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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Platform Engineer (AI & Analytics) - Hybrid - **Company:** Allianz - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $110,000.0 - $151,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Artificial Intelligence, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Transformation, DevOps, Github, Machine Learning, Systems Development Life Cycle, Release Management, Cloud Services, Software Engineering, Data Ingestion, System Availability, Delivery Pipeline, Apache Spark, Pyspark, Kubernetes, Infrastructure Automation Frameworks, Data Analytics, Performance Monitor, Azure AKS, Machine Learning Operations, Terraform, Data Pipelines, Azure Resource Manager, Databricks - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6e156b33a61bb6c4 ## About the Role Do you have experience in GitHub Actions?, * 6+ years of experience in a combination of Data Engineering, DevOps, and Cloud Engineering roles. * Experience deploying infrastructure as code. * Experience setting up and maintaining Kubernetes infrastructure for application development team * Experience working with Azure resources in the context of resource provisioning, configuration, networking, monitoring, and maintenance. * Experience working with Databricks (Lakehouse architecture, Spark, Unity Catalog, Delta tables). * Experience with MLOps, DevOps, and SDLC practices in a regulated enterprise environment. * Experience creating GitHub Actions Workflows for code promotion across environments. * Experience creating data ingestion and data transformation pipelines in Pyspark, preferably within Databricks. * You must be legally authorized to work in the U.S. without requiring immigration sponsorship now or in the future. This includes holders of H-1B, H4, L-1, L-2, TN, OPT, CPT, and other nonimmigrant visas. ## Description The Senior Platform Engineer will be a cross-disciplined, key role in driving Allianz Life's AI and Analytics capabilities on the Azure/Databricks platform. You'll leverage your hands-on data engineering, DevOps, and cloud expertise to build and maintain scalable cloud infrastructure and data pipelines that power advanced analytics and AI solutions. You'll have a hand in defining and execute the platform architecture with a focus on operational excellence, security, and performance. Collaboration will be key, as you partner with IT, data science, analytics engineering, and vendor teams to operate a robust platform that accelerates innovation and business value. Engineering Operations (60%) * Develop, deploy, and maintain platform components including data pipelines, DevOps pipelines, Kubernetes services, and various monitoring frameworks. * Create and maintain templated project repositories enabled and simplified for teams with custom CLI. * Ensure high availability, performance, and observability of platform services through proactive monitoring and incident response. * Create/manage Terraform and Databricks DAB Infrastructure as Code repositories as needed. Collaboration Governance (30%) * Partner with the internal team, IT, data science, and analytics engineering teams to support end-to-end solution delivery, including building and promoting data pipelines, provisioning infrastructure, and supporting DevOps pipelines and processes. * Provide support and guidance across the SDLC, including CI/CD, release management, and environment promotion. Innovation Enablement (10%) * Help evaluate emerging Azure and Databricks services and AI/ML capabilities to drive innovation and continuous improvement. * Contribute to platform governance, including data ethics, compliance, and security best practices. * Mentor technical teams and promote architectural standards and reusable patterns. * Utilization of artificial intelligence tools and resources (e.g. generative AI) ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Find a Developer Job: 12 Best Job Sites For Developers](https://www.wearedevelopers.com/magazine/165-find-a-developer-job-12-best-job-sites-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Best Job Search Websites of 2025](https://www.wearedevelopers.com/magazine/368-the-best-job-search-websites-of-2025)