QA Platform Engineer

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 DevSecOps, DataOps, 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.

The Compliance and QA team within the Platform section of NCBI focuses on:

The person filling the role of QA Test Engineer will need proven software development skills using modern computing languages such as Python, JavaScript, and Java. Other highly valued expertise includes web technologies and experience with continuous integration/continuous deployment (CI/CD). In addition to automating tests (Selenium, Cypress, Playwright), a person in this role would be expected to implement frameworks and utilities to support deployment, testing, and monitoring. 

• 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

NCBI's platforms are based on containerization, Kubernetes, GitOps and open interfaces with deployments to multiple clouds and premises.

Strong coding skills in at least one programing language is required.  NCBI uses Python, Javascript/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:

• OpenShift, Anthos, Google Kubernetes Engine (GKE), Azure Kubernetes Services (AKS), Amazon Elastic Kubernetes Service (EKS), Hashicorp Nomad
• Observability tools such as Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor), DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty.
• Service mesh technologies such as Istio, Linkerd
• Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub 
• GitLab, GitHub, 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, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent.

Positions offered at any level.  Growth mindset is encouraged and the team offers leadership opportunities at any level.

Educational Requirements

• B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in 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!