Senior DevOps Engineer, Blue River Technology

• You must show initiative and the ability to organize your work schedule and be comfortable with supporting the application needs of multiple teams, systems, and products
• 5+ years of experience building infrastructure with K8S, AWS and bare metal
• 5+ years of experience working with Python and Go (with production experience)
• 5+ years of experience working with infra automation tools: Terraform / Ansible / Pulumi / CDK
• 5+ experience with Linux-based systems and networks
• Track record of building scalable systems in production environments
• Know-how to use git and/or other versioning systems and build automations for CI/CD
• Strong problem-solving skills and ability to troubleshoot complex infrastructure and networking issues
• Excellent communication skills to collaborate effectively with technical and non-technical stakeholders
• Attention to detail and commitment to producing high-quality, well-documented code

Desirable

• We are looking for a senior DevOps Engineer to join the CVML Platform team at Blue River Technology. You will work to create a hybrid infrastructure, integrating edge devices, on-premises, and cloud resources into a cohesive CVML and robotics foundation
• You will work on the cost-effectiveness, transparency, and security aspects of the platform, focusing on the speed and quality of solutions and services provided
• You will work with your peers and stakeholders from other teams to bring alignment on platform vision and technologies
• System Design: architect and build various cloud and on-premise applications, systems and infrastructure
• Hybrid system integration: integrate extremely diverse systems and configure stable integration, uptime, and monitoring
• Edge device integration: work with edge devices of various formats and integrate them with on-prem and cloud workflows, including networking, low-level OS, and electrical/control integration
• Low-level performance optimization: optimize the system's performance and throughput on the filesystem, networking, and software levels
• High-level optimization of cost and stability: optimize the cost, operational stability, and supportability of highly diverse platforms and tech stacks
• Product Mindset: collaborate with cross-functional teams to design, develop, and maintain robust, scalable, and user-friendly web and mobile data-intensive applications
• System Integration: build tools that enable users to easily move between different applications and platforms to utilize the strengths of each in a coherent ecosystem
• Collaboration: work closely with cross-functional teams, including Data scientists, analysts, software engineers, and product managers, to understand data requirements and deliver data solutions that align with business goals
• Documentation: create and maintain technical documentation, including data flow diagrams, architecture designs, and standard operating procedures
• Technology Evaluation: stay up-to-date with industry trends and emerging technologies related to data engineering, recommending and implementing new tools and frameworks as appropriate