Glidance Inc.
DevOps Engineer - Cloud and ML Systems for Robotics
Glidance Inc., Seattle, Washington, us, 98127
Glidance, Inc. DevOps Engineer - Cloud and ML Systems for Robotics Seattle, WAContractor Company website Apply for DevOps Engineer - Cloud and ML Systems for Robotics
As the lead DevOps Engineer at Glidance, you will design and implement the cloud infrastructure and ML pipelines that power our intelligent robotics systems. Youll enable rapid development, deployment, and scaling of services that integrate perception, control, and AI into real-time robotic experiences. You will collaborate closely with robotics and AI engineers to build systems that are robust, scalable, and secure. Description
Company Overview
At Glidance, we are creating the future of personal robotics. While others dream of humanoids, we are building the future today, by harnessing cutting-edge robotics and AI to design personal robots that address actual human needs and transform their life experience. Our flagship product, Glide, is the worlds first Intelligent Guide for individuals who are blind or have low vision, representing a new category of personal robots to enable millions of people to get out of their homes and navigate more confidently, safely, and independently. If youre looking for a place where
groundbreaking technology meets real-world impact
, and where your work
defines a category rather than iterates upon it
, then Glidance is where you belong. This is not just your next job: it is your chance to make a life-changing impact on millions around the world. We dont wait for the future.
We build it. Reports to: Glidance
Chief technology Officer Location:
Seattle, WA Position Overview
As the lead
DevOps Engineer
at Glidance, you will design and implement the cloud infrastructure and ML pipelines that power our intelligent robotics systems. Youll enable rapid development, deployment, and scaling of services that integrate perception, control, and AI into real-time robotic experiences. You will collaborate closely with robotics and AI engineers to build systems that are robust, scalable, and secure. This is a hands-on technical role for someone who thrives in a
fast-moving startup environment
and is passionate about building world-class infrastructure for products with direct human impact. Design, build, and maintain AWS-based infrastructure to support our robotics and AI workloads. Develop CI/CD pipelines for software and firmware across robotics, cloud, and edge systems. Manage containerized deployments (Docker, Kubernetes) for AI inference, simulation, and backend services. Implement monitoring, logging, and alerting for mission-critical systems in development and production. Collaborate with robotics and AI teams to deploy and optimize ML models in production. Manage secrets, authentication, and security best practices in cloud environments. Help automate the testing and release process across hardware-in-the-loop and cloud systems. Qualifications
5+ years' experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles. Deep experience with AWS services: EC2, S3, ECS/EKS, IAM, CloudFormation/Terraform, etc. Strong experience with Docker and orchestration tools (e.g., Kubernetes, ECS). Experience deploying and maintaining machine learning pipelines (e.g., with SageMaker, MLflow, or custom). Solid programming/scripting in Python, Bash, or similar. Familiarity with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, or CircleCI. Passion for reliability, automation, observability, and scalable system design. (Bonus) Experience supporting ROS 2, simulation environments, or robotics-specific build pipelines. (Bonus) Experience working with edge devices and OTA update infrastructure. Why Join Glidance?
Be part of a mission-driven company improving real lives through real products. Work with a talented, passionate, and impact-focused team at the edge of robotics and AI. Play a foundational role in shaping the infrastructure of personal robotics. Competitive startup package with stock options #J-18808-Ljbffr
As the lead DevOps Engineer at Glidance, you will design and implement the cloud infrastructure and ML pipelines that power our intelligent robotics systems. Youll enable rapid development, deployment, and scaling of services that integrate perception, control, and AI into real-time robotic experiences. You will collaborate closely with robotics and AI engineers to build systems that are robust, scalable, and secure. Description
Company Overview
At Glidance, we are creating the future of personal robotics. While others dream of humanoids, we are building the future today, by harnessing cutting-edge robotics and AI to design personal robots that address actual human needs and transform their life experience. Our flagship product, Glide, is the worlds first Intelligent Guide for individuals who are blind or have low vision, representing a new category of personal robots to enable millions of people to get out of their homes and navigate more confidently, safely, and independently. If youre looking for a place where
groundbreaking technology meets real-world impact
, and where your work
defines a category rather than iterates upon it
, then Glidance is where you belong. This is not just your next job: it is your chance to make a life-changing impact on millions around the world. We dont wait for the future.
We build it. Reports to: Glidance
Chief technology Officer Location:
Seattle, WA Position Overview
As the lead
DevOps Engineer
at Glidance, you will design and implement the cloud infrastructure and ML pipelines that power our intelligent robotics systems. Youll enable rapid development, deployment, and scaling of services that integrate perception, control, and AI into real-time robotic experiences. You will collaborate closely with robotics and AI engineers to build systems that are robust, scalable, and secure. This is a hands-on technical role for someone who thrives in a
fast-moving startup environment
and is passionate about building world-class infrastructure for products with direct human impact. Design, build, and maintain AWS-based infrastructure to support our robotics and AI workloads. Develop CI/CD pipelines for software and firmware across robotics, cloud, and edge systems. Manage containerized deployments (Docker, Kubernetes) for AI inference, simulation, and backend services. Implement monitoring, logging, and alerting for mission-critical systems in development and production. Collaborate with robotics and AI teams to deploy and optimize ML models in production. Manage secrets, authentication, and security best practices in cloud environments. Help automate the testing and release process across hardware-in-the-loop and cloud systems. Qualifications
5+ years' experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles. Deep experience with AWS services: EC2, S3, ECS/EKS, IAM, CloudFormation/Terraform, etc. Strong experience with Docker and orchestration tools (e.g., Kubernetes, ECS). Experience deploying and maintaining machine learning pipelines (e.g., with SageMaker, MLflow, or custom). Solid programming/scripting in Python, Bash, or similar. Familiarity with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, or CircleCI. Passion for reliability, automation, observability, and scalable system design. (Bonus) Experience supporting ROS 2, simulation environments, or robotics-specific build pipelines. (Bonus) Experience working with edge devices and OTA update infrastructure. Why Join Glidance?
Be part of a mission-driven company improving real lives through real products. Work with a talented, passionate, and impact-focused team at the edge of robotics and AI. Play a foundational role in shaping the infrastructure of personal robotics. Competitive startup package with stock options #J-18808-Ljbffr