Platform Engineer

Smart IMS•Arlington, VA
•Hybrid

About The Position

As a Platform Engineer, you will design, build, and optimize cloud-native platforms, developer tools, and automation solutions that improve software delivery, scalability, and engineering productivity across the organization. The role combines software engineering, DevOps, platform engineering, and technical leadership to support modernization initiatives and help teams deliver reliable, enterprise-scale solutions.

Requirements

  • Extensive experience as a Software Engineer, Full-Stack Engineer, Platform Engineer, or in a similar technical role.
  • Strong programming experience in C#, Java, Python, Go, JavaScript, or TypeScript.
  • Experience designing and building scalable applications, APIs, distributed systems, and cloud-native services.
  • Strong knowledge of DevOps practices, CI/CD pipelines, and deployment automation tools such as Jenkins and GitHub Actions.
  • Hands-on experience with AWS and/or Azure cloud platforms.
  • Expertise with Docker, Kubernetes, Infrastructure as Code, and modern platform engineering practices.
  • Experience developing internal platforms, frameworks, libraries, or tools that improve engineering productivity.
  • Familiarity with API management, gateway technologies, secrets management, and infrastructure tooling.
  • Strong analytical, troubleshooting, technical leadership, and problem-solving abilities.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.

Responsibilities

  • Design and enhance CI/CD platforms, deployment pipelines, and automated software delivery processes.
  • Develop reusable frameworks, internal platforms, and developer productivity tools.
  • Lead cloud modernization and platform engineering initiatives using cloud-native technologies.
  • Build and support scalable applications, APIs, services, and platform capabilities.
  • Collaborate with engineering, architecture, and product teams to solve complex technical challenges.
  • Improve scalability, resilience, security, and maintainability of enterprise systems.
  • Implement Infrastructure as Code (IaC), automation, and operational excellence practices.
  • Simplify development processes and improve SDLC and software delivery efficiency.
  • Mentor engineers and promote engineering best practices across teams.
  • Evaluate emerging technologies, AI-enabled engineering solutions, and innovation opportunities.
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