Cloud Platform Engineer

What You Will Do

• Design and maintain cloud infrastructure on AWS using Terraform, CDKTF, and/or AWS CDK, with a focus on reliability, scalability, and cost efficiency across multi-environment deployments.
• Write production-quality platform tooling and services in C#, Node.js, and/or TypeScript. This is a hands-on coding role, not just infrastructure configuration.
• Architect and operate container orchestration platforms, including Kubernetes and ECS/EKS, for microservice and distributed systems workloads that support autonomous vehicle data pipelines.
• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and/or Azure DevOps, including automated testing and deployment gates.
• Implement observability and monitoring using DataDog, Splunk, CloudWatch, or similar tools to ensure rapid detection and resolution of issues across distributed systems. • Design and integrate data ingestion and messaging infrastructure, including Kafka, Kinesis, and pub/sub patterns, for high-volume IoT and telemetry workloads.
• Improve the developer experience by streamlining local development workflows, environment provisioning, and deployment feedback loops. • Mentor engineers on cloud-native architecture, DevOps practices, and infrastructure best practices.

What We Are Looking For

• 6 to 8 years of experience in cloud infrastructure, platform engineering, or DevOps, combined with strong software development skills.
• Proficiency in C#, Node.js, and/or TypeScript with the ability to write real production code, not just glue scripts.
• Deep AWS experience preferred. Azure or GCP backgrounds are acceptable, but AWS is the primary platform.
• Strong Terraform or broader infrastructure-as-code expertise, with the ability to design and maintain complex, multi-environment infrastructure codebases.
• Strong Linux background across environments such as Ubuntu, Amazon Linux, RHEL, and Alpine.
• Hands-on container experience with Docker, Kubernetes, and ECS/EKS, including building, deploying, and troubleshooting containerized workloads in production.

Nice to Have

• Experience with IoT platforms, edge computing, or autonomous systems.
• Background in real-time data pipelines and stream processing, including Kafka, KSQL, and Kinesis.
• Experience building internal developer platforms or platform-as-a-service toolchains.
• Familiarity with distributed systems patterns such as event-driven architectures, pub/sub messaging, and active/active multi-region deployments.
• Exposure to relational and NoSQL databases including PostgreSQL, DynamoDB, MongoDB, Redis, and Elasticsearch.
• AWS certifications such as Solutions Architect or DevOps Engineer