Note: The job is a remote job and is open to candidates in USA. North is an end-to-end payment solutions company providing credit card processing, merchant services, and payment technology. The Principal Cloud & AIOps Engineer drives the architecture, automation, security, and operational resilience of North's multi-cloud infrastructure, leveraging AI and machine learning to build scalable, self-healing systems. The role establishes cloud engineering standards, develops intelligent automation and observability capabilities, and partners with DevOps, Site Reliability, Product Engineering, and InfoSec teams.
Responsibilities
- Architect, optimize, and maintain NAB’s Amazon Web Services (AWS) and multi-cloud environments for maximum availability, disaster recovery, and cost efficiency
- Design and implement AIOps platform capabilities, automated anomaly detection, predictive scaling, and self-healing incident remediation workflows using AI/ML operational tooling
- Establish enterprise-wide standards for IaC (Terraform, Ansible) and CI/CD automation pipelines to streamline secure software delivery
- Enforce zero-trust network perimeters and maintain strict compliance with industry security frameworks, including PCI Digital Security Standard
- Build telemetry data pipelines (metrics, logs, traces) to aggregate system performance data into intelligent observability engines
- Evaluate, pilot, and deploy generative AI tools and LLM/AI-assisted developer tooling to enhance engineering productivity and cloud cost management
- Work directly with DevOps, Site Reliability, Product Engineering, and InfoSec teams to integrate cloud infrastructure best practices
Skills
- Bachelor's Degree in Computer Science, Software Engineering, or a related technical field
- 7+ years of experience in cloud infrastructure engineering, with extensive hands-on experience in AWS
- Deep expertise in Linux systems administration (RHEL, Ubuntu) and enterprise automation
- Production experience using Terraform and Ansible for IaC and configuration management
- Proven experience implementing AIOps frameworks, machine learning models for anomaly detection, or AI-driven observability tools (e.g., Datadog, Prometheus/Grafana AI plugins, Dynatrace)
- AWS Certified Solutions Architect (Professional) or AWS Certified DevOps Engineer (Professional)
- Hands-on experience with PCI-DSS compliant infrastructure and security controls
- Experience with multi-cloud deployments (Google Cloud Platform)
- Scripting/Programming proficiency in Python, Bash, or Perl
- Experience with AI/ML workflow pipelines, vector data indexing, or deploying AI model workloads in containerized environments (Kubernetes/EKS)
Benefits
- Medical, Dental, & Vision Coverage
- Flexible Paid Time Off
- 401(k) + Match
- Mental Health Support & Well-Being Program
- Paid Maternity & Paternity Leave
- Education Assistance
- Company-funded Lifestyle Spending Account
Company Overview