Stack AV

Technology

SeniorDataPlatformEngineer

$155–215k ~AI est. Pittsburgh, Pennsylvania, United States; United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Platform Engineer at Stack AV. Skills: Data Platform Engineering, Distributed Systems, Storage Systems. Design distributed storage systems. Operate distributed storage systems”

Industry & Context.

Technology
Problems you'll solve

Problem-solving complex distributed systems

Eligibility Requirements

U.S. national security laws compliance, U.S. export control regulations compliance

What They're Looking For.

Must Have

7+ years building distributed storage systems, 7+ years operating modern data platforms, Experience operating streaming platforms, Fluent in Python, Fluent in SQL, Experience writing data applications, Experience maintaining data applications, Experience operating RDBMS, Experience optimizing RDBMS, Debugging complex distributed systems, Problem-solving complex distributed systems, Ability to collaborate across teams, Communicate technical concepts clearly

Nice to Have

Kafka experience, Pulsar experience, Experience with Trino, Experience with Apache Spark, Knowledge of Iceberg, Knowledge of Delta Lake, Knowledge of Hudi, Knowledge of Xtable, Experience with Postgres, Experience with MySQL

What You'll Do.

Design distributed storage systems

Operate distributed storage systems

Schedule large-scale batch workloads

Execute large-scale batch workloads

Build modern data platform

Maintain modern data platform

Optimize storage resource utilization

Improve reliability of storage systems

Improve fault tolerance of storage systems

Improve reliability of data platform components

Improve fault tolerance of data platform components

Collaborate with teams

Understand workload requirements

Improve platform capabilities

Contribute to platform tooling

Contribute to automation

Contribute to CI/CD workflows

How You'll Work.

Team & Collaboration

Collaborate across teams; Understand workload requirements

Communication Scope

Communicate technical concepts

Process & Methodology

CI/CD workflows

Full Job Description

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: In the Compute Platform team, our mission is to provide the foundational compute platform that powers large-scale autonomous systems development. The team is responsible for enabling engineers and researchers to efficiently run compute and data intensive workloads on Stack AV infrastructure. The Data Platform team is responsible for designing, implementing and maintaining the Stack AV on-premises data platform. The team supports large scale OLAP/OLTP and feature engineering workloads for multiple Product Development groups across the company. You will work at the intersection of infrastructure, distributed systems, and developer experience–ensuring that our critical services and pipelines are reliable, efficient, and easy to run. As a Senior Data Platform Engineer, you will design and operate high scale data systems that power engineers across the company. Responsibilities: Design and operate distributed storage systems for scheduling and executing large-scale batch workloads. Build and maintain an open source, modern data platform. Optimize utilization of storage resourcesImprove reliability and fault tolerance of large-scale storage systems and data platform components. Collaborate with teams across the company to understand workload requirements and improve platform capabilities. Contribute to p

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