Software Engineer

Responsibilities

• Develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements
• Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components
• Designs, implements, and integrates software applications or performs software engineering tasks
• Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment
• Participate in test, staging and production deployment
• Aid in the maintenance of services and procedures for a big data pipeline which includes Kafka, Elasticsearch, and several in-house written python/java micro services running on Kubernetes
• Develop and integrate Docker containers to be deployed to Kubernetes
• Monitor automated system integration tests to identify failed modules and components
• Manage individual project priorities, deliverables, and deadlines
• Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers

Requirements

• Requires Bachelor’s Degree and 8-12 years of prior relevant experience or Masters with 6-10 years of prior relevant experience.
• Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph
• Experience with containerization, especially with Docker
• Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins
• At least 8 years of experience with the following: Python, API development, Extraction, Transformation, and Load (ETL), enterprise search capabilities (such as Elasticsearch) to solve Big Data challenges, Experience with PostgreSQL and SQL server, Experience with Agile practices, Hands-on development and/or scripting experience, especially Python and Bash in Linux environment, Experience with AWS cloud-based architecture, services (Lambda, etc.), and software development, Experience with Artifactory, Strong verbal and written communication skills, Enthusiastic with the ability to work well in a team and a self-starter who can work on their own

Desired Skills

• Active Security+ certification
• Active CE certification
• Ability to obtain Privileged User Account (PUA) certification by the Government
• GraphQL Service
• Azure Service
• Salt for deployment automation
• Elasticsearch, Kibana, and Logstash
• Experience with systems at scale
• Kafka or other message passing systems
• Experience of a production/enterprise system
• Appian low-code application development platform
• Experience with any of the following technologies: GPU-based Kubernetes, SALT for deployment automation, Elasticsearch, Kibana, and Logstash