Job requirements
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Software Engineer, Core Platforms
develop platform services, automation, and tooling that make our engineers faster
Quoted from version 1 of the description (first seen Oct 25, 2026), the text in the Job description tab.
Open to people early in their career. Basis: entry level, at most one year.
0–2 years of experience in software engineering, platform engineering, DevOps, or SRE (internships, co-ops, and substantial personal or open-source projects count)
Quoted from version 1 of the description (first seen Oct 25, 2026), the text in the Job description tab.
All of these are required. Python, Go, Java, JavaScript/TypeScript: any one of these is enough.
Working knowledge of Linux, networking fundamentals, Git, and containers (Docker)
Solid programming skills in at least one of: Python, Go, Java, JavaScript/TypeScript
Quoted from version 1 of the description (first seen Oct 25, 2026), the text in the Job description tab.
Preferred, not mandatory. AWS, GCP, or Azure: any one of these is enough. Terraform, Pulumi, OpenTofu, or Ansible: any one of these is enough. Argo Workflows or Airflow: any one of these is enough. Prometheus, Grafana, Loki, OpenTelemetry, or similar observability tools: any one of these is enough.
Hands-on exposure to Kubernetes (EKS, GKE, AKS, RKE2/Rancher, or a local setup like kind/minikube)
Familiarity with messaging/streaming systems (NATS JetStream, Kafka, Pulsar, RabbitMQ) or API gateways (Kong, APISIX)
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
Experience using Prometheus, Grafana, Loki, OpenTelemetry, or similar observability tools
Quoted from version 1 of the description (first seen Oct 25, 2026), the text in the Job description tab.
Either path is accepted.
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)
Quoted from version 1 of the description (first seen Oct 25, 2026), the text in the Job description tab.
No explicit sponsorship policy found.
None of these is mentioned.
Location: Houston, TX
Other locations: Houston, Texas, United States
Quoted from version 1 of the description (first seen Oct 25, 2026), the text in the Job description tab.
Extracted by AI from the current description; every quote was checked against that text. The structure can still be wrong, so the description is the reference.
Job description
Text as published through the employer's Greenhouse job board API. Original listing ↗
Company Introduction
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)
- 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 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