About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
DevOps and Systems Team
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 CLIAble 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, HTTP, SSL / TLS, Storage systems, RAID, distributed file systems, NFS / iSCSI / CIFS
Who We Are
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.
What We Do
Hive is a deep learning company solving visual intelligence challenges through three main pillars of the business: Hive Data, Hive Predict, and Hive Media. Hive Data is the world’s largest two-sided marketplace for machine learning data labeling. We have over 800,000 distributed workers helping research labs and enterprise clients generate high quality truth data sets in fields like autonomous driving and robotics. Hive Predict is our set of proprietary visual intelligence models that solve problems like the identification of celebrities and logos. We sell these APIs to companies looking to incorporate our models into their own workflows. Our flagship product is Hive Media, through which we are selling the world’s largest television analytics dataset. We are funded by leading investors like Peter Thiel (Founders Fund), General Catalyst, and 8VC. We have ~100 people globally, based in our San Francisco and Delhi offices.
