Black Canyon Consulting (BCC) is searching for Platform Systems Engineering Manager to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.
NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data. NCBI is located in Bethesda, Maryland.
This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization.
Duties and Responsibilities
Manage a platform team that:
- Develops and continuously improves DevSecOps, DataOps and Observability platform.
- Develops and maintains common tools and libraries.
- Evaluates new technologies and practices.
- Helps NCBI developers with adoption of platform.
- Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
- Embraces agile development and continuous improvement
- Encourages growth mindset and offers leadership opportunities at any level
Required Skills
- Project and Product management skills
- Agile process skills
- Coding skills (even if dated) in at least one programing language are required
- Kubernetes, containerization
- Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure or equivalent cloud services
- Understanding of CI/CD and DevOps
- Experience with data processing applications and modern cloud-based data processing infrastructure
- At least some understanding of Linux and networking
Bonus Skills
- Google Anthos
- Docker
- GitOps tools: ArgoCD or equivalent
- Infrastructure as code tools: Terraform or equivalent
- GitLab, GitHub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management
- Modern observability and logging tools: Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor), DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty, Splunk, or equivalent
- Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent
- Data transfer tools: AWS DataSync, Aspera, MinIO, CloudSoda or equivalent
- Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub
- Experience with best-practice design patterns in coding and architecture
Educational Requirements
- B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Computer Systems Engineering.
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Top Skills
What We Do
Official account of the National Center for Biotechnology Information (NCBI) at the National Library of Medicine. NCBI serves as an international resource for the scientific research community - providing access to public databases and software tools for analyzing biological data, as well as performing research in computational biology.
The NCBI was established in 1988 by an act of the United States Congress as division of the National Library of Medicine at the National Institutes of Health, with a mission to find new approaches to deal with the increasing volume and complexity of biological data in order to facilitate the understanding of genes and their role in health and disease.
The NCBI is made up of multidisciplinary research and development teams composed of molecular biologists, biochemists, structural biologists, clinicians, mathematicians, and computer scientists who:
Archive: Gather scientific and medical research data from around the globe
• Serve as the largest repository of the world’s primary biological research data
• Produce curated datasets to enhance the value and usability of the primary data
Access: Develop systems for discovering and integrating scientific and medical data
• Create search tools and data cross-referencing mechanisms
• Display and enable download of information from the world's largest collection of biological data
Advance: Promote understanding of processes that effect health and disease
• Perform cutting-edge research in computational biology
• Design and build algorithms, programs and systems for analysis of biological data
• Provide support and training through a varied and vigorous outreach program
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