Software Engineer, Core Platforms

Bot-Auto; Ann Arbor (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

Bot Auto is building cutting-edge autonomous transportation platforms. We seek a curious Software Engineer, Core Platforms, to develop platform services, automation, and tooling that boost engineer speed, reliability, and cost-efficiency.

You will ship production code early, receive regular mentorship, and gain experience with Kubernetes, infrastructure-as-code, and distributed systems while supporting autonomous transportation innovations.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 0-2 years in software engineering, platform engineering, DevOps, or SRE.
• Experience with Linux, networking fundamentals, Git, and containers (Docker).
• Willingness to learn and own tasks from start to finish.

Responsibilities

• Develop and operate Kubernetes-based platforms, including features for scheduling, autoscaling, and tooling.
• Write infrastructure-as-code (Terraform/Ansible) for on‑prem, cloud, and Kubernetes environments.
• Support data pipelines, simulation jobs, ML pipelines, and CI/CD workflows.

Skills

Eagerness to learn

Ownership of tasks

Education

Bachelor's degree or equivalent

Tools

Docker

Git

Kubernetes

Job description

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 curious and motivated Software Engineer, Core Platforms to help build and run the internal platforms our engineering teams rely on every day. Working alongside senior platform engineers, you will develop platform services, automation, and tooling that make our engineers faster, our systems more reliable, and our infrastructure more cost-efficient. This is a hands-on role built for growth: you will ship production code early, get regular mentorship and code review, and build deep experience in Kubernetes, infrastructure-as-code, and distributed systems while supporting groundbreaking work in autonomous transportation.

Key Responsibilities

• Contribute to the development and operation of our Kubernetes-based platforms, including features for scheduling, autoscaling, and internal platform tooling.
• Write and maintain infrastructure-as-code (e.g., Terraform, Ansible) for on-prem, cloud, and Kubernetes environments, following team standards and reviews.
• Help build and support workflow platforms that run data pipelines, simulation jobs, ML pipelines, and CI/CD.
• Assist in deploying and operating self-hosted LLMs and agentic workflows used for internal automation.
• Support the operation of API gateways and messaging/streaming systems (including MQTT), handling configuration, upgrades, and troubleshooting.
• Build dashboards, alerts, and logging integrations that improve visibility into platform health.
• Help track infrastructure costs and implement optimizations identified with senior engineers.
• Participate in on-call rotations, incident response, and post-incident reviews, with support from experienced teammates.
• Write clear documentation and runbooks, and help internal users adopt platform services.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 0-2 years of experience in software engineering, platform engineering, DevOps, or SRE (internships, co-ops, and substantial personal or open-source projects count)
• Working knowledge of Linux, networking fundamentals, Git, and containers (Docker)
• Eagerness to learn, take feedback, and own tasks from start to finish

Preferred Qualifications

• Hands-on exposure to Kubernetes (EKS, GKE, AKS, RKE2/Rancher, or a local setup like kind/minikube)
• Experience with AWS, GCP, or Azure, from coursework, projects, or work
• Familiarity with an IaC tool such as Terraform, Pulumi, OpenTofu, or Ansible
• Exposure to workflow orchestration tools such as Argo Workflows or Airflow
• Interest or project experience in running LLMs or building agent-based automation
• Familiarity with messaging/streaming systems (NATS JetStream, Kafka, Pulsar, RabbitMQ) or API gateways (Kong, APISIX)
• Experience using Prometheus, Grafana, Loki, OpenTelemetry, or similar observability tools
• Interest in cost-aware engineering and infrastructure efficiency

As set forth in Bot Auto's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.