional Initiatives: Spearhead complex, cross-functional projects that require influencing and aligning multiple engineering organizations and their leadership
Enable Secure Innovation: Develop foundational AI platforms that empower teams to prototype, deploy, and scale threat-intelligent cloud features, embedding Palo Alto Networks' security natively
Serve as Technical Authority: Act as the go-to expert on AI-augmented cloud platforms, mentoring senior engineers and infusing industry-leading practices into our high-stakes ecosystem
Innovate at Enterprise Scale: Address intricate challenges in multi-cloud environments (AWS, Azure, GCP, and OCI) supporting thousands of microservices, secure workloads, and global threat detection pipelines

What we offer

restricted stock units
bonus

Fulltime

Sr. Cloud Infrastructure Engineer (Ai & Llm Platforms)

We are seeking a specialized Infrastructure Engineer to bridge the gap between o...

Location

Salary:

Not provided

Q6 Cyber

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, Platform Engineering, or SRE, with at least 1-2 years specifically focused on AI/ML infrastructure
Proven track record of building production-grade RAG pipelines or LLM-integrated applications
Thrives in 'day zero' environments where the tools and protocols (like MCP) are evolving weekly
Deep understanding of the security implications of LLMs (prompt injection, data leakage, and secure tool execution)
Experience working with substantial datasets (over 1bn objects, dozens or hundreds of TBs) and the challenges of leveraging AI tools with these data sets
Bachelor's degree or equivalent in computer science or related field
Cloud & Orchestration: AWS/GCP/Azure, Kubernetes, Terraform, Helm
AI Frameworks: LangChain, LlamaIndex, LangGraph
Data & Vectors: Pinecone, Milvus, Qdrant, or pgvector
Apache Kafka/Pulsar

Job Responsibility

Guide the architecture that will allow us to leverage AI tools with our large existing data stores and incoming streams of realtime intelligence
Work closely with other infrastructure engineers and software development teams to integrate AI tools into existing systems
Design, deploy, and maintain Model Context Protocol (MCP) servers to allow LLMs to securely interact with our internal databases, APIs, and external tooling
Build and orchestrate sandboxed, scalable environments (e.g., using Docker or specialized runtimes) where users can safely build and execute AI agents
Develop and manage the infrastructure for our internal RAG (Retrieval-Augmented Generation) pipeline, including vector database management (e.g., Pinecone, Weaviate, or pgvector) and automated embedding pipelines
Utilize Kubernetes (K8s) and Infrastructure as Code (Terraform/Pulumi) to deploy LLM-related tools, ensuring high availability and low latency for model inference and data retrieval
Implement strict guardrails for data privacy within LLM workflows, ensuring internal datasets remain secure while being accessible to authorized AI tools

What we offer

We offer a competitive compensation package and comprehensive benefits package

Fulltime

GCP Cloud Engineer

We are currently seeking a GCP Cloud Engineer - REMOTE in US to join our team in...

Location

United States , Plano

Salary:

70000.00 - 105000.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience in cloud engineering, operations, and/or support (provisioning, configuring, securing, supporting, and optimizing cloud-native and hybrid workloads in AWS, Azure, GCP, and/or OCI)
3+ years multi-cloud experience (must have hands-on in at least 2 of AWS/Azure/GCP/OCI
familiarity in all is preferred.)
Experience in scripting languages (Python, Bash, PowerShell, etc.)
Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and automation tools (Terraform, CloudFormation, ARM templates, etc.)

Job Responsibility

Provision, configure, and maintain cloud infrastructure across OCI and AWS, Azure, GCP
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

Cloud Engineer - GCP & Databricks

As a Cloud Engineer, you are passionate about experience innovation and eager to...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

6+ years of hands-on professional experience in cloud data engineering or GCP platform roles
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
BigQuery with advanced SQL, partitioning, clustering, and cost optimization
Cloud Storage, Cloud Functions, Cloud Run
Dataflow (Apache Beam) for batch and streaming pipelines
Cloud Composer / Airflow for orchestration
Pub/Sub for event-driven architectures
Vertex AI exposure for model serving or pipelines
IAM, VPC, organization policies, and security governance
Terraform for infrastructure as code

Job Responsibility

Design GCP-native architectures using BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
Build and maintain batch and streaming data pipelines using medallion architecture (Bronze, Silver, Gold)
Implement infrastructure as code using Terraform
Manage deployments through CI/CD pipelines such as Cloud Build
Define and enforce GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and organization policies
Build end-to-end Databricks Lakehouse solutions on GCP
Design Delta Lake tables with proper governance using Unity Catalog
Develop and optimise PySpark and SQL workloads for large-scale transformations
Configure Databricks clusters, job scheduling, autoscaling, and cost controls
Implement Databricks Workflows and Asset Bundles for orchestration and CI/CD

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime