Bot Auto

Technology

SeniorSoftwareEngineer,WorkflowPlatforms

$155–210k ~AI est. Houston, Texas, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, Workflow Platforms at Bot Auto. Skills: Workflow orchestration, Kubernetes, Platform engineering, DevOps. Architect workflow orchestration platforms. Deploy workflow orchestration platforms”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience, 5+ years of hands-on experience in platform engineering, infrastructure, DevOps, or SRE roles, Significant experience with workflow orchestration platforms such as Argo Workflows, Airflow, or comparable systems, Software development skills in one or more languages: Python, Go, Java, or JavaScript/TypeScript, Solid understanding of Kubernetes and distributed systems

Nice to Have

Expert-level experience operating Argo Workflows, Airflow, and/or other engines, Experience orchestrating ML training, simulation, or large-scale data and batch workloads, including GPU scheduling, In-depth Kubernetes experience (EKS, GKE, AKS, RKE2/Rancher) and cross-cluster orchestration, IaC tools proficiency, including Terraform, Pulumi, OpenTofu, or Ansible, Experience with data streaming and event platforms, including NATS JetStream, Kafka, Pulsar, or RabbitMQ, Familiarity with observability stacks: Prometheus, Grafana, Loki, OpenTelemetry, or comparable, Demonstrated ability to optimize workload cost and performance without compromising reliability

What You'll Do.

Architect workflow orchestration platforms

Deploy workflow orchestration platforms

Operate workflow orchestration platforms

Build internal platforms

Build self-service tooling

Operate workflow platforms at scale on Kubernetes

Handle GPU and heterogeneous resources

Handle cross-cluster orchestration

Ensure reliability of workloads

Ensure performance of workloads

Ensure cost efficiency of workloads

Partner with ML teams

Partner with simulation teams

Partner with data teams

Partner with infrastructure teams

Understand workload requirements

Deliver fit-for-purpose pipelines

Integrate workflow platforms with storage

Integrate workflow platforms with data streaming systems

Integrate workflow platforms with event systems

Integrate workflow platforms with artifact registries

Integrate workflow platforms with model registries

Integrate workflow platforms with CI/CD tooling

Establish best practices

Establish documentation for workflow authoring

Mentor engineers across the company

Handle user-impacting issues promptly

Mitigate issues in the short term

Follow up with durable long-term solutions

How You'll Work.

Team & Collaboration

Partner with ML teams; Partner with simulation teams; Partner with data teams; Partner with infrastructure teams

Communication Scope

Clear communication

Full Job Description

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 highly skilled and motivated Senior Software Engineer, Workflow Platforms to architect, build, and operate the workflow orchestration platforms that power Bot Auto's engineering and autonomy workloads. From simulation and machine learning training to data pipelines and CI/CD, our teams depend on reliable, scalable workflow systems to move fast. In this role, you will own one or a hybrid of orchestration platforms (such as Argo Workflows and Airflow), operate them at scale, and develop the internal platforms and abstractions built on top of them that make running complex workloads simple, observable, and cost-efficient. Key Responsibilities Architect, deploy, and operate workflow orchestration platforms (e.g., Argo Workflows, Airflow, or a hybrid) supporting simulation, machine learning and model training, data pipelines, CI/CD, and other general-purpose workloads. Build internal platforms, abstractions, SDKs, and self-service tooling on top of orchestration engines to make authoring, running, and monitoring workflows simple and reliable for engineers. Operate workflow platforms at scale on Kubernetes across cloud (AWS) and on-prem data center environments, handling scheduling, autoscaling, GPU and heterogeneous resources, and cross-cluster orchestration. Ensure reliability, performance, and cost efficiency of workloads through observability, queuing and prioritization, retries, and resource optimization. Partner with ML, simulation, data, and infrastructure teams to underst

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