DevOps Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a DevOps Engineer in Brazil.

This is a high-impact DevOps role focused on building and maintaining robust, scalable infrastructure for real-time, production-grade robotic systems. You will work within a distributed, international engineering team contributing to systems that demand high reliability, performance, and fault tolerance. The environment is highly technical, combining robotics, distributed systems, and cloud-native infrastructure. You will be responsible for enabling efficient build, deployment, and runtime operations across complex C++ and Python-based services. This role emphasizes strong systems thinking, deep Linux expertise, and hands-on infrastructure engineering. It is ideal for engineers who thrive in solving complex distributed challenges while working close to cutting-edge robotics applications.

Accountabilities:

Design, build, and maintain scalable infrastructure supporting real-time robotic systems and distributed applications in production environments.

• Develop and optimize DevOps pipelines for build, test, and deployment workflows across complex, polyglot codebases
• Work extensively with Kubernetes to deploy, manage, and scale containerized applications, including edge and robotics environments
• Build and maintain reliable CI/CD systems and improve automation across engineering workflows
• Leverage Bazel for large-scale build system management and optimization across multi-language repositories
• Ensure system reliability through monitoring, debugging, and performance tuning of distributed services
• Collaborate with cross-functional engineering teams to support integration of C++ and Python-based services
• Work on networked systems and distributed architectures with a focus on fault tolerance and scalability
• Contribute to infrastructure design decisions supporting production-grade robotics deployments

Requirements:

This role requires strong DevOps expertise combined with deep systems knowledge and experience working in complex distributed environments.

• 5+ years of experience in DevOps or Infrastructure Engineering roles
• Strong proficiency in Python with solid debugging and system design skills
• Hands-on experience with Kubernetes and containerized application deployment
• Strong knowledge of Linux systems, internals, and performance optimization
• Experience working with Bazel or other large-scale build systems in complex repositories
• Understanding of distributed systems, networking protocols, and fault-tolerant architectures
• Experience supporting CI/CD pipelines and automation at scale
• Ability to work across C++ and Python-based systems in production environments
• Strong communication skills and ability to collaborate across global engineering teams
• Proven ability to lead technical initiatives and drive engineering outcomes
• Bonus: experience with edge computing, robotics systems, or open-source infrastructure tools

Benefits:

• Competitive compensation package
• Fully remote work within LATAM region
• Opportunity to work on cutting-edge robotics and real-time systems
• Exposure to advanced distributed systems and infrastructure challenges
• Collaborative international engineering environment
• Strong technical ownership and impact on production systems
• Career growth in high-performance infrastructure and robotics engineering
• Work with modern tooling including Kubernetes, Bazel, and cloud-native technologies

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1