Senior Data Systems Architect / Distributed Systems Software Engineer

Chipton Ross

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience with C# or C++ OR 2+ years experience with Rust
  • Strong background in automated systems and big data architectures
  • Experience with distributed system architectures and big data tools
  • Familiarity with Python, Object Oriented Programming, and Data Oriented Design
  • Bachelor's degree in Computer Science, Computer Engineering, or related STEM field

Responsibilities

  • Define and implement architectures for automated systems and big-data ecosystems
  • Develop automated data pipelines and perform data transformation and anomaly detection
  • Architect and deliver local, distributed, and cloud-based data solutions
  • Translate stakeholder needs into technical architectures and design specifications
  • Design system standards across software, hardware, tools, and data platforms
  • Implement proof-of-concept prototypes to validate design approaches
  • Participate in design reviews to ensure compliance with standards and cybersecurity controls
  • Integrate AI/ML models into operational data flows

Benefits

  • Full-time employment with a 4/10 work schedule
  • Starting on first shift
  • Potential involvement in groundbreaking work with airborne sensing and tracking systems
  • Opportunity to work on high-impact projects in the defense and aerospace sector
Full Job Description
Job Description
Job #218595

Chipton-Ross is seeking a Senior Data Systems Architect / Distributed Systems Software Engineer for a contract opportunity in Fort Worth, TX.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE)

  • 5+ years of Software engineering experience with C#, C++ OR 2+ years experience with Rust


POSITION RESPONSIBILITIES

  • Define and implement architectures for automated systems and big-data ecosystems
  • Develop automated data pipelines; perform data transformation, aggregation, and anomaly-detection tasks
  • Architect and deliver local, distributed, and cloud-based data solutions
  • Translate stakeholder needs into technical architectures, design specifications, and executable plans
  • Design system technical standards and requirements across software, hardware, tools, and data platforms
  • Implement proof-of-concept prototypes to validate design approaches
  • Participate in design reviews and ensure compliance with engineering standards and cybersecurity controls
  • Integrate AI/ML models into operational data flows
  • Support test planning, system integration, and formal qualification events


PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE)

  • 5+ years experience in designing and implementing distributed system architectures (e.g. Shared Memory, GRPC, Sockets, REST)
  • 2+ years working with big-data tools (eg Hadoop, Iceberg, Impala, Trino), or high-volume data pipelines (e.g. S3 protocol, SeaweedFS, MINIO)
  • 5+ years experience with Python, Object Oriented Programming (OOP), Data Oriented Design (RUST), APIs, Design Patterns, Clean Architecture, and Test Driven Development
  • Familiarity with Airborne Sensing/Tracking systems (e.g., Radar, Electronic Warfare, and/or Electro Optical).


REQUIRED EDUCATION

  • Accredited Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, or related discipline (STEM)


WORK HOURS

  • Full-Time
  • 4/10 work schedule
  • 1st Shift


ADDITIONAL INFORMATION

  • Applicants responding to this position will be subject to a government security investigation and must meet eligibility requirements by currently possessing the ability to view classified government information.
  • Employment will be contingent on clearing a drug screen and background check. Both must clear prior to start date.
  • Candidates responding to this posting must currently possess the eligibility to work in the United States. No third parties please.


For more information, please apply or contact:

Zachary Fasano 800.927.9318 x252
[email protected]

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