At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
We are seeking a highly skilled and motivated Senior Software Engineer, Infrastructure to architect, develop, and scale our next-generation infrastructure. In this role, you will design and implement the core building blocks that empower our engineering teams to move quickly and securely. The ideal candidate will excel at creating high-impact infrastructure services and workflows that enhance productivity, reliability, and cost efficiency across the organization. As a hands-on technical leader, you will pioneer the best practices for distributed systems, Kubernetes extensibility, and infrastructure-as-code, enabling Bot Auto to continue delivering groundbreaking innovations in autonomous transportation.
Key Responsibilities- Establish the core infrastructure across public cloud and on-prem data center, with highly available compute, storage and networking resources to satisfy versatile workload needs.
- Architect and maintain robust IaC solutions across bare-metal on-premise environments, cloud infrastructure, Kubernetes clusters, and application deployments.
- Lead the design, development, and operation of Kubernetes-based platforms, tackling dynamic scheduling, cross-cluster orchestration, autoscaling, and custom platform tooling.
- Handle user impact issues in a timely manner with proper communications. Mitigate issues in the short term, and follow up with long term solutions.
- Build and manage core workflow platforms supporting data pipelines, simulation jobs, ML model pipelines, CI/CD and other general-purpose workflows.
- Develop and operate API gateways that facilitate secure, scalable, and reliable access to internal and external services.
- Design and support company-wide event-driven architecture for various protocols, with messaging and streaming platforms
- Architect and manage end-to-end observability solutions, covering metrics, tracing, and logging.
- Implement comprehensive tooling and policies to monitor infrastructure costs and drive optimization across cloud and on-prem systems.
Required
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of hands-on experience in infrastructure, platform engineering, DevOps or SRE roles
- Deep understanding of operating systems, storage and network architectures.
- Strong software development skills in one or more languages: Python, Go, Java, JavaScript/TypeScript
- Expertise in infrastructure automation, observability, platform scaling, and cost-efficiency strategies
Preferred
- In-depth experience with Kubernetes internals, including at least one of EKS, GKE, AKS, RKE2/Rancher
- Hands-on background with AWS, GCP, or Azure
- IaC tools proficiency, including Terraform, Pulumi, OpenTofu, or Ansible
- Experience with API Gateway platforms, including Kong or APISIX
- Familiarity with Prometheus, Grafana, Loki, OpenTelemetry, or comparable technology stacks
- Demonstrated ability to monitor and reduce cloud/infrastructure spend without compromising performance
- Experience with data streaming platforming, including NAT Jetstream, Kafka, Pulsar, RabbitMQ, etc.
Top Skills
What We Do
We are an L4 autonomous trucking company, based in Houston, Texas. We operate our autonomous truck fleet and offer Transportation as a Service (TaaS) to our freight customers.
Our team combines visionary leadership, top-tier science and engineering talents, financial and governance experts, and industry veterans to build an AI-driven autonomous trucking company. We focus on fleet operations, transforming autonomous trucking into a commercially profitable product. This blend of experience, industry maturity, and innovative technology positions us to commercialize autonomous trucking at scale.
