Senior Site Reliability Engineer

DevOps And Systems Team Position

Our unique machine learning needs led us to open our own data centers, with an emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can't be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.

Responsibilities

• Automate manual operational processes
• Improve workflows of developer, data, and machine learning teams
• Manage secure integration and deployment tooling
• Create, maintain, monitor, and audit secure infrastructure
• Manage a diverse array of technology platforms, following best practices and procedures
• Participate in on-call rotation and root cause analysis
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

• Minimum 3 - 5 years of previous experience in development, operations, IT, or a related field
• Comfortable working on Linux infrastructures (Debian) via the CLI
• Able to learn quickly in a fast-paced environment
• Able to debug, optimize, and automate routine tasks
• Able to multitask, prioritize, and manage time efficiently independently
• Able to physically lift equipment at least 30 pounds
• Can communicate effectively across teams and management levels
• Degree in computer science, or similar, is an added plus!

Technology Stack

• Operating Systems - Linux/Debian Family/Ubuntu
• Configuration Management - Chef
• Containerization - Docker
• Container Orchestrators - Mesosphere/Kubernetes
• Scripting Languages - Python/Ruby/Node/Bash
• CI/CD Tools - Jenkins
• Network hardware - Arista/Cisco/Fortinet
• Hardware - HP/SuperMicro
• Storage - Ceph, S3
• Database - Scylla, Postgres, Pivotal GreenPlum
• Message Brokers: RabbitMQ
• Logging/Search - ELK Stack
• AWS: VPC/EC2/IAM/S3
• Networking: TCP / IP, ICMP, SSH, DNS, SSL / TLS, Storage systems, RAID, distributed file systems, NFS / iSCSI / CIFS

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.