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Clarity Innovations

Principal Platform Engineer

Herndon, VA; Herndon, VAUnited States
Principal · Platform Engineering
POSTED 27 OCTVERIFIED 50M AGO
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Pay · Clarity Innovations
$180k–$207k
p25–p75 · n=3
Open for
7d
since 27 Oct
Hiring · 30d
49
−1 net · open roles
PythonGoKubernetesDocker

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.

We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.

Role:

The Platform Engineer designs, develops, deploys, and maintains the foundational infrastructure and platform services that enable mission-critical applications to operate securely, reliably, and at scale. This is a hands-on engineering role focused on platform automation, container orchestration, infrastructure reliability, and continuous delivery in secure environments.

The engineer contributes to platform architecture, implementation, and lifecycle management while improving developer workflows, operational efficiency, and system resilience. Working independently and collaboratively, the Platform Engineer solves complex technical challenges, supports project milestones, and helps establish engineering standards that ensure consistent, repeatable, and secure platform operations.

Responsibilities include:

  • Design, develop, document, test, and maintain platform services, infrastructure automation, and supporting software.
  • Build and maintain CI/CD pipelines and automated workflows that improve build, test, deployment, and release processes.
  • Automate infrastructure provisioning, configuration management, operational tasks, and system maintenance using Go, Python, and related tooling.
  • Deploy, operate, troubleshoot, and optimize containerized applications and services running in Kubernetes environments.
  • Implement and maintain GitOps workflows to manage infrastructure and application configurations, support version control, and provide auditable, repeatable deployments.
  • Apply security best practices across platform infrastructure, networking, operating systems, and software delivery pipelines.
  • Monitor platform health, troubleshoot complex system issues, and improve reliability, performance, scalability, and operational resilience.
  • Collaborate with software engineers, cybersecurity professionals, data engineers, and mission stakeholders to deliver dependable platform capabilities.
  • Explore and integrate emerging technologies, including AI agents and intelligent automation, to improve platform operations and mission effectiveness.
  • Contribute to technical documentation, engineering standards, and continuous improvement initiatives while ensuring quality and mission requirements are met.

Requirements:

  • Strong knowledge of Bash, Ansible and Python, particularly for infrastructure automation, service development, provisioning, and operational tooling.
  • Hands-on experience with containerization technologies and deploying, managing, and debugging workloads in Kubernetes clusters.
  • Experience implementing GitOps practices to manage, scale, and audit production infrastructure and containerized workloads.
  • Proficiency with Linux operating systems, including system administration, troubleshooting, process management, and performance analysis.
  • Working knowledge of networking, security concepts, system internals, and secure infrastructure design.
Source · Clarity InnovationsFirst seen 2 NovOriginal ↗