Job Description

• Must be able to acquire DHS Suitability on job
• 10+ years experience building highly performant, reliable, and scalable systems integrations to include ETL functionality, integrating functions between applications, and working with APIs.
• 5+ years experience developing backend enterprise-level Python applications.
• 5+ years experience working with a multitude of storage solutions to include relational databases, non-relational or NoSQL databases, object-relational databases, distributed data stores, and caches or in-memory data stores. Specific technologies include Elasticsearch, Splunk, Postgres, AWS s3, Redis, and memcached.
• 5+ years developing microservice based applications utilizing components such as containers, Docker, Kubernetes, AWS ECR/ECS/EKS/Fargate, and container registries.
• 5+ years leveraging git repositories (e.g. Github, Gitlab, Bitbucket) with an advanced understanding of branching strategies, pull requests, commits, and other key concepts.
• Demonstrated experience writing unit tests to ensure reliable code delivery.
• Expertise in creating data pipelines to include batch and streaming data such as log data or tool/sensor data.
• Experience leveraging message queuing systems as part of a data pipeline solution. RabbitMQ or Kafka preferred.
• Desired Skills 5+ years experience incorporating solutions into Continuous Integration / Continuous Delivery (CI/CD) pipelines as part of the development lifecycle.
• 3+ years working within a team that executes work using the Agile methodology, including the use of Agile Lifecyle Management (ALM) tools such as Jira and Confluence.
• 3+ years experience developing in a cloud environment, with an understanding of how cloud native services can be leveraged to deliver high quality products efficiently.
• Experience working with cybersecurity concepts, tools, technologies, and missions.
• Understanding of machine learning key concepts.
• Contributor to open source projects.

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