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10 часов назад

Senior Data Platform Engineer

145 000 - 190 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Platform Engineer (AI/Data Infrastructure): Architecting secure cloud data infrastructure and resilient streaming and batch pipelines with an accent on performance, observability, and infrastructure automation. Focus on optimizing multi-tenant schemas, deploying Kubernetes-based systems, troubleshooting application data workflows, and operationalizing AI models through MLOps.

Location: Washington, D.C.; hybrid work with flexibility to work from home and access to company offices

Salary: $145,000–$190,000 USD per year

Company

Develops mission-critical software for securely sharing and analyzing sensitive data using decentralized architecture, agentic AI, and military-grade security.

What you will do

  • Architect, provision, and maintain secure cloud-based data storage and platform infrastructure using Terraform and Helm.
  • Design and operate resilient real-time streaming and batch data pipelines from ingestion through production applications.
  • Build monitoring and alerting for data health, infrastructure performance, bottlenecks, and pipeline reliability.
  • Partner with application teams to troubleshoot database queries, pipeline logic, and data-related issues.
  • Establish data governance, integrity, security, and platform engineering best practices across teams.
  • Support MLOps through AI model versioning, containerization, and deployment.

Requirements

  • 5+ years of experience in a data-driven role and a bachelor’s or master’s degree in science, mathematics, engineering, or a data-driven field.
  • Strong Python or equivalent scripting, automation, and tooling experience.
  • Experience designing scalable relational and non-relational SQL/NoSQL schemas, including query tuning, indexing, and execution plan analysis.
  • Hands-on experience with AWS data services such as RDS, Aurora, or Lambda, or Azure equivalents, plus Terraform and/or Helm.
  • Working knowledge of Kubernetes, Docker, container observability, resource allocation, and cluster health.
  • Experience with Dagster or Apache Airflow, Git, CI/CD, infrastructure-as-code, and production deployments.

Culture & Benefits

  • Flexible hybrid work options and opportunities to work remotely from eligible locations for up to two months per year.
  • Competitive benefits including a fully funded health, vision, and dental plan from day one.
  • 401(k) plan with up to 5% employer contribution.
  • Up to 24 weeks of paid parental leave, a paid ramp-back program, and a family-forming benefit.
  • Flexible vacation, Summer Fridays, an extended December holiday period, and commuting support.
  • Individualized mentoring, learning and development programs, wellness support, and in-person team events.

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