
Senior Software Engineer, Core Platforms
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, Core Platforms to architect, develop, and scale our next-generation internal platforms. In this role, you will design and implement the core building blocks that empower our engineering teams to move quickly and securely. The ideal candidate will excel at creating high-impact platform services and workflows that enhance productivity, reliability, and cost efficiency across the organization. As a hands-on technical leader, you will pioneer the best practices for distributed systems, Kubernetes extensibility, and infrastructure-as-code, enabling Bot Auto to continue delivering groundbreaking innovations in autonomous transportation.
Key Responsibilities
- Lead the design, development, and operation of Kubernetes-based platforms, tackling dynamic scheduling, cross-cluster orchestration, autoscaling, and custom platform tooling.
- Architect and maintain robust IaC solutions across bare-metal on-premise environments, cloud infrastructure, Kubernetes clusters, and application deployments.
- Build and manage core workflow platforms supporting data pipelines, simulation jobs, ML model pipelines, CI/CD and other general-purpose workflows.
- Deploy and operate self-hosted large language models and agentic workflows, enabling intelligent automated orchestration and decision-making flows.
- Develop and operate API gateways that facilitate secure, scalable, and reliable access to internal and external services.
- Design and support company-wide event-driven architecture for various protocols (including MQTT), with messaging and streaming platforms
- Architect and manage end-to-end observability solutions, covering metrics, tracing, and logging.
- Implement comprehensive tooling and policies to monitor infrastructure costs and drive optimization across cloud and on-prem systems.
Qualifications
Required
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of hands-on experience in platform engineering, DevOps or SRE roles
- Strong software development skills in one or more languages: Python, Go, Java, JavaScript/TypeScript
- Deep understanding of infrastructure automation, observability, platform scaling, and cost-efficiency strategies
Preferred
- In-depth experience with Kubernetes internals, including at least one of EKS, GKE, AKS, RKE2/Rancher
- Hands-on background with AWS, GCP, or Azure
- Expert in Argo Workflows, Airflow or similar workflow orchestration platform
- IaC tools proficiency, including Terraform, Pulumi, OpenTofu, or Ansible
- Prior experience deploying LLMs and building autonomous orchestration agents
- Experience with API Gateway platforms, including Kong or APISIX
- Experience with data streaming platforming, including NAT Jetstream, Kafka, Pulsar, RabbitMQ, etc.
- Familiarity with Prometheus, Grafana, Loki, OpenTelemetry, or comparable technology stacks
- Demonstrated ability to monitor and reduce cloud/infrastructure spend without compromising performance
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