Elevate Your Impact Through Innovation & Learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies.

With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients business impact and strategic decision-making.

We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific.

Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

About Data Analytics (DA)

Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.

What you will be doing at Evalueserve

As a GCP Architect, you will play a crucial role in designing, implementing, and executing data migration strategies from a cloud based data analytics platform to Google Cloud. Your expertise will ensure a seamless transition while optimizing performance, scalability, and security.

Key Responsibilities

Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Develop estimates and strategies for proposals and Statements of Work (SOWs) using GCP best practices.
Technical Discovery:
Conduct thorough technical discovery, identifying pain points, existing infrastructure, and future state scenarios.
Evaluate the entire technology stack, including operations, administration, automation, and relevant cloud services.
Solution Design:
Design cloud architectures for migrating on-premises data warehouses/marts from Azure to GCP.
Prioritize use cases related to data migration, considering scalability, reliability, and performance.
Implementation and Troubleshooting:
Assist in the migration process, ensuring smooth transitions and resolving any issues related to cloud infrastructure.
Troubleshoot and optimize data migration workflows.
Disaster Recovery and Security:
Participate in disaster recovery planning and implementation.
Ensure compliance with security standards during migration.
Have good working Experience on different cloud platforms like AWS, Azure, GCP with strong exposure and experience in GCP:
Understands the Cloud Assessment methodology & Cloud Migration Framework, tools
Good assessment & analysis skills to be able to map the collected cloud attributes to the decision tree rules for cloud suitability, cloud migration patterns etc
Be able to define a target landing platform architecture & design
Be able to independently assess different cloud attributes and determine the relevant target state for migration
Very good knowledge of the cloud migration patterns like Re-host, Re-platform, Re-factor and be able to apply the relevant pattern based on client responses to cloud questionnaires
Explain & effectively communicate the target state, architecture & topology on GCP cloud to client stakeholders
Knowledge of containerization and orchestration technologies (e.g., Docker, GKE)
Strong experience in setting up and managing CI/CD pipelines (e.g., Jenkins, GitLab CI/CD, Github Actions, JFrog)
Deep experience in at least one of these - infrastructure architecture, web application architecture, data architecture, integration architecture and excellent understanding in other cloud native solutions
Good understanding of the networking aspects on cloud, defining network security groups, policies, configuring load balancers, application gateways

What were looking

Expert in Google cloud CI/CD Cloud transformation and migration, Cloud security, Machine learning and artificial intelligence.
Experience working on large scale cloud deployments in the GCP space as well as being the SME for all architectural issues.
The Cloud architect will be comfortable working in a consulting capacity and dealing with stakeholders of all levels
Google Cloud technical certification, such as Professional Cloud Developer or Professional Cloud Architect or equivalent.
Solid understanding of cloud services offered by Azure/AWS/GCP, specifically the infrastructure, security, IAM and application orchestration services along with managed services for building SaaS/ PaaS applications
Cloud migration and cloud consulting experience required with primary on Google Cloud Platform (GCP) with MS Azure and AWS as secondary
Knowledge in multi and hybrid cloud design and maintenance
Scripting and automation skills: YAML, Ansible, Terraform, and Python
Network, Infrastructure and Security certifications on GCP (specifically Certified Kubernetes Application Developer (CKAD), GCP Professional Cloud Kubernetes Engine Specialist, GCP Professional Cloud Kubernetes Engine Architect, GCP Professional Cloud Anthos Architect)
Competent in people leadership, communication, and presentation skills.

Principal Consultant - Cloud Architect

Looking For Principal Consultant-GCP Certified Cloud Architect