Professional Services Deployment Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Implement ArangoDB and ArangoAI components across AKS, EKS, OpenShift, and on-premise clusters.

• Develop and manage Helm-based deployment packages, including integrated stacks.

• Resolve Kubernetes-level challenges such as PVC/PV mapping, storage performance, pod scheduling, cluster access, and network policies.

• Identify and fix load balancer problems, connection timeouts, and service routing issues.

• Assess cluster health, storage allocation, and performance benchmarks.

• Educate customer teams to achieve self-sufficiency in cluster management, monitoring, and upgrades.

• Produce documentation, training materials, and deployment manuals.

• Facilitate interactive workshops and labs.

• Offer one-time setup assistance while guiding teams towards long-term ownership.

• Analyze performance challenges across compute, storage, and query layers.

• Review query plans, vector index usage, and full-scan patterns in collaboration with DBAs and ML engineers.

• Assist customers in navigating platform limitations such as lost SSH access, misconfigured jump boxes, and compromised cluster states.

• Work closely with internal engineering to identify recurring issues and enhance deployment automation.

• Collaborate with platform teams to standardize deployment patterns.

• Partner with product engineering to assess new features in real-world settings.

• Coordinate with customer project leaders to facilitate seamless onboarding and reliable delivery.

⛳️ Requirements

• Minimum of 4 years of experience in deployment engineering.

• Extensive experience with Kubernetes, specifically AKS, EKS, and OpenShift.

• Proficient in using Helm.

• Strong knowledge of AWS and Azure cloud infrastructures.

• Experience with on-premise environments.

• Familiarity with EBS, gp3, MinIO, and S3-compatible storage solutions.

• Skills in troubleshooting load balancers, timeouts, service endpoints, DNS, and ingress controllers.

• Background in distributed systems or databases like ArangoDB or Neo4j.

• Proficient with Linux, SSH, jump boxes, and cluster-admin workflows.

• Capable of clear and calm communication, simplifying complex systems into understandable terms.

• Patient training style with a focus on building team confidence.

• Strong sense of ownership with the ability to thrive in dynamic environments with changing priorities.

🏝️ Benefits

• Opportunity to contribute to innovative AI and data infrastructure.

• Collaboration with skilled engineers, marketers, and product leaders.

• Play a role in shaping how enterprises develop AI-driven applications.

• Be part of a diverse and inclusive team.

• Receive support for employees and interns as they learn, grow, and make contributions.