About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughput. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.

Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

DevOps and Systems Team

Our unique machine learning needs led us to open our own data centers, with an emphasis on GPU resources. Even with these data centers, we maintain a hybrid infrastructure into AWS to power some parts of our consumer apps. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Systems team to maintain the reliability of a 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 ensuring developers can deploy their servers without worrying about downtime.
Responsibilities

Automate manual operational processes
Improve workflows of developer, data, and machine learning teams
Manage integration and deployment tooling




Create, maintain, monitor, secure and audit infrastructure
Manage a diverse array of technology platforms, following best practices and procedures
Participate in on-call rotation and root cause analysis
Utilize OWASP top 10 techniques to secure code from vulnerabilities
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 1 - 2 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 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/Ansible/Puppet/Salt
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 Deploy, 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 Deploy and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Vigente 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Systems Engineer / Devops (Cundinamarca)
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