Senior Cloud Engineer

cloud software group•Fort Lauderdale, FL

About The Position

Citrix is the recognized leader in VDI, Desktop-as-a-Service and application delivery solutions that empowers enterprises of all sizes and industries to enable secure hybrid and remote working, from anywhere, using any device. Our platform delivers high-performance user experience, Zero Trust security and operational cost efficiency regardless whether customers require cloud, on-premises or hybrid deployment. We foster a culture of innovation, diversity, and continuous learning, making this an exciting time to be part of our transformation journey.. By joining our team, you'll have the opportunity to build cutting-edge solutions for 100 million people worldwide to securely access their desktops, applications and SaaS and web apps. About the Team: The Citrix Secure Private Access team is a product engineering unit responsible for the design, development, and evolution of foundational cloud software platforms that power the Citrix ecosystem. We build large-scale distributed systems that set the technical backbone for security, reliability, performance, compliance, and cost efficiency across our services. Our engineers work on complex system design problems, core feature development, scalability challenges, and platform modernization initiatives.

Requirements

5+ years of deep experience with a major provider (AWS, Azure, or Google Cloud).
Expert-level knowledge in containerization with Kubernetes (K8s) orchestration, Docker, and service meshes (like Istio).
Proficiency in at least one backend language used for tooling and automation (Python, Go, or Rust).
Advanced experience with Terraform, Ansible, or CloudFormation.
Solid Networking knowledge (TCP/IP, HTTP/S, DNS, load balancing, firewalls) relevant to troubleshooting cloud-native applications.
Expert proficiency in Object-Oriented Programming (OOP) and the .NET ecosystem (C# and .NET Core/.NET Framework).
Deep experience in designing, building, and deploying highly available Microservices and REST APIs.
Strong hands-on experience with Microsoft Azure/AWS services.
Practical experience with system monitoring, logging, and performance analysis using tools like Splunk, Grafana etc.
Familiarity with PowerShell, and containerization technologies (Docker, Kubernetes).
Experience: Minimum 7 years in Cloud development & engineering or DevOps roles.
Education: Bachelor’s or Masters in Computer Science, Engineering, or equivalent practical experience.

Nice To Haves

Hands-on experience with AI platforms and frameworks is a strong plus: Azure AI Foundry / OpenAI / Responses API Retrieval-Augmented Generation (RAG) Agentic AI frameworks: LangGraph, LangFuse, Microsoft Agent Framework (AI Agents, Workflows) AI Cognitive Search Model Context Protocol (MCP) AI Gateway
Certifications (Preferred): AWS Certified Solutions Architect Professional, Google Professional Cloud Architect, or CKA (Certified Kubernetes Administrator).

Responsibilities

Design and development of new capabilities and complex systems using cloud native frameworks.
Developing and deploying containerized applications using Kubernetes (AKS, EKS or GKE)
Implement and manage cloud services and infrastructure within the Microsoft-Azure, AWS and/or GCP platforms, focusing on scalability, and resiliency.
Create and maintain comprehensive technical documentation, including system design documents, API specifications.
Demonstrate success dealing with ambiguous “unsolved” problems; and the ability to independently make solid progress, requiring deep technical skills and the ability to quickly adapt to new areas.
Implement comprehensive monitoring, logging, and alerting systems to ensure 99.9% uptime and proactive issue resolution
Build software with observability by design, using tools like Splunk, Grafana, Azure Application Insights, and Log Analytics to drive diagnosis for performance bottlenecks, and to troubleshoot production issues.
Participate in on-call rotations with your team.
Triage and respond to critical production issues and advocate for opportunities to improve service health, stability, and reliability.
Embed security best practices into the platform, including identity management (IAM), encryption, and compliance auditing
Implement automated testing, fault-tolerance patterns, and self-healing mechanisms aligned with Chaos Engineering principles.
Use data-driven approaches to optimize scalability, reliability, and cost efficiency at the software-architecture level.
Collaborate closely with cross-functional teams to define requirements, estimate work, and deliver high-quality solutions on time.
Serve as a technical expert and resource for mid-level engineers, providing mentorship and guidance.