17 of 17 Google Compute Engine Jobs

Tech Application Architect Job Summary: We are seeking a skilled and innovative Google Cloud Hosted Web Application Architect to join our team. The primary responsibility is to design, develop, and manage robust, secure, and scalable web applications hosted on Google Cloud Platform (GCP). Key Responsibilities: Design, develop … and implement large-scale web applications on Google Cloud Platform. Collaborate with development teams and other stakeholders to ensure the architectural design of applications is scalable, reliable, and secure. Provide expertise on Google Cloud services, including Compute Engine, App Engine, Kubernetes Engine, and Cloud … Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience in designing and implementing cloud-based solutions, preferably with Google Cloud Platform. Strong understanding of cloud computing technologies and architecture. Proficiency in cloud services such as Compute Engine, App Engine, Kubernetes More ❯

customer service with personalized experiences and multi-channel support. Minimum Requirements: Proven experience in coding, particularly with Flask, Nginx and Gunicorn (required) Familiarity with Google Compute Engine (required) Experience with Docker and Kubernetes (required) Experience in marketing, preferably within the technology industry, with a proven track record … of digital marketing, content creation and social media strategy (Required) Knowledge in marketing automation tools and analytics platforms. Proficiency in English (Work level, required) Google ads certificate (required) Eagerness to learn and adapt in a fast-paced environment (required) Excellent problem-solving skills and a team-oriented mindset (required … Responsibilities: Develop and maintain web applications using Python and Flask. Help the team scale and run the app smoothly. Work with Google Compute Engine for cloud solutions. Lead Olivya's digital marketing strategy. Marketing Strategy Development: Design and implement comprehensive marketing strategies that align with our business More ❯

Zencore is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in Google Cloud to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking … What you will do As a Senior Project Manager, you will lead and manage the successful delivery of engagements to drive customer adoption of Google Cloud services, like Google Compute Engine, Google Kubernetes Engine, BigQuery, Anthos, and our AI/Machine Learning capabilities. In … this role, you will regularly engage with diverse stakeholder groups, including executives of large enterprises and a cross-functional and geographically dispersed team within Google to help gather requirements, scope engagements, plan, and deliver service offerings to accelerate the cloud adoption journey. You will utilize your relationship management, leadership More ❯

discovery efforts, structuring innovative architectures, and driving strategic conversations that align business outcomes with technical vision. Working across cloud ecosystems-Microsoft Azure, AWS, and Google Cloud Platform-you will be responsible for creating compelling, scalable, and intelligent data and AI solutions that accelerate digital transformation. While extensive expertise across … capability in their core areas: Cloud Data Platforms Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake, Azure SQL Amazon Redshift, AWS Athena, AWS Glue Google BigQuery, Google Cloud Storage, Dataproc Artificial Intelligence & Machine Learning Azure OpenAI, Azure Machine Learning Studio, Azure AI Foundry AWS SageMaker, Amazon Bedrock Google … AI, TensorFlow, scikit-learn, Hugging Face Data Engineering & Big Data Azure Data Factory, Azure Databricks, Apache Spark, Delta Lake AWS Glue ETL, AWS EMR Google Dataflow, Apache Beam Business Intelligence & Analytics Power BI, Amazon QuickSight, Looker Studio Embedded analytics and interactive dashboarding solutions Cloud Architecture Azure App Services, Virtual More ❯

CoE). Your core responsibility lies in understanding our customers' training requirements and subsequently developing and delivering training programs that optimise their investment in Google technologies. You will be our internal champion for exceptional Google Cloud training, learning, and enablement. This involves collaborating with the Director of Business … Change to promote these initiatives both within Qodea (sales, marketing, and delivery teams) and externally with Google and our customers. You will balance these responsibilities with delivering training to customers both remotely and on-site, attending relevant events when required. Your strong organisational skills will be essential in supporting … or engineer with a talent for simplifying complex concepts, you will use innovative and engaging methods to empower others to harness the power of Google Cloud. Additionally, you will collaborate closely with Qodea's Subject Matter Experts (SMEs) and Technical Directors during the pre-sales process, defining the scope More ❯

efficiency of DevOps tools and practices. Continuous improvement in CI/CD performance and incident response time. About you: Extensive experience with Azure or Google Cloud Platform, either in a commercial setting or private projects, with knowledge of alternative cloud providers such as AWS an advantage. Comfortable with Linux … as Cloud IAM, Organisation Policy Service, Firebase Authentication, Identity Platform, Cloud KMS, Certificate Manager, VPC, Cloud Storage, Cloud CDN, pub/sub, Cloud SQL, Compute Engine, Google Kubernetes Engine, Cloud Run. OR Experience with Azure features such as Azure Active Directory, RBAC, Azure Policy, Azure AD … showcase your skills and what you can contribute. Our interview process: Stage - Intro Call with a member of the Talent team, Andrew (30 minutes Google Meet) Stage - Take home tech test (no deadline, simply return when you're happy) Stage - Final stage interview with at least 2 members of More ❯

Backend & DevOps Engineer to join our team. You will be responsible for designing, developing, and maintaining backend services using Spring Boot 3 while leveraging Google Cloud Platform (GCP) services with a focus on DevOps. Your expertise in Java based platform technologies, authentication, API integrations, and cloud infrastructure will be … critical in shaping our backend and deployment architecture. Tasks Develop, deploy and maintain backend services using Spring Boot 3 . Work with Google Cloud Services (such as Compute Engine, Cloud Run, Secret Manager, Logging API, Monitoring, Load Balancing) to optimize and scale our platform SaaS solution. Ensure … related issues through tooling like Aikido and Orca Security. Requirements 5+ years of experience in backend development with Java & Spring Boot Experience working with Google Cloud Platform (GCP) , particularly Compute Engine, CloudRun, Monitoring, Logging API and Load Balancing . Strong understanding of working with REST and GraphQL More ❯

Ability to provide exceptional customer interaction (verbal, written, face-to-face) Systems administration (e.g. Linux, Windows) experience with IaaS Solutions (egs.: Amazon Web Services, Google Compute Engine, or Microsoft Azure). Administering and managing an on-prem installation of an Appian environment is a huge plus. Administration More ❯

Rocket) Preferred technical and professional experience Experience deploying and configuring services using infrastructure as a service (IaaS) providers (e.g.,Amazon Web Services, Microsoft Azure, Google Compute Engine, RackSpace/OpenStack) Experience debugging cluster-based computing architectures Experience using scripting or basic programming skills to solve problems Experience More ❯

robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and … maintain data models and schemas to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big … Query. Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your More ❯

robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and … maintain data models and schemas to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big … Query. Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your More ❯

List for the first time. About Us Lilt is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enable global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With … using AI technology to deliver multilingual, digital customer experiences at scale. As a result, Lilt's AI technology foundation is similar to ChatGPT and Google Translate, before our patented Contextual AI Engine, connector-first approach, and human-adapted feedback. Our team is located globally in San Francisco, Indianapolis … Bash). - High proficiency with at least one configuration management/infrastructure as code (IaC) tool, preferably Terraform. - Experience with GCP services such as Compute Engine, shared VPC, and data analytics or equivalents from other vendors. - Solid understanding of Docker and hands-on experience with orchestration frameworks like More ❯

Role: Google Cloud Engineer Location: Charlotte, NC Duration: Long Term Contract About the Role:We are seeking an experienced Google Cloud Engineer to join our team on a contract basis. The ideal candidate will be responsible for designing, developing, and managing scalable, secure, and resilient infrastructure and services … on Google Cloud Platform (GCP You will work closely with DevOps, application development, and security teams to implement cloud solutions that align with our business goals. Responsibilities: Design and implement GCP-based solutions to support scalable and secure applications. Manage and monitor cloud resources, services, and security using GCP … hardening, and performance tuning. Troubleshoot issues across cloud services and applications. Ensure compliance with security and operational best practices. Requirements: Proven experience as a Google Cloud Engineer or similar role. Robust understanding of GCP services such as Compute Engine, Cloud Storage, GKE, Cloud Functions, Pub/Sub More ❯

list of tech/skills you’ll use in the role: AWS & GCP and various services, including AWS ECS, EC2, Fargate, Lambda, and GCP Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Terraform for IaC Docker Kubernetes Linux (sysadmin including firewalls and hardening) Web Server More ❯

present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud. This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative AI technologies to … in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: Google Cloud Platform (GCP) Expertise Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine … and pre-trained models. Understanding of Vertex AI's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud More ❯

you are working for a stable company that values you and is committed to ensuring you receive the utmost employee care. Responsibilities As a Google Cloud Engineer, you will design, implement, and manage Google Cloud Platform (GCP) solutions. You will also collaborate with cross-functional teams to integrate … GCP services into the program's architecture. We are seeking candidates with hands-on experience in GCP technologies. Responsibilities: Configure and manage Google Cloud Platform resources such as Compute Engine, BigQuery, and Cloud Storage. Automate deployment processes using infrastructure as code tools (e.g., Terraform, Deployment Manager). … Secret/SCI with Poly Bachelors and five (5) years or more experience; relevant experience to be substituted in lieu of degree. Experience with Google Cloud Platform services and tools Knowledge of containerization technologies such as Docker and Kubernetes Familiarity with networking concepts in GCP (e.g., Virtual Private Cloud More ❯

and intrusion detection systems. Experience with containerization technologies. About the job Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will … termination. Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their … security issues and implement and design security controls, tools, and services to improve security systems and processes. Configure, provision and maintain GCP resources, including Compute Engine, Cloud Storage, VPC, Cloud IAM, Cloud SQL, and other relevant services. Perform routine maintenance tasks, including patching, upgrades, and backups. Implement and More ❯