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QA Platform Engineer
Job in
Bethesda, Montgomery County, Maryland, 20811, USA
Listed on 2026-01-09
Listing for:
NIH-NCBI
Full Time
position Listed on 2026-01-09
Job specializations:
-
Software Development
Data Engineer, Software Engineer
Job Description & How to Apply Below
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 Pub Med, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
Duties & Responsibilities
This is a great opportunity to work on challenging problems as part of NCBI's Platforms team, in a technical, scientific, and goal-oriented environment.
The Platforms team:
- Develops and continuously improves Dev Sec Ops , Data Ops, and Observability platforms.
- Develops and maintains common tools and libraries.
- Evaluates new technologies and practices.
- Helps NCBI developers with adoption platforms, tools, architectural patterns and best practices.
- Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
- Practices Agile development and continuous improvement.
- Build and maintain compliance pipelines with built-in quality gates
- Continuously automatically gather metrics for application quality for the enterprise-wide portfolio of applications
- Provide QA services on a project basis
Strong coding skills in at least one programing language is required. NCBI uses Python, Java script/Typescript, C++, some Kotlin and Scala and a bit of Golang and Rust.
NCBI is a Linux shop, candidates need adequate level of Linux command-line skills. Sysadmin-level skills are a bonus.
Familiarity with build tools and various web, RPC and other frameworks is a bonus.
Experience with design patterns in coding and architecture is a bonus.
Any knowledge of the following is helpful but not required:
- Open Shift, Anthos, Google Kubernetes Engine (GKE), Azure Kubernetes Services (AKS), Amazon Elastic Kubernetes Service (EKS), Hashicorp Nomad
- Observability tools such as Prometheus, EFK (Elastic Search, fluentd, Kibana), TIGK (Telegraph, Influx
DB, Graphana, Kapacitor), Data Dog, Sensu, Jaeger, Sentry, Ops Genie, Pager Duty. - Service mesh technologies such as Istio, Linkerd
- Kafka, Apache Pulsar, Rabbit
MQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub - Git Lab, Git Hub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management.
- Secret Management tools such as Hashicorp Vault, Cyber Ark, Azure Key Vault, Google Cloud Secret Manager or equivalent.
Educational Requirements
- B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering.
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