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Python and Kubernetes SWE [$323k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Fort Meade, MD, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$323,000.0
Working hours
Regular working hours
Job source
clearancejobs.com

Tech stack

Algorithm Design Systems Engineering Unit Testing Big Data Python (Programming Language) Software Requirements Analysis Systems Architecture Real Time Systems Integration Tests Kubernetes Docker

Job description

  • Lead the development, maintenance, and enhancement of complex software systems.
  • Design and implement processing-intensive analytics and advanced algorithms.
  • Manage and optimize large data sets and real-time system operations.
  • Perform comprehensive software component testing and troubleshoot issues.
  • Actively participate in system design, hardware/software trade-off analysis, and requirements definition., * Design, develop, and maintain complex software systems.
  • Create and optimize processing-intensive analytics and advanced algorithms.
  • Manage and integrate large data sets and cloud repository/big data solutions.
  • Develop and maintain real-time and embedded systems components.
  • Perform comprehensive software component and integration testing.
  • Analyze requirements, contribute to system architecture, and conduct systems engineering activities.
  • Troubleshoot and resolve software defects and performance issues.
  • Evaluate hardware/software trade-offs during system design.
  • Proficiency in Python, Kubernetes, Docker, and Helm is required.

Requirements

  • Degree: Technical bachelor’s degree or equivalent experience
  • Years of experience: 14+ years
  • Salary: $323k+ yearly compensation

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Good distractions

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

Moments

Explore playlists

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

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Europe 2026 Virtual • 2 months ago

Docker Compose: Rediscovered

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LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

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Understanding Kubernetes in a visual way thumbnail
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World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

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Microservices: how to get started with Spring Boot and Kubernetes

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World Congress 2026 Europe • about 2 months ago

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬

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