Senior Engineer, AI Systems & Automation

Coalfire

full-time

Posted on: 9/5/2025

Location: 🇺🇸 United States

✨ AI Apply

💰 $152,000 - $168,000 per year

Senior

AWSCloudCyber SecurityDistributed SystemsGoJavaJavaScriptKubernetesMicroservicesPythonRustTypeScript

About the role

Design, code, and maintain APIs, services, and user-facing components
Implement and maintain CI/CD pipelines, deployment processes, and automation tools
Build and optimize microservices running on AWS and Kubernetes
Collaborate with architects, product managers, and AI engineers to translate requirements into technical solutions
Ensure system reliability, performance, and security through robust engineering practices
Troubleshoot, debug, and resolve complex technical issues in production systems
Contribute to technical documentation, coding standards, and best practices
Participate in code reviews and mentor junior developers when needed

7–10+ years in software development with proven experience in full-stack roles
Proficiency in Python and experience with JavaScript/TypeScript frameworks
Strong background in API development and system integration
Hands-on experience with AWS cloud services and Kubernetes orchestration
Solid understanding of DevOps practices, CI/CD pipelines, and infrastructure automation
Exposure to microservice architectures and distributed systems
AWS Developer or Architect certifications, DevOps certification (preferred)
Strong coding discipline and attention to detail
Collaborative and team-oriented mindset with excellent communication skills
Problem-solver with the ability to learn quickly and adapt to new technologies
Organized and capable of managing multiple priorities in fast-paced environments
Passion for automation, scalability, and building robust systems
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Preferred: Previous experience in automation engineering, big data, or analytics environments
Preferred: Additional programming languages (e.g., Go, Java, Rust)
Preferred: Familiarity with data engineering practices and tools
Preferred: Hands-on experience with observability, logging, and monitoring frameworks