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As a Senior DevOps Engineer, you will design, implement, and maintain the core infrastructure that powers our robotics platforms. You will work closely with robotics engineers, software developers, and IT specialists to ensure that our systems are reliable, scalable, and optimized for a high-performance, fast-paced environment. This role requires a blend of technical expertise in cloud technologies, container orchestration, networking, and programming within a robotics ecosystem. Responsibilities: CI/CD Pipelines: Create and maintain CI/CD pipelines to ensure efficient and reliable code delivery across all environments. Kubernetes: Maintain Kubernetes clusters for managing robotic applications and services. Be comfortable deploying applications in Kubernetes. ROS (Robot Operating System): Collaborate with robotics engineers to manage and deploy systems in a Robot Operating System (ROS) environment. Containerization: Develop and manage containerized applications using Docker and ensure seamless deployment and scaling within Kubernetes environments. Cloud Infrastructure: Build scalable, secure, and cost-effective infrastructure on cloud platforms (AWS, Azure, or GCP). Infrastructure as Code (IaC): Develop and manage IaC scripts (e.g., Terraform, CloudFormation, or Ansible) for automating deployments and infrastructure provisioning. Monitoring and Reliability: Implement monitoring, logging, and alerting solutions to maintain high system reliability and performance. Object-Oriented Programming (OOP): Use strong OOP principles to develop and maintain custom DevOps tools and solutions as needed. Collaboration in a High-Pace Environment: Work closely with multidisciplinary teams to ensure smooth integration of DevOps practices in a fast-moving robotics ecosystem. Skills and Requirements: B.S. degree (or equivalent) in Computer Science or related field. 5+ years of professional experience in DevOps or Site Reliability Engineering. Expertise with ROS (Robot Operating System) and robotic application deployment. Proficiency in Kubernetes (deployment, scaling, monitoring). Proficiency with containerization technologies like Docker and integrating them with Kubernetes. Proficiency in networking in Linux and cloud environments. Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Proficiency in Infrastructure as Code tools (Terraform, CloudFormation, or Ansible). Proven experience creating and managing CI/CD pipelines (e.g., Bitbucket, GitLab CI, or GitHub Actions). Strong programming skills with a focus on object-oriented programming (C++, Python). Ability to work effectively in a fast-paced, dynamic environment with shifting priorities. Perks: Competitive salary w/ benefits Highly motivating equity incentive package Flexible work hours policy Professional development opportunities Unlimited Paid Time Off (PTO) 401k plan

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