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2 дня назад

Systems and Database Engineer | Database Services

Тип работы
fulltime
Грейд
junior
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
Systems and Database Engineer | Database Services (MariaDB/MongoDB/InfluxDB/ClickHouse): Design, operate, and scale relational and non-relational databases for low-latency trading platforms with an accent on query optimization, reliability, and production systems engineering. Focus on Kubernetes-managed database workloads, Python automation, high availability, observability, and resolving time-sensitive production issues.

Location: Bala Cynwyd (Philadelphia Area), Pennsylvania, United States

Company

hirify.global is a quantitative trading firm using scientific research, machine learning, and technology to develop systematic trading strategies.

What you will do

  • Design, deploy, maintain, and scale MariaDB, MongoDB, InfluxDB, and ClickHouse databases across TB-scale datasets.
  • Optimize query performance through indexing, execution plan analysis, and schema design.
  • Develop production-quality Python tooling and automation for database operations and maintenance.
  • Design replication, failover, disaster recovery, and high-availability solutions.
  • Manage containerized database workloads with Kubernetes, including ClickHouse deployments.
  • Monitor system health, resolve time-sensitive production issues, and collaborate with developers, researchers, and platform engineers supporting trading applications.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
  • 1–5 years of experience in database engineering, systems engineering, or a related discipline.
  • Strong SQL and relational database skills, including complex queries, indexing, partitioning, replication, and high availability.
  • Production-quality Python development skills.
  • Experience deploying, managing, and debugging Kubernetes workloads.
  • Strong Linux fundamentals, production operations experience, and working knowledge of AI tools for engineering workflows.

Nice to have

  • Graph database experience with Neo4j or similar technologies.
  • Oracle, ProxySQL, Terraform, Prometheus, or Grafana experience.
  • Production or trading environment experience.

Culture & Benefits

  • Work in a collaborative environment with researchers, engineers, and traders.
  • Apply technology and quantitative research to large-scale datasets and global markets.
  • Operate in a high-performance, low-latency trading environment.

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