Cloud Engineer

About Aurexillion

Aurexillion Technologies is a US-based AI and IT consulting company helping businesses build secure AI systems, cloud platforms, automation workflows, data solutions, and custom software. We focus on practical digital transformation, not empty technology hype. Our work is centered on reliable architecture, secure delivery, cloud modernization, strong engineering practices, and long-term business value.

Role Overview

We are looking for a skilled Cloud Engineer to help design, build, migrate, deploy, and support cloud infrastructure and cloud-native systems for global clients. As a Cloud Engineer at Aurexillion, you will work on cloud architecture, infrastructure modernization, data platform migration, DevOps automation, CI/CD pipelines, monitoring, security, and production reliability. This role is a strong fit for someone who enjoys hands-on cloud engineering, solving complex infrastructure problems, improving system reliability, and working with distributed teams in a remote environment. You should be comfortable owning technical work, communicating clearly, documenting decisions, and helping clients move from legacy or fragmented systems to secure, scalable cloud platforms.

Key Responsibilities

• Design, build, and maintain secure cloud infrastructure on AWS, Azure, GCP, or equivalent platforms.
• Support cloud migration and modernization projects for applications, databases, services, and data platforms.
• Build and maintain infrastructure as code using Terraform, CloudFormation, or similar tools.
• Create and improve CI/CD pipelines for application deployment, infrastructure deployment, and data workflows.
• Design reliable cloud networking, IAM, security groups, access policies, storage, compute, and monitoring systems.
• Work with engineering teams to deploy cloud-native applications, APIs, microservices, and automation workflows.
• Support database and data platform migration projects, including schema planning, data movement, validation, and reconciliation.
• Build observability using monitoring, logging, alerting, dashboards, and incident-response workflows.
• Improve cloud security, reliability, scalability, cost efficiency, and performance.
• Troubleshoot production issues and support root-cause analysis.
• Collaborate with developers, project managers, technical recruiters, and client stakeholders.
• Document cloud architecture, deployment processes, runbooks, and technical decisions.
• Mentor team members and help improve cloud engineering standards.

Required Qualifications

• 5+ years of professional cloud engineering, DevOps, infrastructure, or platform engineering experience.
• Strong hands-on experience with at least one major cloud provider: AWS, Azure, or GCP.
• Experience designing and deploying production cloud infrastructure.
• Strong experience with infrastructure as code such as Terraform, CloudFormation, ARM/Bicep, or similar tools.
• Experience with CI/CD pipelines, deployment automation, and Git-based workflows.
• Experience with Docker and containerized application deployment.
• Strong understanding of cloud networking, IAM, security, storage, compute, and monitoring.
• Experience with databases such as PostgreSQL, SQL Server, MySQL, MongoDB, Aurora, RDS, or similar systems.
• Experience with monitoring and observability tools such as CloudWatch, Grafana, Prometheus, Datadog, New Relic, or similar.
• Strong troubleshooting, debugging, and production support skills.
• Ability to write clear technical documentation.
• Strong communication skills and ability to work remotely with global teams.
• English level C1 or higher for technical calls, documentation, and client communication.

Tech Stack You May Work With

You do not need to know every tool, but you should have strong cloud fundamentals, hands-on production experience, and the ability to learn quickly.

• Cloud platforms: AWS, Azure, GCP.
• Infrastructure and DevOps: Terraform, CloudFormation, GitHub Actions, Azure DevOps.
• Containers: Docker, Kubernetes, Helm.
• Systems and scripting: Linux, Bash, Python.
• Databases: PostgreSQL, SQL Server, MySQL, MongoDB, Aurora, RDS, Redshift.
• Data and messaging: S3, Lambda, Glue, DMS, Kinesis, Kafka/MSK.
• Observability: CloudWatch, Grafana, Prometheus, Datadog.
• Architecture: REST APIs, microservices, cloud-native applications.
• Security: IAM, networking, monitoring, automation, and access controls.

Preferred Qualifications

• Experience with AWS services such as EC2, ECS, EKS, Lambda, S3, RDS, Aurora, Redshift, DMS, Glue, Kinesis, CloudWatch, IAM, VPC, and Lake Formation.
• Experience with Azure services such as Azure App Service, AKS, Azure Functions, Azure SQL, Blob Storage, Key Vault, Monitor, and DevOps.
• Experience with GCP services such as BigQuery, Cloud SQL, Cloud Run, GKE, Pub/Sub, Dataflow, Cloud Storage, and IAM.
• Experience migrating workloads between cloud providers, especially GCP to AWS or on-premises to cloud.
• Experience with Kubernetes, Helm, service meshes, or platform engineering.
• Experience with Kafka, MSK, event streaming, or real-time data pipelines.
• Experience with data platform migration, ETL/ELT pipelines, CDC, and large-scale data synchronization.
• Experience working with SaaS platforms, enterprise systems, fintech, healthcare, or consulting clients.
• Cloud certifications such as AWS Solutions Architect, AWS DevOps Engineer, Azure Administrator, Azure Solutions Architect, Google Professional Cloud Architect, or Google Cloud Engineer.
• Familiarity with AI/ML infrastructure, LLM APIs, vector databases, or AI-powered application deployment.

What We Are Looking For

• Hands-on and delivery-focused.
• Strong in cloud infrastructure and DevOps.
• Comfortable owning technical work from design to deployment.
• Clear in communication and documentation.
• Practical, responsible, and detail-oriented.
• Able to work independently in a remote environment.
• Strong at troubleshooting and solving complex cloud problems.
• Interested in AI, automation, cloud modernization, and secure digital transformation.
• Focused on reliability, security, scalability, and long-term maintainability.

Why Join Aurexillion

• Remote-first global work environment.
• Work on cloud, AI, automation, data, and software projects.
• Opportunity to influence cloud architecture and engineering standards.
• Direct impact in an early-stage consulting company.
• Work closely with leadership and technical teams.
• Flexible, ownership-driven culture.
• Exposure to multiple industries, clients, and modern cloud systems.
• Opportunity to grow with the company as we scale.

Equal Opportunity

Aurexillion welcomes skilled professionals from different backgrounds and locations. We evaluate candidates based on experience, communication, ownership, technical judgment, and ability to contribute to high-quality work.