Senior Cloud Engineer

What’s the opportunity?

Reporting to the Head of Platform Engineering, the Senior Cloud Engineer is responsible for driving the complete automation of our platform provisioning, configuration, and management. You will leverage tools such as Terraform, Azure, AKS, Kubernetes, Kustomize, Helm, Argo CD, and GitOps to spearhead the design, build, and automation of a highly available, scalable, secure, and reliable Cloud Infrastructure Platform based on Azure and Azure Kubernetes Services (AKS). Your role will support our mission to enable development teams to deliver high-quality software faster, more reliably, and securely. You will be a force multiplier in our team’s mandate to continuously improve and enhance the platform’s capabilities, ensuring it remains cutting-edge and highly efficient, continuously evolving to meet the needs of the organization and its users. This role requires operational expertise, customer focus, and the ability to work collaboratively with cross-functional teams to drive customer satisfaction.

Mode of Work: Hybrid

What will you do?

• Lead the design and implementation of a scalable, reliable, secure, and highly available Cloud Infrastructure Platform based on Azure and Azure Kubernetes Service (AKS).
• Drive the complete automation of platform provisioning, configuration, and management using tools like Terraform and Argo CD.
• Automate Infrastructure Provisioning with Terraform: Design and manage cloud infrastructure using Terraform to implement infrastructure as code (IaC), utilizing Terraform modules to ensure modular, reusable, and maintainable configurations for consistent, repeatable deployments.
• Develop automated workflows with CI/CD pipelines to streamline and accelerate software delivery, eliminating any manual interventions.
• Design and maintain GitOps workflows using tools such as Argo CD to automate the deployment and management of infrastructure and applications, ensuring seamless integration with Kubernetes clusters. Use GitOps principles to automatically detect and correct configuration drifts, ensuring that the actual state of the system always matches the desired state.
• Implement self-healing and auto-scaling mechanisms to enhance platform resilience and performance.
• Drive Continuous Improvement and Enhancement: Lead initiatives to continuously improve and enhance the platform by identifying inefficiencies, implementing automation, eliminating any manual toil, adopting new technologies, and optimizing existing processes to ensure higher reliability, performance, and scalability.
• Collaborate closely with the Cloud Operations team to facilitate a seamless handover of support and maintenance tasks. Deliver documentation, conduct necessary knowledge transfer sessions, and provide ongoing mentorship to enable the cloud operations team to take over operational tasks successfully.
• Implement Observability for Applications and Infrastructure: Utilize Azure’s suite of observability tools, including Azure Monitor, Application Insights, Log Analytics, and Azure Network Watcher, to monitor and alert on the performance and health of applications and infrastructure. Ensure comprehensive visibility into application health and performance, enabling proactive detection and resolution of issues. Set up alerts and dashboards to provide real-time insights and proactive notifications for infrastructure anomalies and performance degradation.
• Deliver Self-service Documentation to ensure that development and operations teams can easily consume and support the platform independently. This will reduce dependency on the platform engineering team and facilitate the handover of operational responsibilities to the cloud operations team, equipping them with the necessary knowledge and tools to manage day-to-day operations effectively.
• Provide L3 and L4 support to aid in the resolution of Cloud Platform-related incidents.

What do you need to succeed?

Must haves:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in DevOps, Cloud Infrastructure, and Platform Engineering.
• Extensive experience and strong expertise with Terraform for infrastructure as code (IaC): Proficient in designing, writing, and maintaining Terraform configurations, utilizing modules for modular and reusable code.
• Extensive experience and strong expertise in Azure services, especially Azure Kubernetes Service (AKS): Deep understanding and extensive experience with Azure cloud services and hands-on experience managing AKS clusters.
• Strong expertise in Kubernetes: Comprehensive knowledge of Kubernetes architecture, cluster setup, management, and troubleshooting. CKA certification is preferred.
• Proficient in using Helm charts and Kustomize for Kubernetes resource management.
• In-depth knowledge of Argo CD tool and GitOps principles: Experience in setting up and managing Argo CD for automated deployments and GitOps workflows.
• Strong Experience with CI/CD pipelines: Expert in developing, managing, and optimizing CI/CD pipelines using Azure Pipelines and other tools like Jenkins and GitHub Actions
• Solid understanding of networking, security, and infrastructure best practices: Expertise in implementing network configurations, security protocols, and maintaining compliance standards.
• Strong understanding of Identity and Access management (IAM)  and experience with tools like Okta, Azure AD, Ping Identity or Auth0
• Hands-on experience with Azure suite of Observability tools such as Azure Monitor, Application Insights, Log Analytics, and Azure Network Watcher for monitoring and alerting on application and infrastructure health and performance.
• Proficiency in scripting languages (Python, Bash): Capable of writing scripts to automate tasks and manage configurations.
• Experience with configuration management tools (Ansible, Chef, Puppet): Knowledgeable in using these tools for automating system configurations.
• Excellent problem-solving skills and the ability to independently troubleshoot complex issues: Proven track record of resolving infrastructure and application-related problems efficiently.
• Strong communication and collaboration skills: Able to work effectively with cross-functional teams and provide mentorship.