Data Cloud Architect

Virtusa; New York (NY); Sur place; USD 140 000 - 220 000; Plein temps

Résumé du poste

Virtusa seeks a Data, Cloud & DevOps Architect to design and scale secure cloud infrastructure and automated DevOps pipelines in a regulated environment. You will enable AI/ML capabilities, support genomics and bioinformatics data workflows, and govern modern workplace platforms.

Responsibilities include building scalable Nextflow-based pipelines, managing Seqera/Nexla integrations, and optimizing cloud spend with FinOps dashboards. A PMP/CSM and cloud certifications are highly valued.

Qualifications

• Experience designing secure cloud architectures and automated DevOps infrastructure.
• Familiarity with multi-AZ cloud deployments and cloud governance.
• Strong background in data engineering platforms and pipelines.

Responsabilités

• Architect and oversee CI/CD pipelines on Kubernetes.
• Deploy AI/ML platforms and vector databases (Weaviate, Qdrant).
• Support Nextflow-based scientific workflows via Seqera and Nexla pipelines.
• Oversee governance for Microsoft 365, SharePoint Online, Teams, and Power Platform.
• Lead FinOps initiatives for cloud spend optimization.

Connaissances

Data architecture

Cloud & DevOps

CI/CD

Kubernetes

AI/ML platform

Outils

GitHub Actions

ArgoCD

Helm

Jenkins

Description du poste

Job Requirements

• Data, Cloud & DevOps Architect focuses on designing, scaling, and managing secure cloud architecture, automated DevOps infrastructure, and specialized data engineering platforms. This role acts as a strategic technical coordinator, enabling advanced AI/ML capabilities, supporting production-grade scientific data pipelines (including genomics and bioinformatics workflows), and overseeing modern workplace platform governance within complex, regulated environments.


• Cloud & Infrastructure Transformation: Design and deploy highly available, multi-AZ cloud architecture on AWS; automate end-to-end infrastructure provisioning, compliance scanning, and cloud environment configuration using Terraform and CloudFormation.

Job Requirements

• Data, Cloud & DevOps Architect focuses on designing, scaling, and managing secure cloud architecture, automated DevOps infrastructure, and specialized data engineering platforms. This role acts as a strategic technical coordinator, enabling advanced AI/ML capabilities, supporting production-grade scientific data pipelines (including genomics and bioinformatics workflows), and overseeing modern workplace platform governance within complex, regulated environments.


• CI/CD & Cloud Operations: Architect and manage secure CI/CD pipelines on Kubernetes using tools like GitHub Actions, ArgoCD, Helm, and Jenkins; establish operational monitoring dashboards and performance metrics.


• AI/ML Platform Enablement: Deploy scalable vector databases (such as Weaviate and Qdrant) and build secure cloud backend infrastructure to support GenAI applications and MLOps integration.


• Scientific Data Pipelines Support: Onboard, integrate, and provide operational support for scalable Nextflow-based scientific data pipelines via the Seqera Platform; manage and troubleshoot Nexla production data pipelines for transformation and delivery across S3, APIs, and databases.


• Modern Workplace Governance: Oversee enterprise adoption, governance, and automated provisioning models for Microsoft 365, SharePoint Online, Teams, and Power Platform solutions.


• Financial & Cost Governance: Spearhead cloud spend optimization initiatives through rightsizing, savings plans, intelligent workload scheduling, and dedicated FinOps reporting dashboards.


• Experience & Certifications: Extensive experience in data-focused cloud architecture and technical project coordination. Key certifications include Project Management Professional (PMP), AWS Certified Solutions Architect, Google Cloud Associate Cloud Engineer, and Certified Scrum Master (CSM).


• Data Engineering & Orchestration: Proven expertise with Seqera Platform, Nextflow, Nexla, AWS Batch, and managing large-scale ETL/ELT pipelines for scientific or high-performance compute workflows.


• Cloud Architecture & Security: Deep knowledge of the AWS Well-Architected Framework, Zero Trust models, multi-account

Work Experience

10-15Years