20 дней назад
Platform Engineer (DataOps)
115 000 - 150 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (DataOps) (Kubernetes/Cloud/DataOps): Developing and continuously improving an enterprise-wide DataOps platform for biomedical data-intensive applications with an accent on Kubernetes, cloud infrastructure, containerization, and data processing. Focus on building compliance pipelines, common platform tools, and integrations with Kafka or Pub/Sub and Airflow while supporting adoption across NCBI.
Location: Bethesda, Maryland, with onsite or remote work at NCBI
Salary: $115,000–$150,000 per year, commensurate with experience and location.
Company
provides professional services and technology support for NCBI at the National Library of Medicine within the National Institutes of Health.
What you will do
- Develop and continuously improve an enterprise-wide DataOps platform.
- Develop and maintain shared tools and libraries for data processing applications.
- Evaluate and introduce modern technologies and engineering practices.
- Support NCBI developers in adopting the platform and its capabilities.
- Provide automated solutions and compliance pipelines for federal application security regulations and standards.
- Contribute to agile development and continuous improvement across the DataOps Platform team.
Requirements
- Strong coding skills in at least one programming language, such as Python or C++.
- Experience with Kubernetes and containerization.
- Experience with Google Cloud Platform, Amazon Web Services, Microsoft Azure, or equivalent cloud services.
- Experience with Apache Kafka, Google Cloud Pub/Sub, or equivalent messaging technologies.
- Experience with Apache Airflow or an equivalent workflow orchestration tool.
- Experience with data processing applications, modern cloud-based data processing infrastructure, Linux command-line tools, and a B.S. in a STEM field or equivalent systems engineering experience.
Nice to have
- Experience with Google Anthos, Docker, GitOps tools such as ArgoCD, or infrastructure-as-code tools such as Terraform.
- Experience with Git hosting, CI/CD, artifact management, observability, logging, secret management, and data transfer tools.
- Experience with Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, or related technologies.
- Knowledge of best-practice coding and architecture patterns and experience working in an agile environment.
Culture & Benefits
- Medical, dental, and vision coverage.
- 401(k) plan with employer contribution.
- Paid holidays and vacation.
- Flexible work schedule.
- Tuition reimbursement.
- Opportunities for continuous improvement, professional growth, and leadership at any level.
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