Front End Software Developer

Job Title:

Front End Software Developer

Location:

HYBRID, St. Louis, MO (at least 1x a week on-site)

Security Clearance:
Active U.S. DoW TS/SCI Clearance

We question. We listen. We adapt.

Be honest. Be pragmatic.

Omni Federal, founded in 2017 and headquartered in Washington, DC, is a highly specialized software solutions provider with a robust presence in key locations across the United States, including Boston, MA, Colorado Springs, CO, San Antonio, TX, and St. Louis, MO. Born out of the Department of Defense's software factory ecosystem, Omni has rapidly distinguished itself by delivering both mission-critical and enterprise solutions that enhance the technological capabilities of the federal government.

With a focus on areas such as Command and Control, Cybersecurity, Space, Geospatial, and Modeling & Simulation, Omni leverages cutting-edge commercial technology tailored to government objectives, improving mission performance and delivering transformative outcomes for the Department of Defense (DoD), Intelligence Community (IC), and their end-users. The company's innovative approach is backed by its Omni Labs and SBIR Innovation centers, where they develop advanced platforms and tools indata mesh, secure connectivity, and intelligent automation

• Environment of Autonomy
• Innovative Commercial Approach
• People over process

We are seeking strong Front End Software Developer to support Omni Federal and our Intelligence customer in St. Louis, MO. This is an exciting new initiative where our customer is mirroring Silicon Valley processes and capabilities to quickly deploy new geospatial capabilities. Candidates must be passionate, energized, and excited to work on modern architectures and solve challenging problems for our clients.

• Design, develop, maintain, and deliver full-stack web applications using Angular.
• Develop and maintain Python-based capabilities for processing geospatial data.
• Collaborate with software developers and other team members to deliver mission-focused software solutions.
• Participate in Agile development activities, including planning, implementation, testing, and iterative improvements.
• Leverage AWS services, including Lambda, SQS, ECS, RDS, and Cloud Formation, to support application functionality and infrastructure.
• Support CI/CD pipelines, application deployments, and containerization using tools such as Git Lab, Kubernetes, and Open Shift.
• Participate in peer code reviews and implement unit and system-level regression testing.
• Document testing activities, results, and software changes.
• Work independently on assigned development tasks while pairing with other developers to troubleshoot issues and solve technical challenges.
• Participate in the team's rotating Ops Dev role, monitoring high-side communications and technical performance from the SCIF.
• Serve as the designated point of contact during assigned NGA business hours for immediate customer communications and technical concerns.
• Work a modified 9/80 schedule and meet the team's hybrid onsite requirements.

• Active DoW Top Secret with SCI eligibility
• 2-5 years of software development experience
• Experience with design, development, and delivery of full-stack Angular web applications
• Experience with Python (as a development language) for processing of geospatial data
• Experience being part of a software development team(s) using Agile best practices & methods
• Experience with AWS technologies such as Lambda, SQS, ECS, RDS, and Cloud Formation
• Familiarity with Dev Ops tools and concepts such as;
  Git Lab, developing CI/CD pipelines, Kubernetes or Open Shift deployments, and containerizing applications
• Familiarity with Peer Review processes, Unit Testing, System Level Regression Testing, and Documenting results
• Ability to work independently while also pairing with other developers when necessary

• Experience supporting NGA or other DoD/Intelligence Community mission environments.
• Experience developing geospatial applications or working with GIS technologies and geospatial datasets.