Principal Engineer (Java/Spring Boot) [$348k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Annapolis Junction, MD, United States
2 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$348,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Systems Engineering Software Quality MongoDB Object-Oriented Software Development Software Systems Spring-boot Technical Debt Solid Principles Kubernetes Restful APIs Docker
+1 more
Elk Stack

Job description

  • Serve as a technical anchor and feature lead to architect, design, and implement new software capabilities.
  • Translate complex requirements into robust, documented technical designs using Object-Oriented principles.
  • Coordinate with integrated feature teams and systems engineering to ensure high-quality delivery across the full development lifecycle., * Lead architectural analysis and design documentation, ensuring seamless integration without technical debt.
  • Act as feature lead driving the definition of done from initial concept through development, testing, and deployment.
  • Deconstruct high-level feature designs into actionable tasks, track feature status, and mentor engineering team members.
  • Conduct comprehensive merge request reviews to maintain code quality, security protocols, and performance benchmarks.
  • Develop and maintain software leveraging Java, Spring Boot, REST APIs, MongoDB, Docker, Kubernetes, and the ELK stack.

Requirements

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.

We are looking for a Senior Java Engineer and Technical Anchor to architect new product features, decompose complex tasks for development teams, and write robust Spring Boot and MongoDB code utilizing strict SOLID principles., * Degree: Technical bachelor’s degree or equivalent experience

  • Years of experience: 12+ years
  • Total Compensation: $348k+ yearly

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Balancing data science skillings alongside systems engineering rigor

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Creating model transparency with continuous operational metrics logging

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Realizing the limitations of MongoDB for live statistics

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