Director of Production Engineering

About This Opportunity

Our talent team is representing a confidential SaaS organization seeking a Director of Production Engineering to lead reliability, automation, and security operations for their AWS-based platform. This is a remote position based in the United States.

This hands-on leadership role combines strategic vision with technical contribution. You'll spend approximately 20-30% of your time contributing directly to architecture, tooling, and incident response, while driving team vision, roadmap development, and cross-functional execution. The production environment leverages AWS services including EKS, RDS, and native AWS technologies.

Responsibilities

• Build and lead a globally-distributed DevOps/SRE engineering team, recruiting and mentoring engineers while fostering a culture of ownership and continuous improvement
• Own the reliability and infrastructure roadmap for AWS-based production environments (EKS, RDS, related services), ensuring scalability, high availability, and cost efficiency
• Lead security operations (SecOps) practice including vulnerability management, threat detection, incident response, and remediation
• Define and drive engineering OKRs for infrastructure reliability, automation, and security with measurable outcomes
• Champion observability and alerting best practices using platforms like Datadog, automating alert triage and response
• Apply understanding of agentic AI infrastructure and workflows to SDLC and DevOps processes
• Drive Infrastructure-as-Code, CI/CD, and automation practices to increase velocity and reduce operational toil
• Partner with engineering and IT teams to align on infrastructure standards, access controls, tooling, and compliance requirements
• Ensure platform meets security, compliance, and data protection standards; maintain robust security controls and audit-readiness
• Lead and participate in Incident Management on-call rotation to meet availability goals
• Provide technical guidance and thought leadership on cloud, DevOps, and security best practices

What We're Looking For

Required Qualifications:

• 8-12 years of experience in DevOps, Site Reliability Engineering, or production infrastructure roles, including people management
• Deep hands-on experience running production workloads on AWS (EKS/Kubernetes, RDS, VPC, IAM, Lambda, S3)
• Demonstrated experience running security operations — vulnerability management, incident response, and production security remediation
• 5+ years leveraging observability platforms (Datadog, Prometheus, Grafana) for reliability and alerting improvements
• Strong experience with Infrastructure-as-Code (Terraform, CloudFormation) and CI/CD automation
• Proficiency in Go, Python, or Bash with day-to-day Git and test automation pipeline usage
• Hands-on experience operating Linux/Unix production platforms (Amazon Linux, Ubuntu, RHEL/CentOS)
• Proven track record partnering cross-functionally with engineering and IT teams
• Demonstrated experience leading incident management and on-call practices for high-availability systems
• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)

Preferred Qualifications:

• Experience with additional cloud providers (Google Cloud Platform, Oracle Cloud Infrastructure)
• Security certifications (CISSP, AWS Security Specialty, CKS)
• Experience with compliance frameworks (SOC 2, ISO 27001, HIPAA)
• 3+ years with Kubernetes or containerization/orchestration platforms at scale
• Experience with Kubernetes-native delivery tooling (Argo Workflows, Helm)
• 5+ years leading teams in agile/scrum environments
• Experience building automated investigation and remediation pipelines

How We Work With You

As a candidate, you'll apply directly through Get A Job.ai. Our recruiting team will screen your application and qualifications. If there's a strong match, we'll submit your profile to our client for consideration. Please do not attempt to contact the client organization directly, as all communication should flow through our team to ensure a smooth process.

Pay

The client has indicated a base salary range of $220,000 - $265,000, plus bonus and stock equity. Final compensation will be determined based on your location, experience level, education, and specialized skills. The role includes comprehensive benefits effective from day one.

Equal Employment Opportunity: Get A Job.ai is committed to maintaining a diverse and inclusive environment. All qualified applicants will be considered without regard to race, color, religion, sex, age, disability, marital status, sexual orientation, gender identity, national origin, veteran status, or any other legally protected status.