Senior Cloud Platform Architect

Overview

Your Job We are seeking a Senior Cloud Platform Architect to define the vision and lead the design and delivery of scalable, secure, and modern cloud-native solutions. This role blends strategic architecture leadership with hands-on engineering to enable software development on the KBX Platform across multiple product teams. The ideal candidate will be fluent in AWS services, cloud-native patterns, and GenAI experimentation, with the ability to mentor cloud engineers and contribute directly to infrastructure and code.

Our Team The Platform Architecture team designs and governs the foundational cloud and software platform that powers our logistics applications, enabling development teams to build, deploy, and scale solutions with speed, security, and confidence. We bridge business strategy and technical execution by creating composable, reusable, and well-architected capabilities that accelerate delivery and reduce complexity. Our team thrives on collaboration, architectural discipline, and a spirit of principled entrepreneurship helping to drive innovation, accountability, and continuous improvement.

• Define target-state architectures using AWS-native services (e.g., MSK, RDS, S3, Lambda, ECS, EKS).
• Establish reusable patterns, guardrails, and reference architectures for microservices, containers, serverless, and event-driven systems.
• Collaborate with product, security, and engineering leaders to shape cloud and AI adoption roadmaps.
• Translate business needs into scalable technical solutions within AWS and hybrid environments.
• Build infrastructure using IaC tools (Terraform, Cloud Formation, CDK).
• Develop and optimize containerized workloads on EKS and serverless functions.
• Implement CI/CD pipelines and Git Ops workflows using tools like Git Hub Actions and ArgoCD.
• Deploy observability stacks (e.g., Datadog, Cloud Watch, Open Telemetry) with a focus on optimizing performance and cost.
• Design secure integrations with GenAI services (e.g., AWS Bedrock, Lang Chain, vector databases).
• Automate development and operations using AI-powered tools (e.g., anomaly detection, code generation).
• Apply responsible AI practices around governance, compliance, and model evaluation.
• Mentor engineers and promote adoption of cloud-native and AI-driven practices.
• Lead design reviews, threat modeling, and code reviews.
• Partner with security teams to embed IAM, encryption, and data privacy best practices.
• Align cross-functional teams on cloud capabilities, delivery pipelines, and architectural decisions.
• Serve as a Cloud Champion and representative on the Cloud and Identity Customer Advisory Councils, influencing service roadmaps, assessing impacts of new capabilities, and ensuring alignment, communication, and coordination across KBX and other Koch companies.

• Experience designing and deploying cloud platforms in an enterprise environment
• Experience leveraging AWS services and cloud-native designs
• Experience architecting Kubernetes (EKS), containers, and serverless architectures
• Experience using IaC tools (Terraform, Cloud Formation) and automation frameworks
• Experience using GenAI tools and frameworks (e.g., Lang Chain, RAG, Bedrock)
• Experience with CI/CD and observability in cloud environments
• Experience leading architecture discussions and executing technical solutions to support business stakeholders

• Experience with service mesh (e.g., Istio), event streaming (e.g., Kafka, Kinesis), and data pipelines
• Experience modernizing legacy systems into cloud-native and AI-augmented platforms
• Experience with responsible AI governance (e.g., bias, fairness, explainability)
• AWS Solutions Architect Professional certification

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location.

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