Systems Engineer - Acitve Top Secret Clearance Required
Fawkes IDM, United States
Job Description
A data analytics company is seeking a Systems Engineer to join their team. This person will be responsible for the design and implementation of modular, cloud-native, API-centric applications.
Responsibilities:
• Support engineering data acquisition activities including technical planning, requirements
management, interface definition, systems integration, verification and validation, and
cost/schedule/risk assessments
• Collaborate with Government counterparts and Mission Owners to identify potential new
capabilities and enhancements to existing capabilities (such as analytic and visualization
approaches)
• Identify and define internal and external interfaces, and coordinates with external data owners
(if needed) to obtain access to new data feeds
• Identify and capture requirements in JIRA (in collaboration with functional analysts)
• Coordinate with software development teams (e.g., by participating in scrum sessions) to ensure
software is developed according to architecture and interface standards
• Refine DODAF system software architectures as needed in collaboration with developers and
enterprise architects
• Lead trade studies, analyses of alternatives, and assessments of existing systems
• Participate in agile activities including release planning, sprint planning, and retrospectives to
gather and incorporate lessons learned into engineering processes.
Requirements
• Active Top-Secret clearance required
• Minimum of a bachelor’s degree and 15 years of experience in a science or engineering field
• Experience with military operations, systems, IT policies, and IT procedures
• Expertise with enterprise architectural patterns, processes, standards, and guidelines
• Strong problem-solving skills
• Excellent written and oral communications skills
• Able to work independently and self-identify tasks
• Ability to review and maintain existing code and applications
• Ability to research and evaluate new concepts and processes to improve performance
Familiarity with Java, Python, JavaScript, SQL, and related ecosystems and frameworks
Familiarity with distributed platforms (i.e. HBase, Kafka, Spark, NiFi) and the cloud (i.e. AWS,
GCP, Azure), preferably Amazon Web Services
• Familiarity with no-SQL databases like Neo4j, ElasticSearch, or Cassandra