Senior DevOps Engineer - Robotics & AWS Infrastructure
Crescens - Boston, Massachusetts, us, 02298
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Overview
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Overview
Short Description: I have an immediate need for a senior engineer with considerable experience in both DevOps and Software Engineering in C++ to work on an existing software team with a major Robotics client. The position is funded for at least six months and can be remote (though local preferred so as to go into the office occasionally,) and can go indefinitely if they like the developer. The developer can start immediately. Note that we have recommended several candidates for this position, and while many resumes have been promising, most candidates have been failing the tech screen due to their performance on the coding portion. Job description:
Design, implement, and maintain CI/CD pipelines using full AWS suite of tools Manage Docker-based development and deployment environments for a system that interfaces with robotics hardware. Troubleshoot build and deployment issues in a largely C++/Python codebase with a Microservice Architecture Collaborate closely with software engineers to understand a large complex codebase for a cutting edge robotics application Work independently, referencing large knowledge base of documentation and functioning code without needing significant hand-holding
Required Skills:
5+ years of experience in DevOps, System Engineering, or related roles Proficiency with Docker, AWS cloud tools, and CI/CD pipeline implementation and management with Typescript Good foundational software development skills: basic understanding of algorithms and CS theory, proficiency with at least one programming language (Python C++ or similar) Knowledge of robotic systems, IoT, or embedded software development, the client will want you to demonstrate ability to interface with hardware systems. Experience with infrastructure-as-code tools like Terraform or Ansible. Experience with runc Familiarity with microservice architecture and distributed systems. Previous work with Agile or Hybrid-Agile development methodologies. Experience in monitoring and alerting systems (e.g., Prometheus, Grafana, or AWS CloudWatch). Interest and aptitude in software engineering and development.