We are looking for a Platform Engineer to advance the reliability, security, and scalability of our engineering platform in Kalamazoo, Michigan. This position focuses on building a consistent developer experience by strengthening automation, deployment practices, infrastructure standards, and operational visibility. The ideal candidate will shape platform capabilities with a product mindset, enabling internal teams to deliver software more safely and efficiently while supporting enterprise growth and modern AI-enabled services.<br><br>Responsibilities:<br>• Define and evolve a platform strategy that improves consistency, resilience, and ease of use for internal engineering teams.<br>• Build and maintain CI/CD frameworks that support dependable delivery, stronger release controls, and reduced operational risk.<br>• Create and manage infrastructure as code solutions, including reusable Terraform components that promote standardization across environments.<br>• Embed security into platform workflows through automated guardrails such as secrets management, policy enforcement, encryption controls, and secure configuration practices.<br>• Develop release automation and progressive delivery approaches that improve deployment safety and accelerate recovery when issues arise.<br>• Establish observability capabilities across distributed services to enhance monitoring, troubleshooting, and service performance insights.<br>• Partner with engineering leaders, developers, and external vendors to implement platform standards and communicate technical tradeoffs clearly.<br>• Improve cloud operations by strengthening identity and access controls, governance practices, and runtime visibility across AWS-based environments.
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.