Google Cloud Platform Architect

Job Title : GCP Architect

Experience : 10+ yrs

Location : Pune, Hyderabad, Chandigarh, Bangalore

Work Mode : Hybrid

Company :

Company is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses.

Job Description :

- A Seasoned architect with a minimum of 10+ years and designing medium to large scale Application-to-Application integration requirements leveraging API, APIMs, ESB, product-based hybrid implementation.

- Good understanding of GCP cloud environment/services (IAM, Networking, Pub/Sub, Cloud Run, Cloud Storage, Cloud SQL/PostgreSQL, Cloud Spanner etc) based on real migration projects

- Experience/Exposure for Openshift & PCF on GCP & DevSecOps will be an added advantage . Ability to make critical solution design decisions

- Knowledge of Java / Java frameworks. Have leveraged/ worked with any or all technology areas like Spring boot, Spring batch, Spring boot cloud etc.

- Experience with API, Microservice design principles and leveraged them in actual project implementation for integration.

- Deep understanding of Architecture and Design Patterns

- Need to have knowledge of implementation of event-driven architecture, data integration, event streaming architecture, API driven architecture.

- Need to have an understanding and designed integration platform to meet the NFR requirements.

- Should have implemented design patterns like integrating with multiple COTS applications, integrations with multiple databases (SQL based and also NoSQL)

- Have worked with multiple teams to gather integration requirements, create Integration specification documents, map specifications, write high level and detailed designs, guiding the technical team for design and implementation.

- Needs to be well versed with DevOps principal and need to have working experience in Docker/containerization.

- Experience in solution and execution of IaaS, PaaS, SaaS-based deployments, etc.

- Require conceptual thinking to create 'out of the box solutions

Mandatory Skills :

- Extensive GCP Services Knowledge: Minimum of 7+ years of hands-on experience designing and implementing solutions across a broad range of Google Cloud Platform services including:

- Compute: Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, Cloud Run, App Engine.

- Networking: VPC, Load Balancing, Cloud CDN, Cloud DNS, Cloud VPN, Interconnect.

- Storage & Databases: Cloud Storage, Cloud SQL (PostgreSQL, MySQL), Cloud Spanner, Firestore, Bigtable, Memorystore.

- Security: Identity and Access Management (IAM), Key Management Service (KMS), Secret Manager, Security Command Center.

- Monitoring & Logging: Cloud Monitoring, Cloud Logging.

- Programming & Scripting: Strong proficiency in at least one of the following programming languages for cloud automation and application development: Python, Java, or Go.

- Containerization & Orchestration: Deep expertise with Kubernetes and Docker for deploying and managing containerized applications. Experience with GKE is essential.

- CI/CD Tools & Practices: Proven experience in designing and optimizing CI/CD pipelines using cloud-native tools like Cloud Build, Artifact Registry, and familiarity with other industry-standard tools (e.g., GitLab CI/CD, Jenkins).

- Database Expertise: Solid understanding of both SQL (e.g., PostgreSQL, MySQL, Cloud SQL) and NoSQL (e.g., Firestore, MongoDB, Cassandra) databases, including their strengths, weaknesses, and optimal use cases.

- Security Fundamentals: Comprehensive understanding of cloud security best practices, identity management (IAM), access controls, network security (VPC, firewalls), and data encryption.

Preferred Skills :

- GCP Certifications: Holding a current GCP Professional Cloud Architect certification is highly advantageous. Other relevant certifications (e.g., GCP Professional Data Engineer, Professional DevOps Engineer) are a plus.

- Data & Analytics: Familiarity with GCP's data analytics services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Data Catalog.

- Migration Experience: Experience in migrating on-premise or other cloud environments to GCP.

- Infrastructure as Code: Experience with Infrastructure as Code (IaC) tools like Terraform or Cloud Deployment Manager.

- Enterprise Architecture Frameworks: Familiarity with enterprise architecture frameworks (e.g., TOGAF).

- Should be good in communication and should be able to handle both customer and development team to deliver an outcome.