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# Senior Systems Engineer - West Coast

- **Company:** VAST Data
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Applications Architecture, Systems Engineering, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Linux, Distributed Data Store, Distributed Systems, Networking Basics, Standard Sql, Search Technologies, Data Processing, Real Time Systems, Data Ingestion, Spring Cloud, Retrieval-Augmented Generation, Apache Spark, HybridCloud, Event Driven Architecture, Data Lakes, Kubernetes, Apache Kafka, Data Management, Machine Learning Operations, Video Streaming, Data Pipelines, Docker
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/d24f00a6-87ba-49e6-b3ae-3ba430aaf702

## About the Role

* Strong expertise in Linux operating systems, networking fundamentals, and distributed systems.
 * Hands-on experience with Docker, Kubernetes, containers, and cloud-native architectures in production environments.
 * Understanding of enterprise storage technologies, S3-compatible object storage, and hybrid cloud infrastructure.
 * Knowledge of modern data platform architectures, including data lakes, lakehouses, distributed databases, and large-scale analytics environments.
 * Familiarity with data engineering concepts, including data ingestion, ETL/ELT pipelines, streaming technologies, and event-driven architectures.
 * Working knowledge of SQL and data processing technologies such as Apache Spark, Kafka, Trino, or similar platforms is highly desirable.
 * Understanding of AI/ML infrastructure and data pipelines supporting model training, inference, RAG, and vector search.
 * Experience architecting solutions for large-scale enterprise environments, ideally supporting petabyte-scale or mission-critical workloads.
 * Strong technical communication and consultative selling skills, with the ability to engage engineers, architects, and executive stakeholders.
 * Intellectual curiosity, adaptability, and a passion for emerging technologies, with the ability to learn and position new platform capabilities as VAST continues to innovate.

## Description

* Partner with Account Executives to drive technical strategy throughout the sales cycle, from discovery and solution architecture through demonstrations, proof-of-concepts, and deployment planning.
 * Design and present architectures leveraging the VAST AI Operating System across on-premises, hybrid cloud, and edge environments.
 * Serve as a trusted technical advisor to customers building AI factories, modern data platforms, analytics environments, and cloud-native applications at enterprise scale.
 * Architect and position VAST's Data Platform and DataEngine solutions, helping customers modernize data architectures, streamline data pipelines, and support real-time processing and AI workloads.
 * Advise customers on distributed storage, Kubernetes, data lakes, lakehouses, event-driven architectures, and modern data processing technologies.
 * Help customers modernize traditional infrastructure, adopt cloud-native architectures, and evaluate hybrid cloud, workload mobility, and data repatriation strategies.
 * Engage with infrastructure, data engineering, and AI/ML teams to translate complex technical requirements into scalable, high-performance solutions.
 * Collaborate with Product Management and Engineering to bring customer insights into product development and help shape VAST's evolving platform capabilities.
 * Stay current with emerging technologies across AI, cloud infrastructure, distributed systems, data engineering, and modern application architectures.