Platform Engineering Manager
Black Canyon Consulting LLC
Black Canyon Consulting (BCC) is searching for Platform 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 join and lead a capable Platform team at NCBI. Stepping on decades of experience in dealing with some of industry's most vital services and data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization.Duties and Responsibilities Duties and Responsibilities Manage a platform team that:- Develops and continuously improves DevSecOps, DataOps, AIOps 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
- 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
- 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
- Service mesh
- Experience with best-practice design patterns in coding and architecture
- B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Computer Systems Engineering.
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