Senior Software Engineer - Developer Platform

Bot Auto

On-sitePosted July 29, 2026

About the role

Senior Software Engineer, Developer Platform Bot Auto is seeking a Senior Software Engineer to architect, build, and operate the workflow orchestration platforms that power our engineering and autonomy workloads. You will own one or more orchestration platforms (such as Argo Workflows and Airflow), operate them at scale, and develop internal platforms and abstractions that make running complex workloads simple, observable, and cost-efficient.

Senior Software Engineer - Developer Platform

Bot Auto

On-sitePosted July 29, 2026

About the role

Senior Software Engineer, Developer Platform Bot Auto is seeking a Senior Software Engineer to architect, build, and operate the workflow orchestration platforms that power our engineering and autonomy workloads. You will own one or more orchestration platforms (such as Argo Workflows and Airflow), operate them at scale, and develop internal platforms and abstractions that make running complex workloads simple, observable, and cost-efficient.

Responsibilities

Architect, deploy, and operate workflow orchestration platforms (e.g., Argo Workflows, Airflow, or a hybrid) supporting simulation, machine learning 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 understand workload requirements and deliver fit-for-purpose pipelines.
Integrate workflow platforms with storage, data streaming and event systems, artifact and model registries, and CI/CD tooling.
Establish

Responsibilities

Architect, deploy, and operate workflow orchestration platforms (e.g., Argo Workflows, Airflow, or a hybrid) supporting simulation, machine learning 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 understand workload requirements and deliver fit-for-purpose pipelines.
Integrate workflow platforms with storage, data streaming and event systems, artifact and model registries, and CI/CD tooling.
Establish

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