Full Stack DevOps Engineer

Bespoke Technologies•Chantilly, VA

About The Position

The Full Stack DevOps Engineer will join a team supporting a customer across data engineering and operations, software engineering, security engineering, DevOps engineering, application development, data science, and program management. The work supports data acquisition, exploitation, engineering, and management tasks. The role requires communication and collaboration across organizational boundaries, including with other contractor teams, customer staff, and external stakeholders. Applicants must have an active Poly clearance. Candidates without a Poly clearance will not be considered.

Requirements

  • Active Poly clearance.
  • Demonstrated experience with Kubernetes.
  • Demonstrated full-stack development experience, including frontend and backend development using technology stacks such as Spring Boot, Django, Flask, Angular, jQuery, or React.
  • Demonstrated experience with programming languages such as Java, Python, bash shell scripting, and JavaScript.
  • Demonstrated experience with AWS cloud technologies and infrastructure-as-code concepts.
  • Demonstrated experience interacting with cross-functional teams, including software development, data engineering, systems engineering, and security.
  • Demonstrated experience with Agile practices and methodologies.
  • Demonstrated experience with DevOps continuous integration and continuous deployment (CI/CD) technologies.
  • Demonstrated experience with deployment automation techniques and tools such as Ansible, Git, Jenkins, Puppet, Docker, Confluence, and JUnit.
  • Demonstrated experience with cloud DevOps automation capabilities such as cloud-init, AWS CloudFormation, or HashiCorp Terraform.
  • Demonstrated experience with the software configuration management lifecycle.
  • Demonstrated experience with large-scale data technologies such as Elasticsearch, Presto/Trino, or Apache Spark.
  • Demonstrated experience working within a low-to-high development/deployment environment.

Nice To Haves

  • Demonstrated experience optimizing tools and services to leverage large-scale data technologies such as Elasticsearch, Presto/Trino, or Apache Spark.
  • Demonstrated experience developing ETL automation tools and services.
  • Demonstrated experience developing prototypes for novel tools and services.
  • Demonstrated experience integrating Sponsor security requirements into Sponsor tools and systems.
  • Master’s degree in engineering, computer science, mathematics, or a comparable area of study.
  • Demonstrated experience resolving malformed character encoding.
  • Demonstrated experience reading Mandarin Chinese at level 2 or higher based on the Sponsor’s or a similar rating scale.

Responsibilities

  • Support customer work in data engineering and operations, software engineering, security engineering, DevOps engineering, application development, data science, and program management.
  • Support data acquisition, exploitation, engineering, and management tasks.
  • Communicate and collaborate across organizational boundaries with other contractor teams, customer staff, and external stakeholders.
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