SRE Cloud Engineer

About the SRE Cloud Engineer Role at Ford Motor Company

We’re passionate about building software that solves problems. We count on our Site Reliability Engineers (SREs) to empower our users with a rich feature set, high availability, and stellar performance level to pursue their missions. We are currently seeking a public cloud experienced engineer for planning, designing and implementing next generation cloud infrastructure solutions. As an SRE Cloud Engineer, you will be a part of the Engineering team and will require a strong knowledge of application monitoring, infrastructure monitoring, automation, maintenance, and Service Reliability Improvements.

Responsibilities

• Design, automate and manage a highly available and scalable cloud deployment that allows development teams to deploy and run their services.
• Collaborate with engineering and Architects teams to evaluate and identify optimal cloud solutions, also leveraging scalability, high-performance and security.
• Modernise existing on-prem solution and improving existing systems.
• Extensively automate deployments and manage applications in GCP.
• Develop and maintain cloud solutions in accordance with best practices.
• Ensure efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.
• Collaborate with Engineering teams to identify optimization strategies, help develop self-healing capabilities.
• Design and architect middleware solutions that align with the overall system architecture and meet business requirements. This involves selecting the appropriate middleware technologies and patterns for seamless integration.
• Write code and configure middleware components to enable communication and data flow between various systems. This includes developing APIs, message queues, and other middleware services.
• Integrate different applications and services using middleware technologies, ensuring they can communicate effectively and exchange data in a standardized manner.
• Identify and resolve issues related to middleware, such as communication failures, performance bottlenecks, or data inconsistencies.
• Experience in developing strong observability capabilities.
• Identify, analyse, and resolve infrastructure vulnerabilities and application deployment issues.
• Regularly review existing systems and make recommendations for improvements.

Qualifications

Required Skills and Selection Criteria:

• Proven work experience in designing, deploying and operating mid to large scale public cloud environments.
• Professional Certification is an advantage.
• Public Cloud knowledge, especially GCP, is a significant advantage.
• Proven work experience in provisioning Infrastructure as Code (IaC) using Terraform Enterprise or community edition.
• Proven work experience in writing custom Terraform providers/plug-ins with Sentinel Policy as Code.
• Proven work experience in containerisation via Docker.
• Strong working experience in Virtualisation via Kubernetes (image building, k8s schedule) is good to have.
• Experience in package, config and deployment management via Helm, Kustomize, ArgoCD.
• Strong knowledge in Github, DevOps (Tekton / GCP Cloud Build is an advantage).
• Proficient in scripting and coding, including traditional languages like Java, Python, GoLang, JS and Node.js.
• Proven working experience in Messaging Middleware - Apache Kafka, RabbitMQ, Apache ActiveMQ.
• Proven working experience in API gateway; Apigee is an advantage.
• Proven working experience in API development, REST.
• Proven working experience in Sec and IAM, SSL/TLS, OAuth and JWT.
• Extensive knowledge and hands-on experience in Grafana and Prometheus micro libraries.
• Experience in self-hosted private / public cloud setup.
• Exposure to Cloud Monitoring and logging.
• Experience with distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (Mesos, Kubernetes, Yarn).
• Experience with automation tools should be a priority.

Preferred Qualifications:

• Previous success in Cloud Engineering, DevSecOps.
• Must have 5+ experience in DevSecOps.
• Must have minimum 3+ experience in Cloud Engineering.

Key skills/competency

• Public Cloud
• GCP
• Infrastructure as Code (IaC)
• Terraform
• Kubernetes
• Docker
• Messaging Middleware
• API Development
• Observability
• Scripting (Python, GoLang, Java)