Design, build, and maintain scalable cloud infrastructure while leveraging AI-driven operational tools to automate and optimize system performance. Collaborate with cross-functional teams to implement CI/CD pipelines, manage identity solutions, and ensure high availability through proactive monitoring and incident response.
Job Description:
We are seeking an experienced Senior Cloud Infrastructure & AIOps Engineer to join our platform engineering team. This role is critical to building and maintaining our cloud infrastructure while leveraging AI-driven operational tools to automate, optimize, and scale our systems. The ideal candidate will have deep expertise in cloud services, infrastructure-as-code, identity management, and emerging AIOps technologies.
Position Overview
We are seeking an experienced Senior Cloud Infrastructure & AIOps Engineer to join our platform engineering team. This role is critical to building and maintaining our cloud infrastructure while leveraging AI-driven operational tools to automate, optimize, and scale our systems. The ideal candidate will have deep expertise in cloud services, infrastructure-as-code, identity management, and emerging AIOps technologies.
Key Responsibilities
Design, build, and maintain scalable cloud infrastructure on AWS and/or GCP using vendor-agnostic approaches and best practices
Develop and maintain Infrastructure-as-Code using Terraform for reproducible, version-controlled infrastructure deployments
Implement and manage Identity & Access Management (IAM) solutions, including Okta and Auth0 integrations for secure authentication and authorization
Lead AIOps initiatives using AI-driven operational tools to automate monitoring, incident response, and remediation processes
Mentor junior engineers on cloud infrastructure best practices, DevOps fundamentals, and automation techniques
Collaborate with development and operations teams to ensure infrastructure reliability, security, and performance
Implement CI/CD pipelines and deployment automation to enable rapid, safe releases
Monitor, troubleshoot, and optimize cloud infrastructure performance, costs, and security posture
Participate in on-call rotations and incident response to ensure high availability and quick recovery
Required Qualifications
6-9 years of experience in DevOps, cloud infrastructure, or site reliability engineering
Strong hands-on experience with AWS and/or GCP cloud platforms, with understanding of multi-cloud and vendor-agnostic architecture patterns
Expert-level proficiency with Terraform for infrastructure provisioning and management
Demonstrated experience implementing and managing identity and access management solutions (Okta and/or Auth0)
Solid understanding of DevOps fundamentals including containerization, orchestration, and automation
Experience with AIOps concepts and tools for operational intelligence, predictive analytics, and automated remediation
Proficiency in scripting languages (Python, Bash, Go, or similar) for automation and tooling
Strong knowledge of containerization (Docker) and container orchestration platforms (Kubernetes)
Excellent communication and problem-solving skills with the ability to mentor and lead engineering teams
Relevant cloud certifications (AWS, GCP, or similar)
margin-top:0cm;"> margin-top:0cm;">undefined
Preferred Qualifications
Experience with machine learning operations (MLOps) and AI/ML infrastructure deployment
Hands-on experience with advanced monitoring and observability platforms (Dynatrace, New Relic, Prometheus, ELK stack)
Knowledge of security best practices, including infrastructure security hardening and vulnerability management
Track record of implementing incident management and disaster recovery strategies
Contributions to open-source infrastructure or DevOps projects
What We're Looking For
Above all, we're seeking a technically excellent engineer who:
Is passionate about AIOps and leveraging AI to solve operational challenges and improve system reliability
Thinks strategically about cloud architecture while maintaining pragmatism about trade-offs and costs
Values automation, repeatability, and treating infrastructure as code
Is committed to continuous learning and staying current with rapidly evolving cloud and AI technologies
Excels at collaboration and enjoys working across teams to solve complex technical problems
Demonstrates ownership and takes pride in building reliable, secure, and scalable systems
NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
“I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”