Title: Senior Python Developer Location: Remote / Hybrid in Arlington, VA Contract: 6 month contract to full time perm position Required Skills • Experience building highly performant, reliable, and scalable systems integrations to include ETL functionality, integrating functions between applications, and working with APIs. • Experience developing backend enterprise-level Python applications. • 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. • Experience developing microservice based applications utilizing components such as containers, Docker, Kubernetes, AWS ECR/ECS/EKS/Fargate, and container registries. • Experience 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 • experience incorporating solutions into Continuous Integration / Continuous Delivery (CI/CD) pipelines as part of the development lifecycle. • 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. • 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. Our client is looking for a Senior Developer to support the development of an integrated solution to visualize cyber security related data. The Continuous Diagnostics and Mitigation (CDM) Dashboard is comprised of multiple Commercial Off the Shelf (COTS) and open source products, software configuration packages, and custom code which work together to operate as a single dashboard solution, tailored to meet DHS requirements. Our client is responsible for designing the complete Dashboard solution, and for developing and delivering custom components that work with the prescribed, pre-installed COTS and open source components. This position will work as part of an agile development team to conduct systems design, analysis, and development of the solution. We are seeking a problem solver, who enjoys the challenge of tackling technical tasks and problems with little oversight, and connecting dots to think at the broader, solution level. A strong desire and aptitude for learning is a must - our solution is rapidly evolving, along with new requirements, technologies, and the threat landscape. Successful candidates will have demonstrated experience writing well-structured Python code using best practices to deliver enterprise-level applications. Candidates should have a solid understanding of core data pipeline processing capabilities to include different design patterns, stream vs bulk processing, ETL functionality, a range of data stores, and APIs. The ability to develop and deliver reliable, performant, and scalable solutions on time is a critical ability of the ideal candidate. Required Skills : Expertise building highly performant, reliable, and scalable systems integrations to include ETL functionality, integrating functions between applications, and working with APIs. Expertise developing backend enterprise-level Python applications. Expertise 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. Expertise developing microservice based applications utilizing components such as containers, Docker, Kubernetes, AWS ECR/ECS/EKS/Fargate, and container registries.