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Job Summary

Looking for an experienced Google Cloud Platform (GCP) Architect for our project/ organization on design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions. The primary responsibility of this role will be building and overseeing cloud systems, including servers,
storage, and network infrastructure. The GCP Architect will collaborate closely with IT teams and other internal groups across the organization to enhance and optimize our cloud infrastructure performance, implement cutting-edge, scalable, high-performance solutions (such as AI/ML, IoT, advanced analytics,
open source, enterprise collaboration, microservices, and serverless) that satisfy the requirements of today’s corporate and emerging digital applications using Google Cloud Platform.

Duties and Responsibilities

• Create a well-informed cloud strategy and maintain the adaptation process.
• Evaluate cloud applications, hardware, and software requirements.
• Identify the best cloud architecture solutions to meet customer’s needs and business requirements.
• Design cloud infrastructures running in high availability environments.
• Design and implement IaaS and PaaS solutions.
• Develop enterprise cloud guidelines and automations.
• Oversee all aspects of the GCP environment, including provisioning, scaling, monitoring, security, and deployment.
• Implement systems, solutions, and processes to manage cloud costs, scalability, redundancy, and continuous validation.
• Manage and monitor cloud-based applications and services.
• Collaborate with IT security to monitor cloud privacy.
• Collaborate with architecture, DevOps, data, and integration teams to ensure best practices are followed throughout cloud adoption and respond to technical issues.
• Develop estimates and strategies for proposals and SOWs for clients using the lead cloud solution and scoping.
• Evaluate the entire technology stack, including operations, administration, automation, and PaaS (Platform as a Service), IaaS (Infrastructure as a Service), and SaaS (Software as a Service).
• Perform a thorough technical discovery, identifying problem areas, technical and business requirements, and as-is and future state scenarios.

Required Skills and Experience

• 7+ years of experience in cloud architecture or systems engineering
• Experience with identity management and networking segmentation across multiple VPC networks and projects.
• Experience establishing technical strategy and architecture at the enterprise level.
• Experience with one or more third-party networking products.
• Experience leading GCP Cloud project delivery.
• Experience working with infrastructure as code tools such as Ansible, Chef, or Terraform
• Experience leading large-scale network migrations to GCP.
• Expertise in GCP services.

• Knowledge of security, identity, and access management, network security design including segmentation, encryption, logging, and monitoring
• Knowledge of networking protocols such as TCP/IP and HTTP/S, network topologies, load balancing, and segmentation
• Knowledge of programming languages including Python, Ruby, and JavaScript
• Strong communication, presentation, and leadership skills.

Preferred Qualifications
• Bachelor’s degree or master’s degree in computer science, information technology.
• Google Cloud Certified – Professional Cloud Architect certification.

Job Summary

We are looking for a highly skilled Google Cloud Platform (GCP) Data Science Engineer. As a GCP Data Science Engineer, you will play a key role in developing, deploying and maintaining cloud-based applications using, Machine learning, Data analysis and Business Intelligence techniques to explore,
analyze, visualize, and create dashboards with fully managed tools or customize the analytics environments to suit business needs. You will collaborate with functional teams to understand business requirements and design and implement solutions that leverage GCP’s suite of services.

The candidate should have a strong background in cloud computing, software development, and a deep understanding of GCP services such as Cloud Storage, BigQuery, Looker, Looker Studio, Vertex AI Notebooks, AutoML, BigQuery ML, Spark on Google Cloud, Explainable AI, Vertex AI Pipelines and
Cloud Composer.

Duties and Responsibilities
• Developing and deploying scalable, reliable, and secure cloud-based applications on Google Cloud Platform.
• Implementing best practices for cloud architecture, continuous integration, and deployment.
• Optimizing applications for performance, scalability, and cost-efficiency on GCP.
• Develop and maintain visualization dashboards.

Required Skills and Experience
• 7+ years of overall experience with 3+ years of hands-on experience as Data Science Engineer in GCP.
• Extensive knowledge and hands-on experience with GCP services (i.e., Cloud Storage, BigQuery, Looker, Looker Studio, Vertex AI Notebooks, AutoML, BigQuery ML, Spark onGoogle Cloud, Explainable AI, Vertex AI Pipelines and Cloud Composer etc.)

• Strong programming skills in languages such as Python, Java, or Go, and familiarity with cloud-native languages like Go or Node.js.

• Experience with DevOps practices, automation tools, and implementing continuous integration and deployment pipelines.

• Knowledge of security best practices, identity and access management, and compliance standards on GCP.
• Strong analytical and problem-solving skills to troubleshoot and resolve technical issues efficiently.
• Must possess exceptional coding & Scripting skill.
• Experience with CI/CD pipelines and tools like Jenkins or GitLab.

Preferred Qualifications
• Bachelor’s degree / Master’s degree in computer science, information technology.
• Google Cloud Certified – Professional Data Engineer or Professional Machine Learning Engineer
certification.

Job Summary

We are looking for a highly skilled Google Cloud Platform (GCP) Developer. As a GCP Developer, you will play a key role in developing, deploying and maintaining cloud-based applications on the Google Cloud Platform. You will collaborate with functional teams to understand business requirements and design and implement solutions that leverage GCP’s suite of services. Your expertise in GCP will be crucial in optimizing application performance, ensuring security, and contributing to the overall success of cloud-based projects. The role involves leveraging various GCP services and tools to build scalable, reliable, and efficient cloud-based applications. 

The candidate should have a strong background in cloud computing, software development, and a deep understanding of GCP services such as Compute Engine, Cloud Storage, BigQuery, and Kubernetes Engine. You should be proficient in programming languages such as Python, Java, or Go, and have experience with CI/CD pipelines, infrastructure as code (IaC), and containerization technologies. Excellent problem-solving skills

Duties and Responsibilities
• As an GCP Developer, you will be responsible for fetching data (IoT, Structured, Unstructured) from various data sources to Google Data Cloud or implementing data solutions using Google Data Cloud services.
• Developing and deploying scalable, reliable, and secure cloud-based applications on Google Cloud Platform.
• Implementing best practices for cloud architecture, continuous integration, and deployment.
• Optimizing applications for performance, scalability, and cost-efficiency on GCP.
• Develop and maintain CI/CD pipelines.
• Troubleshooting and resolving technical issues related to cloud-based applications.
• You need to work on the GCP architecture according to the needs and requirements of business.
• Work with GCS (Google Cloud SQL) for handling the user data or client data.
• Directly support the use and delivery of cloud services in the organization.

Required Skills and Experience
• 5+ years of experience
• Extensive knowledge and hands-on experience with GCP services (i.e., Cloud Storage, Compute Engine, App Engine, Kubernetes Engine, Cloud Composer, Big Query, Big Table, Cloud Dataflow, PubSub, Data Fusion, Dataproc, Airflow ,Docker etc.)

• Strong programming skills in languages such as Python, Java, or Go, and familiarity with cloud-native languages like Go or Node.js.

• Understanding of cloud architecture principles, microservices architecture, and distributed systems.
• Experience with DevOps practices, automation tools, and implementing continuous integration and deployment pipelines.
• Knowledge of security best practices, identity and access management, and compliance standards on GCP.

• Strong analytical and problem-solving skills to troubleshoot and resolve technical issues efficiently.
• Proficient in Cloud computing, web development and data management
• Must possess exceptional coding & Scripting skill.
• Knowledge of infrastructure automation tools and CLI 

• Cloud security knowledge
• Experience with CI/CD pipelines and tools like Jenkins or GitLab.

Preferred Qualifications
• Bachelor’s degree / Master’s degree in computer science, information technology.
• Google Cloud Certified – Professional Cloud Developer certification.