Deployment DevOps Engineer

🕒 March 2

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Adaptive ML

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Adaptive ML is a company that specializes in adaptive engine technology, allowing businesses to tune and deploy open models using reinforcement learning for high-performance AI applications. They focus on enhancing generative AI by enabling fast inference, feedback collection, safety guardrails, automated A/B testing, and private cloud deployment using their Adaptive Engine. The company aims to optimize AI models to directly drive business outcomes while keeping data secure within the client's cloud. Adaptive ML is backed by significant investment and supports continuous monitoring and improvement of AI models to ensure quality and performance on specific use cases. They offer solutions that require minimal RL knowledge, making it accessible for companies to implement advanced AI capabilities. Their technology emphasizes privacy, control, and optimization of AI models for enterprise uses.

📋 Description

• 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.

🎯 Requirements

• Significant experience (>6-8 years) in DevOps, DevSecOps, Tech Support or SRE. • You have experience working in high-pressure roles such as on-call support, security operations or SRE. • You enjoy the responsibility of maintaining and troubleshooting high-uptime SLA services. • You are 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) • Ideally, some experience with software development in Rust; • 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.

🏖️ 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.