Role : DevOps Engineer, Gurgaon

About Hive :

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the worlds largest, fastest growing, and most cutting-edge 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, Hives 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!

About Role :

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 cant 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 :

- Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
- Improve workflows of developer, data, and machine learning teams.
- Manage integration and deployment tooling.
- Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure.
- Manage a diverse array of technology platforms, following best practices and procedures.
- Participate in on-call rotation and root cause analysis.

Requirements :

- Experience with infrastructure as a service, distributed systems, and software design at a high-level.
- Comfortable working on Linux infrastructures (Debian) via the CLI and 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.
- Can communicate effectively across teams and management levels.
- Degree in computer science, or similar, is an added plus!
- Nice to have : Understanding Mobile Application (iOS and Android) deployment and release.

Technology Stack :

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

📌 Hive.ai - DevOps Engineer - Cloud Infrastructure (India)
🏢 Chatous Technologies
📍 India