Senior Cloud Platform Engineer

We build large-scale industrial and IoT software systems that ingest, process, and analyze data from hundreds of thousands of connected devices. Our platform supports high-volume telemetry ingestion, real-time processing, cloud APIs, web applications, and AI-assisted diagnostics across globally distributed infrastructure.

Location: Based in the United States - Cincinnati, OH or Huntsville, AL preferred
Job Type: Remote
Travel: Minimal travel required
Work Authorization: Must be authorized to work in the U.S. (sponsorship not available at this time)
Exemption Status: Exempt

About the role

This is a senior technical leadership role for someone who has built and operated production cloud systems at scale and understands the tradeoffs involved in reliability, cost, security, and developer velocity. You will take ownership of our cloud infrastructure and platform architecture, designing, scaling, securing, and operating critical AWS-based systems that power our products and internal engineering operations.

Responsibilities

• Design, implement, and maintain scalable cloud infrastructure primarily in AWS
• Architect and operate highly reliable APIs, web services, and data ingestion pipelines
• Lead infrastructure standardization using Infrastructure as Code (Terraform and related tooling)
• Design and optimize event-driven and queue-based systems for high-volume telemetry and distributed processing workloads
• Develop scalable and secure serverless and containerized architectures where appropriate
• Establish infrastructure best practices for:
  • reliability
  • observability
  • disaster recovery
  • security
  • cost optimization
  • deployment automation
• Support compliance initiatives including SOC2 and GDPR requirements
• Design and maintain secure networking architectures, IAM strategies, and secrets management practices
• Collaborate with firmware, backend, AI, and product engineering teams to support platform scalability and operational excellence
• Evaluate and recommend appropriate database technologies based on workload requirements and tradeoffs
• Improve CI/CD pipelines and engineering workflows
• Participate in operational troubleshooting and incident response for production systems
• Carry out additional responsibilities as needed to support business objectives

Requirements

• 10+ years of professional software and infrastructure engineering experience
• Deep hands-on AWS experience operating production systems at scale
• Strong experience designing and maintaining cloud-native infrastructure
• Significant experience with Infrastructure as Code using Terraform
• Strong understanding of distributed systems, asynchronous processing, and event-driven architectures
• Experience building and operating data ingestion pipelines using queues, streams, and serverless services
• Strong understanding of networking, security, IAM, DNS, TLS, and API architecture
• Experience supporting SOC2-compliant environments and familiarity with GDPR requirements
• Experience operating and troubleshooting production APIs and web applications
• Strong understanding of database technologies and architectural tradeoffs including:
  • relational databases
  • time-series databases
  • object storage systems
  • caching systems
• Strong understanding of monitoring, logging, observability, and operational tooling
• Experience designing resilient and fault-tolerant systems
• Excellent communication and technical leadership skills

Preferred Qualifications

• Experience with Azure infrastructure and services
• Experience with high-scale IoT or telemetry platforms
• Experience with Kubernetes and container orchestration
• Experience with streaming and messaging technologies such as SQS, Kafka, Kinesis, RabbitMQ, or MQTT
• Experience with PostgreSQL, MySQL, DynamoDB, Redis, TimescaleDB, or similar systems
• Familiarity with edge computing or hybrid cloud architectures

What Success Looks Like

• Infrastructure is scalable, secure, observable, and reproducible
• Engineering teams can deploy confidently and efficiently
• Data pipelines are reliable and resilient under high load
• Cloud costs are well understood and optimized
• Security and compliance requirements are built into systems from the beginning rather than retrofitted later during collective panic
• Operational issues are identified proactively before customers notice them

Technologies We Use

• AWS
• Terraform
• Serverless architectures
• SQS / MQTT / event-driven systems
• PostgreSQL / MySQL / time-series databases
• Docker
• CI/CD pipelines
• Observability and logging platforms

Culture Fit Requirements

• High intellect and strong analytical skills
• Innovative and driven to constantly improve
• Non-bureaucratic, flexible, and able to thrive in a fast-moving environment
• Positive energy and attitude towards people and problem-solving
• Demonstrates a balance of humility, strong work ethic, and interpersonal savvy ("Humble, Hungry, and Smart") in approach to teamwork and problem-solving
• A genuine human
• Demonstrates a "Can Do" mentality

Benefits

We offer an attractive base salary with a strong history of profit sharing. As we continue to grow, there will be many opportunities for professional advancement and development.