Senior Engineer, AI Systems & Automation

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September 5

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Coalfire

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Cybersecurity • Compliance • Enterprise

Coalfire is a cybersecurity services provider that helps businesses improve their security resilience and streamline regulatory compliance. The company offers expert-led services, including threat-focused cybersecurity programs, compliance automation, risk management, and security advisory services across various industries such as financial services, healthcare, retail, and technology. Coalfire is known for its hacker and defender expertise, and its platforms are designed to fortify clients' cyber resilience, reduce attack surfaces, and accelerate the achievement of compliance objectives like FedRAMP and HITRUST.

1001 - 5000 employees

Founded 2001

🔒 Cybersecurity

📋 Compliance

🏢 Enterprise

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Flexible work model that empowers you to choose when and where you’ll work • Paid parental leave • Flexible time off • Certification and training reimbursement • Digital mental health and wellbeing support membership • Comprehensive insurance options • Opportunities to join employee resource groups • In-person and virtual events • Competitive perks and benefits to support you and your family