10 часов назад
Senior Data Platform Engineer
145 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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