Specialist II, Cloud Platform & Operations

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.