Systems/Integration/Architect/Test Engineers (Mid-Level)
Location: Chantilly or Springfield

Clearance Requirement:  TS with SCI eligibility

Degree Requirement: Bachelor’s degree in Computer Science, Information Technology, Management Information Systems, or related STEM degree program.

StellarPeak has multiple openings for mid-level engineers in the following focus areas on a recently awarded 5-year effort. Reach out to careers@stellarpeak.com to explore these opportunities further.

  1. System Architect: Mid-level System Architects design and develop solutions for complex applications problems, API design, data services, platform services, cloud services and infrastructure services to meet user requirements and align to strategic goals and the Enterprise Architecture. Required: Mid-level architecture working experience in government or Desired: Working knowledge of Model Based Systems Engineering, processes.
  1. Enterprise Architect: Mid-level Enterprise Architects develop and plan the GEOINT Enterprise Architecture (GEA). They create and communicate Enterprise architecture artifacts IAW DoDAF and IC PAG. Required: Mid-Level working experience in government or industry with Architecture tools. Desired: Working knowledge of Model Based Systems Engineering, processes, tools and languages.
  1. Systems Engineer: Mid-level Systems Engineers employ a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the National System of Geospatial-intelligence (NSG), Allied System of Geospatial-intelligence (ASG) and Federal Agencies to ensure timely and accurate GEOINT. Required: Mid-level working experience in government or industry in relevant work areas including: DoD/IC Acquisition Process, Requirements Process, PPBES Process or system engineering of large complex System of Systems or Service Oriented Architecture/Cloud environments. Mid-level working system engineering experience in government or industry. Desired: Working knowledge of Model Based Systems Engineering, processes, tools and languages. Working knowledge of Software Development Frameworks. INCOSE Associate System Engineering Professional (ASEP) certification. Documented work experience in the field of geospatial intelligence. Working knowledge of photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields. Demonstrated knowledge of the current NSG/ASG and NRO enterprises.
  1. Test Systems Engineer: Mid-level Test Systems Engineers perform Application, System and Integration Testing across the National System of Geospatial-intelligence (NSG), Allied System of Geospatial-intelligence (ASG) and Federal Agencies to ensure timely and accurate GEOINT. Required: Experience with test management and defect tracking tools. Experience with traditional, Agile, and DevOps development practices and associated testing strategies. Desired: Master’s degree in Computer Science, Information Technology, Management Information Systems, or related STEM degree program. Experience with three or more of the following; JMeterand, Jenkins, Docker, Postman, Swagger, Nexus, Apigee or GitHub/GitLab (or equivalent software packages), Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, and AWS and C2S. Working knowledge of Model Based Systems Engineering, processes, tools and languages. Working knowledge of Software Development Frameworks.
  1. Integration Engineer: Mid-level Integration Engineers are responsible for developing or assisting with the development of program and project integration solutions across the enterprise and determining integration/interface requirements. They work with systems engineers, solutions architects and programmers to ensure applications and systems interoperate to deliver end-to-end mission solutions and maintain the integrity of the system-of-system enterprise.  Required: Mid-level working experience in government or industry in data base management or Big Data analysis. Desired: Working knowledge of Model Based Systems Engineering, processes.

Equal Employment:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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