Cloud Solution Architect (GCP)

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Bachelor's or Master's degree in IT, Business Management, Computer Science, or Electronics
• Minimum 5 years of experience as a Cloud Solution Architect
• Proficiency in Google Cloud Platform, Architecture Design, and Architecture Governance
• Hands-on expertise in designing, configuring, and operating IaaS services on Google Cloud, including Compute Engine (VMs), Google Kubernetes Engine, and VPC networking
• Skills in designing and implementing PaaS solutions using App Engine, Cloud Run, and managed databases such as Cloud SQL, Firestore, and Bigtable
• Background in data platforms including BigQuery, Cloud Storage, and Dataproc/Databricks
• Experience with CI/CD tooling on GCP including Cloud Build, Cloud Deploy, and Git-based platforms such as GitHub
• Deep understanding of cloud-based data integration patterns and modern data architectures
• Strong troubleshooting skills for complex application deployment scenarios with engineering and coding experience in agile environments
• Proven record in technical architecture design, solution definition, and change and risk management
• Familiarity with large international organizations or global service providers
• Excellent interpersonal, stakeholder engagement, presentation, and documentation skills; self-starter and collaborative
• Fluency in English (B2+), written and spoken, with emphasis on technical communication skills

Nice to have:

• Capability to design and develop AI solutions like copilot agents supporting CCoE and customers
• Experience with Microsoft Azure and Azure DevOps
• Understanding of Cloud Design Patterns, Modern Architecture, and Solution Architecture best practices
• Knowledge of Innovation Strategy and driving adoption of new technology solutions

• Provide expertise and leadership in cloud onboarding across Microsoft Azure and Google Cloud Platform, covering both technology and process aspects
• Educate and guide DevOps teams in designing compliant, secure, and scalable cloud architectures tailored to their needs
• Serve as a consulting partner to DevOps teams, helping them achieve their objectives and remove roadblocks throughout their cloud journey
• Represent the Cloud Center of Excellence (CCoE) as ambassador and main point of contact for DevOps teams
• Promote cloud cost awareness and educate teams on cloud spend management and optimization strategies
• Test and develop new cloud technologies and be hands-on to validate solutions or accelerate adoption
• Identify service gaps and collaborate with CCoE product owner to enhance customer experience
• Contribute to design and review of cloud architectures for cloud-native and hybrid applications
• Support DevOps teams to improve automation capabilities, including CI/CD pipelines and infrastructure as code
• Document solution designs and relevant information
• Design, develop, and support AI solutions to automate CCoE processes and customer experiences