Specialist II, Cloud Platform & Operations

Job Description:

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)

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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.