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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cloud Platform Engineer - **Company:** Bertrandt US Inc - **Location:** San Jose, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Layers, Software System Penetration Testing, Microsoft Azure, Backup Devices, Bash Shell, Cloud Computing, Code Review, Cyber Security, Computer Networks, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, DevOps, Domain Name System (DNS), Identity and Access Management, IP Routing, Python (Programming Language), PostgreSQL, Log Analysis, Modular Design, Role-Based Access Control, Prometheus, Azure DevOps Pipelines, SQL Databases, Software Vulnerability Management, YAML, Policy as Code, Tisax, Data Logging, Cloud Platform System, Data Classification, Data Ingestion, Cloud Monitoring, Grafana, Apache Spark, Backend, Build Management, Containerization, Git Flow, Kubernetes, Information Technology, Apache Kafka, Azure AKS, Data Management, Video Streaming, Terraform, Domain Driven Design, Software Version Control, Data Pipelines, Devsecops, Docker, Key Vault, Databricks - **Published:** June 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=261057ab4b84e0de ## About the Role Do you have experience in YAML?, * 5+ years of experience in cloud infrastructure, platform engineering, DevOps, or data platforms * Hands-on ownership of Azure and Databricks environments across multiple environments and regions * Experience in regulated, data-intensive environments with strong governance and compliance requirements * Proven experience supporting audits, security assessments, and remediation activities * Working knowledge of privacy and data protection frameworks (e.g., GDPR, data residency, retention policies), * Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience, * Cloud (Azure): App Services, Container Registry, Key Vault, PostgreSQL, Storage, networking (VNets, NSGs, private endpoints), Entra ID, RBAC * Infrastructure as Code: Terraform (modular design, environments, state management, providers) * Data Platform: Databricks, Unity Catalog, Spark pipelines, SQL warehouses, access governance * Programming: Python, SQL, Bash * DevOps: Azure DevOps pipelines, YAML, branching strategy, service connections, CI/CD best practices * Containers: Docker and container deployment patterns * Security & Compliance: Identity management, secrets handling, vulnerability remediation, audit readiness * Data Governance: Privacy-aware design, data classification, retention, residency compliance * Version Control: Git workflows and code review practices * Streaming Technologies: Kafka or similar, * Experience with Kubernetes / Azure Kubernetes Service (AKS) * Observability tools (Azure Monitor, Prometheus, OpenTelemetry, Log Analytics) * Experience with policy-as-code, IaC scanning, and security posture management tools * Familiarity with FinOps and Azure cost optimization practices * Knowledge of compliance frameworks (ISO 27001, SOC 2, TISAX, NIST, CIS) * Experience with enterprise-scale security and governance models Scope of the Role * Senior individual contributor role with strong technical ownership * No direct personnel management; provides technical leadership and mentorship * Operates across infrastructure, data platform, DevOps, and security domains * Critical role in enabling secure, scalable, and compliant ADAS data platforms * Works across global teams and multi-region cloud environments Work Style & Expectations * Strong ownership mindset and accountability for platform reliability * Ability to operate independently across complex environments * Structured and analytical approach to problem-solving and incident management * Clear and effective communication across technical and business stakeholders * Strong documentation skills for architecture, operations, and compliance * Collaborative mindset across engineering, security, and governance teams ## 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. The engineer will act as a key technical bridge across data engineering, backend, cybersecurity, privacy, and governance teams, ensuring the platform is secure-by-default, audit-ready, and aligned with data protection requirements 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 requirements into practical engineering solutions., * 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, * 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 DevOps Ownership & Delivery * Own Azure DevOps delivery processes end-to-end * Design and maintain multi-stage YAML pipelines, service connections, environments, approvals, and branch policies * Standardize release processes, deployment patterns, and code review practices * Containerize applications using Docker and manage image lifecycle via private registries * Improve deployment reliability, traceability, and recovery capabilities across environments Security, Compliance & Privacy * Design and operate secure-by-default platforms using least-privilege access, network isolation, and secure secret management * Own identity and access management across Azure, Databricks, and Azure DevOps (RBAC, Entra ID, managed identities) * Support security assessments, penetration testing, and audits by providing technical evidence and implementing remediation * Manage service principal lifecycle, credential rotation, and secret governance * Implement privacy-by-design principles including GDPR compliance, data minimization, retention, and residency requirements * Translate security and compliance findings into actionable system improvements (IaC, policies, logging, encryption, backup, recovery), * 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 * Contribute to architecture discussions and technical roadmaps * Mentor team members on Terraform, Azure, Databricks, and DevSecOps practices * Communicate technical risks and solutions clearly to both technical and non-technical stakeholders ## Related Videos - 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