Adaptive ML - Deployment DevOps Engineer

• 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. • Comfort and curiosity with hybrid and on-premises architectures, including administration of long-running bare-metal infrastructure, Linux networking, and on-premises devsecops. • Your (ideal) background • The background below is only suggestive of a few pointers we believe could be relevant; we welcome applications from candidates with diverse backgrounds, do not hesitate to get in touch if you think you could be a great fit even if the below doesn't fully describe you. • You have experience working in high-pressure roles such as on-call support, security operations or SRE. • on-call support, security operations or SRE • You enjoy the responsibility of maintaining and troubleshooting high-uptime SLA services. • 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. • live interactions with Fortune-500 customers • Strong experience in Kubernetes, containers and associated ecosystem (Helm, ArgoCD, EKS/AKS/GKE, etc) • Kubernetes • Expertise in networking (DNS, proxys, WAFs) • networking • Expertise in authentication and identity federation (OIDC, SSO) • authentication and identity federation • Expertise in Postgres • Strong baseline in security (incident detection & containment, network security, Linux hardening) • security • Ideally, some experience with software development in Rust; • some experience with software development in Rust