Excellent Programming skills in Python with object-oriented design
Excellent knowledge in current computing trends and technologies
Working experience in Generative AI (GenAI) technologies is preferred.
Experience in designing and implementing cloud infrastructure, platforms, and applications
Hands-On Experience on Infrastructure as a Code using terraform /pulumi /typescript in GCP
Hands-On Experience with Google Cloud platform & product deployment and automation
Hands-On Experience with Multi cloud API building
In-depth knowledge of Kubernetes, K8s administration, devops , Databases, and CI/CD
Knowledge of commonly used tools/components/technologies in applications Flyte/Airflow, Ray, MLflow, Elastic search, Kibana, etc.
Strong understanding across cloud and infrastructure components (server, storage, network, data, and applications) to deliver end to end cloud infrastructure, architectures, and designs
Excellent logical, analytical, debugging and problem-solving skills
Key Job Responsibilities:
Design and deploy cloud environments with a focus on GCP and demonstrate technical cloud architectural knowledge, playing a vital role in the design of production, staging, QA, and deployment of cloud infrastructures running in 247 environments
Architect End to end scalable and Optimized data solutions for data ingestion, curation, storage, data pipelines for AI/ML development and deliver to the end user based on business need
Design, Develop and deploy various data pipelines based on the use case scenarios
Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
Continuously Ideates and improvises on the requirements and apply new techniques and methods
Able to work in & contribute as a good team player
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time