Scan your resume against ATS criteria for this Platform Engineer (DataOps) role at Black Canyon Consulting.
Black Canyon Consulting (BCC) is searching for
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/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 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.
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
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, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
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
Kubernetes, containerization
Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure or equivalent cloud services
Apache Kafka, Google Cloud Pub/Sub or equivalent
Apache AirFlow or equivalent
Experience with data processing applications and modern cloud-based data processing infrastructure
Linux command-line skills
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
Experience working in Agile environment
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.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $115,000 - $150,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Kubernetes, containerization
Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure or equivalent cloud services
Apache Kafka, Google Cloud Pub/Sub or equivalent
Apache AirFlow or equivalent
Experience with data processing applications and modern cloud-based data processing infrastructure
Linux command-line skills
Bonus Skills:
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
Experience working in Agile environment
Educational Requirements**
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.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $115,000 - $150,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
How to apply for Platform Engineer (DataOps) at Black Canyon Consulting?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
This position is open to freshers and experienced candidates.
Is this position still open?
Yes, currently active and accepting applications.
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Platform Engineer (DataOps)
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