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Software Engineer, Core Platforms

Bot Auto

About Bot Auto

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.

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.

Requirements

  • 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)
  • Solid programming skills in at least one of: Python, Go, Java, JavaScript/TypeScript
  • Working knowledge of Linux, networking fundamentals, Git, and containers (Docker)
  • Eagerness to learn, take feedback, and own tasks from start to finish

Preferred

  • 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