Senior Cloud Platform Engineer

Job summary

Description: We are seeking a Senior Cloud Platform Engineer to design, build, and operate a secure, scalable cloud platform supporting ADAS data ingestion, processing, analytics, and validation workflows. This role combines hands-on engineering with platform ownership across Azure infrastructure, Databricks, CI/CD pipelines, and operational tooling.

Qualifications

• such as GDPR, data residency, retention, and cross-border data constraints.
• The position requires strong DevSecOps thinking, ownership mindset, and the ability to translate security, compliance, and operational
• into practical engineering solutions.
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• Translate security and compliance findings into actionable system improvements (IaC, policies, logging, encryption, backup, recovery)
• RELIABILITY & OPERATIONS
• Monitor, troubleshoot, and resolve infrastructure and platform incidents across cloud, data, and application layers
• Improve system performance, observability, and cost efficiency
• Implement best practices for scaling, lifecycle management, and resiliency
• Maintain operational documentation, runbooks, and post-incident reports
• COLLABORATION & TECHNICAL LEADERSHIP
• Collaborate with ADAS, data engineering, backend, cybersecurity, and governance teams

Responsibilities

• CLOUD INFRASTRUCTURE & PLATFORM ENGINEERING
• Design, implement, and operate Azure infrastructure across multiple subscriptions, regions, and environments
• Build and maintain networking components including VNets, subnets, NSGs, private endpoints, private DNS zones, route tables, and service endpoints
• Operate Azure services such as App Services, deployment slots, Container Registry, Storage, PostgreSQL Flexible Server, Key Vault, and Entra ID
• Develop and maintain reusable Terraform modules for infrastructure and data platform provisioning
• Enforce infrastructure-as-code standards including environment segregation, plan reviews, approval gates, drift detection, and state hygiene
• DATABRICKS & DATA PLATFORM
• Design and administer Databricks workspaces, Unity Catalog structures, clusters, cluster policies, SQL warehouses, and jobs
• Build and deploy scalable Spark-based data pipelines for ingestion and processing
• Manage identities, service principals, secret scopes, and Key Vault integrations
• Optimize platform performance, cost efficiency, and governance
• Support domain-driven and region-aware data products with consistent access control and governance

Skills

Certifications

Degrees

Work schedule

Industry

Company size

Security clearance