Senior Software Engineer: Workflow Orchestration at Scale

Bot Auto

Georgia

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Bot Auto in United States, Georgia is seeking a Senior Software Engineer to architect, build, and operate workflow orchestration platforms powering simulation, ML training, data pipelines, and CI/CD. You will run platforms at scale on Kubernetes across AWS and on-prem environments, ensuring reliability, performance, and cost efficiency while collaborating with ML, data, and infrastructure teams.

The role also involves building internal SDKs, templates, and observability to simplify workload

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a 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
  • Strong software development skills in one or more languages: Python, Go, Java, or JavaScript/TypeScript
  • Solid understanding of Kubernetes and distributed systems

Responsibilities

  • Architect, deploy, and operate workflow orchestration platforms (e.g., Argo Workflows, Airflow) 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 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 best practices, templates, and documentation for workflow authoring and operations; mentor engineers across the company
  • Handle user-impacting issues promptly with clear communication — mitigate in the short term and follow up with durable long-term solutions

Skills

Python
Go
Java
JavaScript/TypeScript
Kubernetes
Distributed systems
CI/CD

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Argo Workflows
Airflow
Kubernetes
Terraform
Pulumi
OpenTofu
Ansible

Job description

Bot Auto in United States, Georgia is seeking a Senior Software Engineer to architect, build, and operate workflow orchestration platforms powering simulation, ML training, data pipelines, and CI/CD. You will run platforms at scale on Kubernetes across AWS and on-prem environments, ensuring reliability, performance, and cost efficiency while collaborating with ML, data, and infrastructure teams.

The role also involves building internal SDKs, templates, and observability to simplify workload

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