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Open nowFirst seen 32 hours ago

Senior Systems Engineer - West Coast

VAST Data269 open roles

Where
West Coast
Work mode
On site
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Your applicationOpen nowSenior Systems Engineer - West CoastVAST Data · West Coast

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on VAST Data's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. VAST Data postings stay open a median of 1 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: first seen 32 hours ago

VAST Data median: 1 days open

The posting

VAST Data is looking to hire a Senior Systems Engineer to join our growing team!



VAST Data is defining an entirely new category in enterprise infrastructure by building the world's first Operating System for AI.



For decades, organizations have relied on fragmented infrastructure stacks—separate systems for storage, databases, messaging, virtualization, and AI pipelines. VAST has fundamentally reimagined this model by unifying these capabilities into a single intelligent software platform purpose-built for the AI era.

As one of the fastest-growing enterprise software companies in the world, VAST partners with the industry's leading organizations to power next-generation AI factories, autonomous agents, large-scale model training, and modern data platforms.

Joining VAST means becoming part of a team that isn't just building another infrastructure product—we're creating a new category and defining the foundation upon which the future of AI will run.

If you're excited by transformational technology, solving complex technical challenges, and helping customers build the future, we want to hear from you.

RESPONSIBILITIES



  • 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.

Requirements

  • 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.
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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

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