Senior DevOps Engineer

Gauss Robotics

Senior DevOps Engineer managing critical cloud infrastructure at Gauss Robotics. Responsible for Kubernetes, AWS, and improving scalability and reliability of robotic systems.

Posted 7/14/2026full-timeBraunschweig • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud infrastructure design and management, particularly on AWS, with a strong focus on Kubernetes, automation, and observability. Capable of making impactful architectural decisions while ensuring security and scalability in networking and operations.

Highest-signal resume keywords

AWS Cloud ArchitectureKubernetes ManagementInfrastructure-as-Code (IaC)TypeScript and Python DevelopmentNetworking Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Infrastructure DesignKubernetesInfrastructure-as-CodeTypeScriptPythonGitOps WorkflowsObservability ToolsAutomationTroubleshootingSecurity Practices

Soft Skills

Problem-SolvingCollaborationBias Toward Automation

Tools & Technologies

AWS EKSPulumiGitHubArgoCDPrometheusGrafanaTailscaleIstio

Industry Keywords

RoboticsCloud InfrastructureObservabilityAutomationNetworking Security

Tech Stack

Tools & technologies

AWSCloudGrafanaKubernetesLinuxPrometheusPythonTypeScript

About the role

Key responsibilities & impact

Help our platform scale as customer adoption grows.
Improve the reliability and scalability of our robotics cloud & edge infrastructure.
Raise engineering standards around observability, security, and operations.
Eliminate operational bottlenecks through automation and better architecture.
Influence major technical decisions across our tech stack.
Design, build, and evolve our cloud infrastructure on AWS.
Own our Kubernetes platform running on AWS EKS.
Design networking architectures that are secure, scalable, and operationally simple using Tailscale, Kubernetes, Istio.
Build and maintain Infrastructure-as-Code using Pulumi and TypeScript.
Develop and improve GitOps workflows using GitHub and ArgoCD.
Build IaC, tooling, and automation in TypeScript and Python.
Improve observability using Prometheus, Grafana, and modern monitoring practices.
Troubleshoot and resolve complex production incidents across cloud infrastructure, Kubernetes, networking, applications, and robotics systems running on Linux.
Make architecture decisions that influence the future direction of our platform.
Work directly with software engineers, robotics engineers, and leadership to scale the business.

Requirements

What you’ll need

Sound practical experience with the aforementioned tech stack
Extensive hands-on Kubernetes experience in production environments.
Strong cloud architecture experience on AWS.
Deep understanding of networking fundamentals.
Practical experience with cloud networking and security.
Good software engineering skills.
Experience writing production code in TypeScript and Python.
Experience making architectural decisions and understanding their long-term consequences.
A strong bias toward automation and simplification.
Most importantly, you are someone who follows problems all the way to their root cause. You do not stop when a workaround has been found. You keep digging until the underlying issue is understood and permanently fixed.

Benefits

Comp & perks

Real Ownership & Impact – You will have significant ownership, direct influence on technical strategy, and the ability to shape the platform that powers the next generation of AI-enabled turnkey robotics solutions.
Continuous Learning – Access to professional learning platforms and technical courses
Choose Your Setup – Select your preferred device and operating system
Flexible Work Model – Flexible working hours and hybrid work options
Mobility Support – Jobrad/bike leasing or public transportation benefits
Health & Wellbeing – Flexible gym membership or capital-building benefits; fresh fruit and soft drinks in the office