Adaptive ML · 2 months ago
Deployment DevOps Engineer
Toronto / New York
Full-time
Onsite
Senior Level
6+ years expAdaptive ML is a company focused on democratizing the use of reinforcement learning to create generative AI experiences. The DevOps Engineer will play a crucial role in packaging technology into products that address customer pain points, ensuring ease of deployment, robustness, and scalability while working on various DevOps aspects including systematic deployment and support for customer escalations.
A/B TestingArtificial Intelligence (AI)Information TechnologyMachine Learning
Responsibilities
Build systematic K8s workflows to deploy our product, either client-side on a variety of infrastructures, or internally for our cloud platform
You'll work closely with sales and customer success to assist product deployment, pre and post sales (POC, demos, production), both on-prem, in cloud and in our SaaS
You'll be part of our first line of support for customer escalation, including bugs, security escalations, special events support (scale-outs, large workshops, load tests)
Contribute to deployment support, in particular on North America time zones. This involves both personally joining customer calls to assist onboarding and troubleshooting, but also leading and contributing to our support mechanisms such as ticket triaging and oncall process
Contribute to our product roadmap, by coordinating between the needs of the Commercial Staff and latest developments from our Technical Staff
Report clearly on your work to a distributed collaborative team, with a bias for asynchronous written communication
Qualification
Required
Significant experience (>6-8 years) in DevOps, DevSecOps, Tech Support or SRE
Experience working in high-pressure roles such as on-call support, security operations or SRE
Enjoy the responsibility of maintaining and troubleshooting high-uptime SLA services
Comfortable with live interactions with Fortune-500 customers, whether to present architecture ideas or to troubleshoot incidents on a call
Strong experience in Kubernetes, containers and associated ecosystem (Helm, ArgoCD, EKS/AKS/GKE, etc)
Expertise in networking (DNS, proxys, WAFs)
Expertise in authentication and identity federation (OIDC, SSO)
Expertise in Postgres
Strong baseline in security (incident detection & containment, network security, Linux hardening)
A deep concern for user experience
Passionate about the future of generative AI, and eager to build foundational technology to help machines deliver more singular experiences
Preferred
Ideally, some experience with software development in Rust
Benefits
Comprehensive medical (health, dental, and vision) insurance
401(k) plan with 4% matching (or equivalent)
Unlimited PTO — we strongly encourage at least 5 weeks each year
Mental health, wellness, and personal development stipends
Visa sponsorship if you wish to relocate to New York or Paris
Company
Adaptive ML
Adaptive ML is a technology firm that develops an LLM platform to help companies train and deploy language models using user feedback.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$20MKey Investors
Index Ventures
2024-03-11Series A· $20M
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